The Resource: http://www.csiss.org/learning_resources/content/good_sa/
Description: 2001 ESRI Users Conference Seminar presentation. The course will introduce participants with some knowledge of GIS to the capabilities of spatial analysis. Each of the five major sections will cover a major application area and review the techniques available, as well as some of the more fundamental issues encountered in doing spatial analysis with a GIS.
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The Resource: http://www.csiss.org/learning_resources/content/argus/A1MAIN.DIR
Description: Large CD-ROM collection or interactive education materials. ARGUS began in 1991 with the signing of an international agreement to develop and exchange accurate and up-to-date high-school geography teaching materials. In the following years, hundreds of individual contributors produced material for the ARGUS project in a variety of areas, resulting in a printed 88-page text, 35 classroom activities, 264 transparency masters, comprehensive teacher\\\'s guide, and lesson outlines. This CD-ROM version contains most of the original material. The ARGUS CD-ROM materials are in Macromedia Director Shockwave format, readable with a common web browser plug-in. The ARGUS materials can be taught by teachers with little or no geographic training. The ARGUS materials meet nearly every skill and content standard in the US National Geography Standards.
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The Resource: Link
Description: \\
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The Resource: http://www.csiss.org/classics/content/51
Description: classic: Alfred Weber�s foundational theory of industrial location coupled manufacturing processes spatial factors, calculated by location triangles using spatial factors such as transport costs, agglomeration of industries and labor force, and raw materials.
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The Resource: http://www.csiss.org/classics/content/38
Description: classic: describes Taeuber�s large-scale survey of racial segregation in U.S. cities in early 1960s. Using census data, ranked and mapped neighborhood segregation by race and education
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The Resource: Link
Description: The object of this class is for students to work with secondary databases, geographic information systems / GIS, and other analytical software, and to conduct a spatial analytic study of crime patterns. In a follow-up class by Dr. Boba, in Special Criminological Problems, the objective is to understand how crime analysis and crime mapping are practiced in everyday law enforcement. ArcView GIS excersizes and critique of media and crime mapping websites.
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The Resource: Link
Description: Interactive CD-ROM activity from the ARGUS collection, in Macromedia Director/Shockwave format. This lesson teaches about making isoline maps from point patterns, by interpolating between point values and connecting areas with similar values.
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The Resource: Link
Description: Interactive CD-ROM activity from the ARGUS collection, in Macromedia Director/Shockwave format. This unit demonstrates how to depict population growth patterns using proportional and point symbol maps. Sections of this activity include calculating percentage change in population, selecting symbols and making a map, and comparing maps of population and population change.
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The Resource: Link
Description: Interactive CD-ROM activity from the ARGUS collection, in Macromedia Director/Shockwave format. This unit introduces population pyramids and presents a simple example of how to make a population pyramid from demographic data.
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The Resource: Link
Description: Interactive CD-ROM activity from the ARGUS collection, in Macromedia Director/Shockwave format. This unit demonstrates how to make a choropleth map of population trends and teaches about what type of data is appropriate for a choropleth map. Topics include categorization of data, shading sequences, and understanding trends.
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The Resource: Link
Description: Interactive CD-ROM activity from the ARGUS collection, in Macromedia Director/Shockwave format. This activity presents GIS data capture as a choice between two choices, tagging and counting. The relationship between accuracy and pixels or spatial resolution is also presented.
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The Resource: Link
Description: Interactive CD-ROM activity from the ARGUS collection, in Macromedia Director/Shockwave format. This activity includes four sections: choosing appropriate weights for factors influencing site selection decisions, assigning points for some real places, calculating totals and interpreting results, and two messy questions. The activity ends with a discussion on other important criteria for site selection.
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The Resource: Link
Description: Interactive CD-ROM activity from the ARGUS collection, in Macromedia Director/Shockwave format. This activity involves choosing a location for a town or settlement, taking into account the settlement\'s site (the features at a specific location) and its situation (the linkages between this location and other locations).
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The Resource: Link
Description: This is an interactive CD-ROM unit from the ARGUS collection. This unit is an introduction to map scale, with parts on estimating distance and identifying features from maps at different scales, with examples. Students will learn how to locate features, measure distance and area, and know what information to expect on maps of different scales.
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The Resource: Link
Description: Interactive CD-ROM activity from the ARGUS collection. The activity teaches about dot maps, pattern analysis, symbolization, and map comparisons. \'Dot maps can be some of the most powerful tools for geographic analysis, because they can clearly show the geographic pattern (if any) of things as different as burglaries, crops, mini-malls, theaters, and UFO sightings.\' This unit will teach students to recognize and describe geographic patterns on dot maps, and compare them with other maps to find relationships.
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The Resource: Link
Description: Interactive CD-ROM activity from the ARGUS collection, in Macromedia Director/Shockwave format. This activity introduces trade flows and presents examples on depicting trade flows on maps using flowlines.
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The Resource: Link
Description: CD-ROM version of ARGUS unit on map design and symbolization. \'This unit is about decisions in making maps and how they can affect the reader\'s perception of the data shown on the map.\' Sub-topics include map-based decision making, proportional symbol scaling, and map symbolization experiments.
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The Resource: Link
Description: Interactive CD-ROM lesson from ARGUS materials on map overlay and site selection methodology. Sub-topics include \'the windowing method\', \'choosing a site in Alaska\', and \'Deciding what factors to consider\'. The material is in Macromedia Director Shockwave format.
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The Resource: http://www.csiss.org/classics/content/45
Description: classic: Charles Booth�s maps of London between 1886-1903 documenting distribution poverty, employment, labor, and religion by maps and extensive qualitative field notes of each street, now available online.
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The Resource: http://www.csiss.org/classics/content/43
Description: classic: Tiebout Hypothesis.\
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The Resource: Link
Description: This course is designed for graduate students interested in urban planning. The course goal is to learn basic computer application skills in three focus application areas. These focus application areas include software that is particularly useful to professionals interested in urban planning and management. The three applications are spreadsheets, relational database management systems (RDBMS), and desktop Geographic Information Systems (mapping).\\
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The Resource: http://www.csiss.org/classics/content/36
Description: classics: Doxiadis introduction of ekistics for study of human settlements and urban planning for returning human and humane scale to urban growh and sprawl.
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The Resource: http://www.csiss.org/clearinghouse/select-tools.php3
Description: CSISS Tools Clearinghouse: Select Tools: tools particularly suited to the analysis of spatial phenomena. Below is a list of Spatial Analysis Tools. CSISS researchers have chosen these tools for their usefulness in aiding the exploration and analysis of spatial phenomena in the social sciences. Currently includes URL links
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The Resource: http://www.csiss.org/classics/content/40
Description: classic: essay ties Cubism in art to the issue of cartography and map projection, in which Picasso and others tried to represent three dimensions on two-dimensional canvas, and geographers distorting spatial properties of a sphere with a map.
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The Resource: Link
Description: Lecture, Culture and Cultural Landscapes, from Introductory Lecture Resources in Spatial Social Science, by Stuart Sweeney. Description of cultural geography, cultural regions, realms, and hearths, Carl Sauer, diffusion mechanism, perceptual vs. cultural regions, determinism and possibilism. With examples, animations, and images.
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The Resource: http://www.csiss.org/classics/content/15
Description: classic: Overview of the concept and history of cultural areas in anthropology and cultural Geography. Example of Clark Wissler�s mapping Native American culture from ethnographic data.
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The Resource: http://www.csiss.org/classics/content/13
Description: CSISS classic: Development of Proxemic Theory - study of the human use of space within the context of cultural differences in the social perception of space. Relevance for anthropology, urban planning, communication, and cultural geography.
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The Resource: http://www.csiss.org/classics/content/24
Description: classics: Biography of Ellen Churchill Semple, one of the first female American geographers with orientation to human aspects and anthropology. Overview of fieldwork research in Kentucky showing cultural effects of geographic isolation of region and environmental determinism, and relation of geography to American history and migration.
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The Resource: http://www.csiss.org/classics/content/35
Description: classic: Florence Kelly�s social survey research with the Hull House on Chicago�s urban poverty patterns, income and social class statistics with cartograms aimed at inspiring social reform
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The Resource: Link
Description: Lecture, Fundamental Concepts: The Spatial Perspective. From Introductory Lecture Resources In Spatial Social Science, by Stuart Sweeney. The Spatial Perspective, Global/Regional/Local scales, Location, Distance, Direction, Maps, GIS, Structured place attributes/spatial distribution, Human-Environment interaction, Maps and Mobility, Regions, Mental Maps, Map Projections, Global Grids.
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The Resource: http://www.css.cornell.edu/courses/420/css420.html
Description: Course syllabus with linked powerpoint lecture slides, assignments. This course is intended for undergraduate and graduate students who have the desire to understand the basic concepts underlying geographic information science and technology. Emphasis is placed on the principles of GIS for characterizing environmental systems and computer-based techniques for processing and analyzing spatial data. Map understanding, database design and development, data transformations, spatial analysis, map accuracy assessment, and data visualization are considered. Issues discussed relate to needs assessment, collaborative spatial decision-making, and implementation of GIS within organizations. The course objectives are to 1)increase student awareness of GIS science and technology; 2) provide opportunities to process, analyze, and visualize spatial data and information using commercially-available GIS software; 3) generate enthusiasm and interest in using GIS for meeting environmental assessment needs; and 4) gain an appreciation for the complexities of data manipulation, analysis, and mapping at different scales of space, time, and complexity. Professors Arthur J. Lembo, Jr. and Stephen D. DeGloria, Department of Crop and Soil Sciences, Cornell University Course topics with attached powerpoint slides: Conceptual Framework of GIS GIS Structure & Function Coordinate Systems Conceptual Framework of GIS GIS Structure & Function Coordinate Systems Map Projections GIS Data Database Design & Development Function and Structure of Maps Bio-Physical Databases Surface Analysis Linear Operations Spatial Modeling and Analysis Spatial Interpolation GeoStatistics ; Spatial Stats. ; Kriging Error Evaluation & Management Data Visualization & Presentation GIS Organization & Management Global Positioning System Internet GIS GIS Applications Computer Lab Policies & Procedures ArcInfo Introduction ArcView Introduction Data Organization Project Design Map Preparation ArcGIS Tips Map Digitizing & Editing Creating & Editing Tabular Data Accessing, Managing & Transforming Data Spatial Analysis of Ecological Land Types Change Analysis and Map Accuracy Assessment Map Layout and Production Data Visualization & Presentation
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The Resource: http://www.csiss.org/cookbook/background.php
Description: GIS cookbook: an introductory collection of simple descriptions and illustrations of GIS methods: Entry page to Background Information about Geocoding and Background Information about Buffers
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The Resource: http://www.csiss.org/cookbook/background/2
Description: GIS cookbook: an introductory collection of simple descriptions and illustrations of GIS methods written with minimal GIS jargon. Background on buffering to display and identiry areas at a specified distance from original object. Pros and cons
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The Resource: http://www.csiss.org/cookbook/background/1
Description: GIS cookbook: a collection of simple descriptions and illustrations of GIS methods written with minimal GIS jargon. Background on geocoding, locating things with a geographic frame of reference.
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The Resource: http://www.csiss.org/cookbook/starters.php
Description: GIS cookbook: an introductory collection of simple descriptions and illustrations of GIS methods. Directory: geting started, opening new project, adding data, new view
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The Resource: http://www.csiss.org/cookbook/starter/13
Description: GIS cookbook: an introductory collection of simple descriptions and illustrations of GIS methods. instructions for selecting data files and adding data to new view or project in ArcView 3.2
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The Resource: http://www.csiss.org/cookbook/starter/12
Description: GIS cookbook: an introductory collection of simple descriptions and illustrations of GIS methods. instructions for new view or project in ArcView 3.2
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The Resource: http://www.csiss.org/cookbook/glossary.php
Description: Index to GIS cookbook: recipes and simple descriptions illustrating GIS methods of buffering an area in ArcGIS 8.1. Used to show boundary influences
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The Resource: http://www.csiss.org/cookbook/
Description: Index to GIS cookbook: a collection of simple descriptions and illustrations of GIS methods written with minimal GIS jargon. Recipes cover two GIS software platforms, ArcView 3.2 and ArcGIS 8.1. For social scientists interested in adding spatial thinking to research.
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The Resource: http://www.csiss.org/cookbook/recipe/11
Description: agement system - A database management system with the ability to access data organized in tabular files that can be related to each other by a common field. An RDBMS can recombine the data items from different files, providing powerful tools for data usage. RDBMS services include validation rules, relationships, and topological associations. * Rematching - A re-geocoding of a subset of addresses (which can included all or fewer than the original set of addressed) of features in a geocoded feature class. Rematching is done when partial or unmatched records result when geocoding address with errors such as misspellings or other data entry errors. * Scale - The distance ratio measured on a map to that distance measured on the ground between the same two points. For example if one cm on a map equals 1,000,000 cm in the real world the map scale would be 1:1,000,000. This scale of 1:1,000,000 on the map would be considered small scale compared to a map with a scale of 1:1,000 * Select feature tool - The Select Feature tool lets you select features with the mouse by pointing at them or by dragging a selection box over them. Features that fall partly or wholly inside the box you define will be selected. Features will be selected from all of the currently active themes
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The Resource: http://www.csiss.org/cookbook/recipe/1
Description: Index to GIS cookbook: recipes and simple descriptions illustrating GIS methods of buffering an area in ArcView 3.2. hospital care zone example
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The Resource: http://www.csiss.org/cookbook/recipe/5
Description: GIS cookbook: recipes and simple descriptions illustrating GIS methods of classifying data in ArcView 3.2. census tract example
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The Resource: http://www.csiss.org/cookbook/recipe/9
Description: GIS cookbook: recipes and simple descriptions illustrating GIS methods of creating reports and charts output and export in in ArcView 3.2
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The Resource: http://www.csiss.org/cookbook/recipe/7
Description: GIS cookbook: recopies and simple descriptions illustrating GIS methods of geocoding addresses matching data to locations in ArcView 3.2 fictitious epidemiology example
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The Resource: http://www.csiss.org/cookbook/recipe/4
Description: GIS cookbook: recipes and simple descriptions illustrating GIS methods of adding map projection to data in ArcView 3.2. including projection script extension download
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The Resource: http://www.csiss.org/cookbook/recipe/3
Description: GIS cookbook: recipes and simple descriptions illustrating GIS methods of selecting geocoded addresses in ArcView 3.2. area restaurants example
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The Resource: http://www.csiss.org/cookbook/recipes.php
Description: Index to GIS cookbook: a set of recipes and simple descriptions illustrating GIS methods for ArcView 3.2 and ArcGIS 8.1. For social scientists interested in adding spatial thinking to research. covers buffering, classifying and reprojecting data, geocoding data, reports.
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The Resource: http://www.css.cornell.edu/courses/465/css465.html
Description: This course is an introduction to navigation-grade Global Positioning System (GPS) instruments used in agriculture and environmental science. Emphasis is placed on instrument familiarization, field data collection and processing, real-time and post-differential correction, and GPS-GIS integration. The course is designed to be a very practical, hands-on experience with GPS instruments used for field-based survey and mapping of plots, fields, boundary conditions, and other bio-physical features. The Course Objectives are 1) Familiarization of GPS instruments in a field setting; 2) Collection of position data and feature boundary definition; 3) Correction of position data using various methods; 4) Transfer of data from a GPS environment to a GIS environment; 5) Estimation of area and perimeter of delineated feature(s); and 6) Production of maps depicting spatial location and extent of delineated feature(s) Professors Arthur J. Lembo, Jr. and Stephen D. DeGloria, Department of Crop and Soil Sciences, Cornell University
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The Resource: http://www.csiss.org/classics/content/21
Description: classic: Grady Clay biography of theorist and commentator on urban planning and suburban development, settlement patterns including his novel terms and concepts.
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The Resource: Link
Description: This new publication is part of The Handbooks in Economics series, published by Elsevier Science. To be published 2003 The series provides the various branches of economics with handbooks which are definitive reference sources, suitable for use by professional researchers, advanced graduate students, or by those seeking a teaching supplement. The Handbooks form ideal supplementary reading for graduate economics students on advanced courses.\\
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The Resource: http://www.csiss.org/classics/content/17
Description: Classic: Hans Kurath�s survey of development and spatial distribution of American English dialects and vocabulary across regions of the Eastern United States. Survey fieldwork produced maps of linguistic boundaries tied to history of settlement patterns.
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The Resource: http://www.csiss.org/classics/content/25
Description: Classic: Henry Mayhew biography of journalist who participated in ethnographic survey of London�s poverty, with sensational articles also surving as oral history. Focuses on early choropleth crime mapping of England.
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The Resource: http://elsa.berkeley.edu/~quigley/pdf/syllabus.pdf
Description: Syllabus : Reading list and bibliography for course that considers the economics of urban housing and land markets from the viewpoints of investors, developers, public and private managers, and consumers. It considers the interactions between private action and public regulation - including land use policy, taxation, and government subsidy programs. We will also analyze the links between primary and secondary mortgage markets, securitization, and liquidity. Finally, the links between local housing and related markets - such as transportation and public finance - will be explored. The course presupposes a working knowledge of microeconomics and a facility with technical concepts. Reading list bibliography
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The Resource: Link
Description: This course combines a historical review on the use of remote sensing in the social sciences (particularly anthropology), the study of its applications to social science inquires and applied work (e.g., settlement pattern, land use and resource management, population studies, archeological analysis, etc.), and a formal introduction to remote sensing principles, data, and processing techniques based on lectures and hands on laboratory sessions. (dissertation and thesis related projects are especially encouraged).
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The Resource: Link
Description: Lecture outline, Human Environment Interaction -- Current Events and Climate Change. From Introductory Lectures in Spatial Social Science by Stuart Sweeney. Current events and news about global climate changes, greenhouse effect, emissions, human induced change, renewable resources, temperature change, acid rain, ozone depletion.
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The Resource: Link
Description: Lecture outline, Human-Environment Interaction -- Introduction and Definitions. From Introductory Lectures in Spatial Social Science by Stuart Sweeney. Introduction and Definitions for module on Human-Environment Interaction. Migration, disease, population, global warming, environment.
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The Resource: Link
Description: Lecture outline, Human Environment Interactions--The Lithosphere. From Introductory Lectures in Spatial Social Science by Stuart Sweeney. Critical Roles of the Lithosphere, Major human-induced changes, deforestation, degredation, overpopulation, desertification, soil erosion, scale issues.
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The Resource: Link
Description: Lecture outline, Human Environment Interactions--Water and Waste. From Introductory Lectures in Spatial Social Science by Stuart Sweeney. Hydrosphere, hydrologic cycle, human induced change, pollution, sewage, landfills, ocean dumping, toxic waste, hazardous waste, radioactive waste
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The Resource: Link
Description: Lecture outline, Human Settlements -- Central Place Theory. From Introductory Lectures in Spatial Social Science, by Stuart Sweeney. Human settlements and technological change, evolutionary epochs, urban growth models, assumptions for Central Place Theory. Retail and settlement systems, Christaller, urban ecology, concentric zones, sector models, multiple nuclei, urban realms, central business disctrict, urban renewal and gentrification.
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The Resource: Link
Description: Lecture outline, Human Settlements -- Primate Cities and Modern Western Cities. From Introductory Lectures in Spatial Social Science, by Stuart Sweeney. Discussion of primate/dominant cities and modern cities. Folk-preliterate, fuedal, pre-industrial, urban-industrial cities. Rank size rule with examples. Evolution of modern western cities, slums.
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The Resource: Link
Description: Lecture Outline, Human Settlements -- The History of Urbanization. From Introductory Lectures in Spatial Social Science by Stuart Sweeney. Ancient societies, agriculture, development of cities and states, government, location of cities, proximity to resources and trade routes, defense, size of early cities, ancient Greek, Roman, and Etruscan cities. Chinese, Saharan, Mayan, and Aztec cities.
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The Resource: Link
Description: Lecture outline, Human Settlements -- The Modern City. From Introductory Lectures in Spatial Social Science, by Stuart Sweeney. The modern city and postmodern city, transportation, legislation, zoning. Examples: Los Angeles, Santiago. The field of urban geography. Key concepts: agglomeration, specialization, level of urbanization. Urban Heirarchies and Typology. Place and location: Situation, example: Hong Kong and Schenzhen, China. Chicago, New York. Urban sites, vulnerabilities, natural disasters.
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The Resource: Link
Description: Lecture outline, Human Settlements -- Von Thunen and Urbanization in the 1990s. From Introductory Lectures in Spatial Social Science, by Stuart Sweeney. Von Thunen models and urbanization, agricultural land use models, economic models, urban population distribution and world cities, megacities, conurbations.
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The Resource: http://www.csiss.org/classics/content/23
Description: Classic: Ian McHarg: pioneer and household name in environmental movement in 60�s, published Design with Nature on landscape architecture with new methods to evaluate land use and policy using overlay maps, example for Long Island highway planning.
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The Resource: http://www.csiss.org/streaming_video/icpsr.htm
Description: Short video clips of Dr. Anselin\'s lectures in the ICPSR workshop Introduction to Spatial Data Analysis, focusing on Moran\'s I statistic. This is one of many measures of spatial autocorrelation used for spatial analysis in the social sciences. Clips require RealPlayer.
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The Resource: http://www.csiss.org/learning_resources/content/g5/
Description: Introductory Lectures in Spatial Social Science, consisting of 15 lecture outlines with embedded images, animations, demonstrations, models, spreadsheets, web links, and other supplementary material. The materials were prepared in coordination with the Alexandria Digital Earth Prototype Project (http://www.alexandria.ucsb.edu) and CSISS (http://www.csiss.org), through a National Science Foundation Grant. The materials emphasize the roles that spatial analysis and spatial models have in Human Geography.
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The Resource: http://www.csiss.org/classics/content/18
Description: classic: discusses Joel Garreu journalist - Nine Nations of North America arguing U.S. state political boundaries less relevant than regional economic, political, and cultural characteristics, and Edge City discussing growth of suburban economic centers that bypass decaying city cores.
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The Resource: http://www.csiss.org/classics/content/9
Description: classic: von Th�nen developed pre-industrialization model of economic agricultural land use allocation based on transport costs to market, for optimal profit perishables should be closer.
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The Resource: http://www.csiss.org/classics/content/11
Description: classic: John Kirtland Wright geographer, one of first to introduce quantitative geography with statistical techniques, describes Lorenz Curve distribution pattern analysis of social variables.
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The Resource: http://www.csiss.org/classics/content/8
Description: classic: John Snow, doctor who in 1954 mapped deaths by water source during London cholera epidemic to locate contamination source. Early spatial analysis in epidemiology.
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The Resource: http://www.csiss.org/classics/content/62
Description: classic: Kevin Lynch�s innovations for urban planning and spatial cognition reviewed, in which individuals� mental maps determine place legibility
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The Resource: http://www.csiss.org/classics/content/61
Description: classic: describes reassessment of GGM model disputing its finding that social pathology is a function of population density increasing fertility by introducing spatial autocorrelation and distance weighting.
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The Resource: http://www.csiss.org/classics/content/68
Description: classic: describes origin of fuzzy-logic in Greek and 20th century philosophy and mathematics, in which truth values or decision categories fall within range from true to false. Applications to computing and geoscience.
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The Resource: http://www.csiss.org/streaming_video/
Description: Several video clips and slide shows produced from Dr. Sara Fabrikant\'s workshop, Map Making and Visualization of Spatial Data featuring five lecturers. Introduces spatial information design and geographic visualization for the Social Sciences, scientific visualization, graphical design, and thematic mapping. Requires RealPlayer.
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The Resource: http://www.csiss.org/classics/content/12
Description: classic: Mark Jefferson 1928 study of �civilization� diffusion as determined by spread of railroads and the surrounding �buffer zone� or �cultural realm� of economic and cultural development. Relates to GIS, economics and environment use of �buffer zone�
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The Resource: http://www.csiss.org/resources/maslucc/
Description: This site provides a collection of resources for scholars interested in agent-based models of land use (MAS/LUCC) models, agent-based or multi-agent system tools for modeling human land-use decisions and subsequent land-cover change.� The site has been developed as a follow-up to a special workshop on agent-based models of land use in 2001, co-sponsored by CSISS and LUCC Focus 1. We provide links to relevant literature, conferences and workshops, descriptions of ongoing research projects, and software tools both as an introduction to those new to this modeling field and as a shared resource for the community of modelers already involved in MAS/LUCC research.
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The Resource: http://www.csiss.org/resources/maslucc/literature.php
Description: This site provides links to relevant software for a collection of resources for scholars interested in agent-based models of land use (MAS/LUCC) models, agent-based or multi-agent system tools for modeling human land-use decisions and subsequent land-cover change.� Includes links to Multi-Agent modeling software: RePast , CORMAS, Swarm, Ascape and to Unified Modeling Language: UML Resource Center, Poseidon for UML, TogetherSoft, Rational Software. The site has been developed as a follow-up to a special workshop on agent-based models of land use in 2001, co-sponsored by CSISS and LUCC Focus 1.
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The Resource: http://www.csiss.org/classics/content/39
Description: classic Melinda Meade researcher in medical geography influential in defining the field, focuesd on Asia epidemiology, and human geography. Analysis of population movement, environmental quality and cultureal practices to assess health of a regional population.
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The Resource: http://www.geog.ubc.ca/courses/klink/gis.notes/ncgia/toc.html
Description: Online version of the original 1990 NCGIA core curriculum. The NCGIA Core Curriculum in GIS is a comprehensive set of lecture notes intended to identify and describe a core set of knowledge about GIS that should be taught to beginning GIS professionals. The NCGIA Core Curriculum in GIS is a 1000+ page document organized into three volumes -- Introduction to GIS, Technical Issues in GIS and Application Issues in GIS. Each volume includes sufficient material for a one-term length course and contains 25 units of lecture notes with accompanying handouts, overheads, 35mm slides and suggested discussion and examination questions.
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The Resource: http://www.csiss.org/learning_resources/content/papers/index.htm
Description: Index and table of contents page for papers in Spatially Integrated Social Science (SISS) written by CSISS project board members topics include orienting white paper on SISS, Spatial econometrics, regional industry cluster analysis, and geographic information systems (GIS)
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The Resource: http://www.css.cornell.edu/courses/411/css411.html
Description: The course will focus on environmental resource inventory methods using several spatial analysis tools. Inventory methods will include topographic map interpretation, aerial photo interpretation, photo-to-map transfer techniques, analog to digital conversion of inventory data, classification of digital imagery, field acquisition of map coordinate data, map accuracy assessment, and construction of cartographic products from digital databases. The course is designed to be a very practical, hands-on experience with topographic maps, medium-scale color-infrared aerial photographs, coordinate digitizers, multi-spectral satellite images, navigation-grade global positioning system (GPS) instruments, and elementary spatial analysis and map production software. The objectives of this course are to: 1) introduce fundamental tools used for mapping environmental resources; 2) provide experience in mapping land cover conditions using maps, aerial photographs, satellite images, and GPS technology; and 3) practice with spatial analysis methods and digital cartographic techniques. Professors Arthur J. Lembo, Jr. and Stephen D. DeGloria, Department of Crop and Soil Sciences, Cornell University
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The Resource: http://www.csiss.org/classics/content/26
Description: classics: Robert E. Park (1864-1944) and Ernest W. Burgess University of Chicago sociologists developed concentric zone theory to explain and compare urban social problems, with dot and choropleth mapping and thematic mapping.
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The Resource: http://www.csiss.org/classics/content/19
Description: classic: Robert W. Fogel �s economic analysis of history of railroads and their overestimated role for economic growth, and alternative that canals, wagons, and earlier combustible engine development might have been more efficient.
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The Resource: http://www.sph.umich.edu/geomed/grabber/
Description: An Epidemiological Study case study on 1979 water pollution contamination in Woburn Massachusetts. Includes brief history and maps, description of childhood leukemia, and public trial and legal action. Includes discussion of geology and hydrology of region with topographical maps. Extensive references with some web links. Associated with course on Spatial Epidemiology by Dr. Geoffrey M. Jacquez, Dr. Mark L. Wilson and Dr. Andrew E. Long. Also includes classroom discussion questions.
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The Resource: http://geog55.gis.uiuc.edu/sa/index.html
Description: Course home page, table of contents description: spatial analysis is often broadly defined as a �set of methods useful when the data are spatial\\
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The Resource: http://geog55.gis.uiuc.edu/sa/lab10.html
Description: Class lecture notes Luc Anselin Spatial Analysis : class lab instructions and exercise: The purpose of this lab is to learn to apply ESRI\\\'s Geostatistical Analyst Extension for exploratory variography and spatial interpolation by means of kriging. Only a limited subset of the the functionality of the extension will be covered. You are welcome to explore this extension in more detail using the Tutorial in Chapter 2 of ESRI\\\'s Using ArcGIS Geostatistical Analyst manual. More technical information can be found in Chapters 4 and 6 of the manual. (Includes tutorial)
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The Resource: http://geog55.gis.uiuc.edu/sa/lab1.html
Description: Class lecture notes Luc Anselin Spatial Analysis : class lab instructions and exercise: Introduction to ArcMap and ArcCatalog Objectives The purpose of this lab is to become familiar with the menu structure, basic dialogs and basic functionality of the two main user interfaces of ArcGIS, ArcMap and ArcCatalog.
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The Resource: http://geog55.gis.uiuc.edu/sa/lab2.html
Description: Class lecture notes Luc Anselin Spatial Analysis : class lab instructions and exercise: The purpose of this lab is to explore some basic relational database functions in ArcGIS, specifically how to carry out queries, both spatial and non-spatial.
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The Resource: http://geog55.gis.uiuc.edu/sa/lab3.html
Description: Class lecture notes Luc Anselin Spatial Analysis : class lab instructions and exercise: The purpose of this lab is to become familiar with basic spatial data manipulation functions in ArcGIS, such as joins, spatial joins, spatial aggregation (dissolving and merging) and clipping.
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The Resource: http://geog55.gis.uiuc.edu/sa/lab4.html
Description: Class lecture notes Luc Anselin Spatial Analysis : class lab instructions and exercise: The purpose of this lab is to practice some fundamental \
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The Resource: http://geog55.gis.uiuc.edu/sa/lab5.html
Description: Class lecture notes Luc Anselin Spatial Analysis : class lab instructions and exercise: Spatial Interpolation The purpose of this lab is to introduce the Spatial Analyst extension to ArcGIS and its application to spatial interpolation problems. In the process, some handy auxiliary operations will be touched upon as well, such as creating and populating a personal geodatabase (so far we have used shapefiles) and editing features.
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The Resource: http://geog55.gis.uiuc.edu/sa/lab6.html
Description: Class lecture notes Luc Anselin Spatial Analysis : class lab instructions and exercise: Suitability Analysis The purpose of this lab is to illustrate the use of the Spatial Analyst extension to ArcGIS to locate facilities based on suitability analysis. In the process, various functions will be used, such as density mapping, distance calculation and the application of the raster calculator.
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The Resource: http://geog55.gis.uiuc.edu/sa/lab7.html
Description: Class lecture notes Luc Anselin Spatial Analysis : class lab instructions and exercise: 3D Visualization The purpose of this lab is to introduce the 3D Analyst extension to ArcGIS and its application to three dimensional visualizaton of surfaces. Only a fraction of the functionality will be covered.
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The Resource: http://geog55.gis.uiuc.edu/sa/lab8.html
Description: Class lecture notes Luc Anselin Spatial Analysis : class lab instructions and exercise: Dynamically Linked Windows The purpose of this lab is to familiarize you with the use of dynamically linked windows in exploratory spatial data analysis. You will be using an early beta version of DynESDA2, a software tool for ESDA under development as part of the CSISS Software Tools program. A technical description of the architecture and functionality of this tool can be found in Anselin et al. (2001).
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The Resource: http://geog55.gis.uiuc.edu/sa/lab9.html
Description: Class lecture notes Luc Anselin Spatial Analysis : class lab instructions and excersize: The purpose of this lab is to use the DynESDA tool to test for and visualize global and local spatial autocorrelation. Refer to the general description of the tool in Lab 8 for information on the menus and general functionality.
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The Resource: http://geog55.gis.uiuc.edu/sa/geo_1.html
Description: Class lecture notes Luc Anselin Spatial Analysis : powerpoint slide outlines and reading list. description: important concepts: Geostatistical Perspective * continuous spatial index, spatial random field, equilibrium, ergodicity, spatial stationarity. Variogram * intrinsic hypothesis, semi-variogram, variogram cloud plot, variogram box plot. Estimating a Variogram * classic approach, method of moments estimator, robust methods. Correlogram * covariogram and correlogram.
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The Resource: http://geog55.gis.uiuc.edu/sa/geo_2.html
Description: Class lecture notes Luc Anselin Spatial Analysis : powerpoint slide outlines and reading list. description: important concepts: Modeling Variograms * range and sill, nugget effect, valid variogram models, examples of variogram models (linear, spherical, exponential); fitting a variogram model. Principles of Kriging * spatial prediction, kriging as a linear interpolator, kriging models, simple kriging, ordinary kriging, universal kriging; kriging weights, kriging predictor. Spatial Interpolation by Kriging - An Example
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The Resource: http://geog55.gis.uiuc.edu/sa/gis_spatialanalysis.html
Description: Class lecture notes Luc Anselin Spatial Analysis : powerpoint slide outlines and reading list. description: important concepts: GIS definitions of GIS; nature of spatial data; main functions of a GIS. Spatial Analysis * definitions of spatial analysis, categories of spatial analysis * selection, manipulation, exploratory analysis, confirmatory analysis * traditional spatial analysis functions: cartographic functions, database and measurement, computational geography * examples: address matching, spatial interpolation Spatial Data Analysis * spatial data analysis: definitions, GIS module and analysis module * examples: visualization and ESDA, spatial autocorrelation, geostatistics.
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The Resource: http://geog55.gis.uiuc.edu/sa/spatial_data_models.html
Description: Class lecture notes Luc Anselin Spatial Analysis : powerpoint slide outlines and reading list. description: important concepts: Discretization definition; stages in modeling; geometric domains, closure; examples of discretization (line simplification). GIS Data Models definition, data modeling; spatial fields, spatial objects; evolution of GIS data models (CAD or image based, georelational, object data model). Topology map features and topology; polygon-line topology, left-right topology. Object Orientation objects; encapsulation, inheritance, polymorphism; class, class hierarchies, UML.
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The Resource: http://geog55.gis.uiuc.edu/sa/spatial_databases.html
Description: Class lecture notes Luc Anselin Spatial Analysis : powerpoint slide outlines and reading list. description: important concepts: Data Base Modeling the database approach; DBMS and transaction management; spatial extensions of DBMS; data base modeling flow. Relational Data Base Model principles of the relational model; tables; geodatabase; attribute domains; operations on tables; relations. Query Language SQL, spatial extension to SQL. Spatial Database Structures file access; indexes; spatial indexes; quadtrees, R-trees.
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The Resource: http://geog55.gis.uiuc.edu/sa/spatial_algorithms.html
Description: Class lecture notes Luc Anselin Spatial Analysis : powerpoint slide outlines and reading list. description: important concepts: Computational Complexity algorithms, computational geometry, computational complexity. Metric Algorithms Euclidean plane; examples of metric algorithms: distance between points, distance between a point and an object, centroid, area. Topological Algorithms topology, side, point in polygon, point on segment.
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The Resource: http://geog55.gis.uiuc.edu/sa/interpolation.html
Description: Class lecture notes Luc Anselin Spatial Analysis : powerpoint slide outlines and reading list. description: important concepts: Terminology motivation for spatial interpolation; interpolation and extrapolation; types of interpolation (by spatial object, by data structure, by variable type); interpolation methods (by scope, by fit, by model). Point to Point Interpolation problem; inverse distance weighting, tessellations, trend surface models. Point to Area Interpolation problem; kernel smoothing. Areal Interpolation problem, terminology; areal weighting; auxiliary functions.
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The Resource: http://geog55.gis.uiuc.edu/sa/esda.html
Description: Class lecture notes Luc Anselin Spatial Analysis : powerpoint slide outlines and reading list. description: important concepts: Geovisualization maps, choropleth maps, cartograms, isopleth maps. Exploratory Spatial Data Analysis EDA and ESDA, visualizing spatial distributions, box map, dynamic graphics. Tools: ESDA with DynESDA2 design of DynESDA2, examples.
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The Resource: http://geog55.gis.uiuc.edu/sa/spatialauto_1.html
Description: Class lecture notes Luc Anselin Spatial Analysis : powerpoint slide outlines and reading list. description: important concepts: covariance, correlation, autocorrelation, spatial autocorrelation terms, spatial autocorrelation by data type. Basic Concepts spatial randomness, spatial autocorrelation, testing for spatial autocorrelation, spatial autocorrelation statistics. Spatial Weights why spatial weights, spatial weights matrix, defining neighbors, contiguity, row-standardized weights.
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The Resource: http://geog55.gis.uiuc.edu/sa/spatialauto_2.html
Description: Class lecture notes Luc Anselin Spatial Analysis : powerpoint slide outlines and reading list. description: important concepts: spatial autocorrelation Spatial Lag Operator spatial shift, spatial lag operator, interpretation of spatial lag. General Cross-Product (Gamma) Statistic general cross-product statistic, gamma index of spatial autocorrelation, randomization, join count statistics. Spatial Autocorrelation Statistics Moran\\\'s I, Geary\\\'s c.
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The Resource: http://geog55.gis.uiuc.edu/sa/spatialauto_3.html
Description: Class lecture notes Luc Anselin Spatial Analysis : powerpoint slide outlines and reading list. description: important concepts: spatial autocorrelation Visualizing Spatial Autocorrelation spatial lag charts, spatial correlogram, Moran scatterplot. Local Indicators of Spatial Association (LISA) LISA definition, use of LISA, distance statistics (g), local moran, LISA maps.
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The Resource: http://geog55.gis.uiuc.edu/sa/index.html
Description: Course syllabus and reading list. description: spatial analysis is often broadly defined as a �set of methods useful when the data are spatial\\
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The Resource: Link
Description: Over the course of the semester, we will examine the characteristics of spatially referenced data (i.e., quantitative observations associated with fixed points or areas on a map) and will focus on methods of exploring and modeling such data. We will examine such issues as: the place of spatial data analysis as part of general multivariate data analysis (which requires remaining vigilant to the special difficulties that spatial data may create); the tools available for exploratory analyses of spatially referenced data; the variety of models for representing spatial variation; and learning to strike a balance between theoretical approaches to spatial data and permitting the data \\\'to speak for themselves\\\' Course topics, each with a reading list, include: Computers and Spatial Data Analysis. Analysis of Point Patterns. Analysis of Spatially Continuous Data. Analysis of area data. Methods for spatial interaction data.
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The Resource: Link
Description: Site selection - Location analysis and location/allocation - Other forms of operations research in spatial analysis - Spatial decision support systems - Linking spatial analysis with GIS to support spatial decision making.
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The Resource: Link
Description: Lecture outline, Spatial Demography -- Disease Control Strategies. From Introductory Lectures in Spatial Social Science by Stuart Sweeney. This lecture outline covers disease intervention policies, control strategies, surveillance, and future issues.
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The Resource: Link
Description: Lecture outline, Spatial Demography -- Disease Types and Models. From Introductory Lectures in Spatial Social Science by Stuart Sweeney. This lecture outline covers disease categories and spatial incidence of disease, current and historical mortality rates and causes of mortality, epidemics and pandemics, disease clusters, and the modeling of infection disease diffusion.
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The Resource: Link
Description: Lecture outline, Spatial Demography -- Global & National Patterns. From Introductory Lectures in Spatial Social Science by Stuart Sweeney. This lecture outline covers regional variation in birth and death rates, national and international comparisons of population patterns, and world population concentrations.
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The Resource: Link
Description: Lecture Outline, Spatial Demography -- Migration. From Introductory Lectures in Spatial Social Science by Stuart Sweeney. This lecture outline covers migration definitions and typology; factors influencing migration decisions; and migration models, equations, and laws.
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The Resource: Link
Description: Lecture Outline, Spatial Demography -- Population Patterns, Basic Principles. From Introductory Lectures in Spatial Social Science by Stuart Sweeney. This lecture outline covers definitions of demography, population geography, and epidemiology; demographic calculations, rates, and measures; and migration.
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The Resource: Link
Description: Lecture outline, Spatial Demography -- Population Problems and Prospects. From Introductory Lectures in Spatial Social Science by Stuart Sweeney. This lecture outline covers population growth, status and health of women, population growth statistics, historical reasons for population growth, checks on population growth, demographic transition theory, Thomas Malthus, and future prospects.
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The Resource: Link
Description: 2001 ESRI Users Conference Seminar presentation. Spatial dependence - Looking at causes and effects in geographical context. Spatial autocorrelation, independence assumptions for modeling spatial data, applying models that incorporate spatial dependence -- tools and applications.
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The Resource: Link
Description: working paper on the use of spatial interactions and spatial structure in regression analysis. Spatial econometrics is a subfield of econometrics that deals with the treatment of spatial interaction (spatial autocorrelation) and spatial structure (spatial heterogeneity) in regression models for cross-sectional and panel data. Topics include spatial regression models, estimation, and specific tests.
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The Resource: http://geog55.gis.uiuc.edu/ace492se/iv1.html
Description: Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics lecture notes 8 IV-GMM Estimation Basic Principles: Instrumental Variables Estimation orthogonality conditions, simultaneous equation bias; instrumental variables; IV estimation, asymptotic variance of IV estimator; Two stage least squares (2SLS), properties of 2SLS. Basic Principles: Method of Moments method of moments, estimation principle; moments equations, empirical moments, moment estimators; conditional moments, IV as a moments estimator. Basic Principles: Generalized Method of Moments (GMM) overidentified systems, criterion function; weighting matrix, efficient GMM; GMM of econometric models, estimating equations, weighting matrix, estimators of asymptotic variance
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The Resource: http://geog55.gis.uiuc.edu/ace492se/iv2.html
Description: Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics lecture notes 8 IV-GMM Estimation Spatial Two Stage Least Squares endogeneity in spatial lag, choice of instruments; S2SLS model assumptions, asymptotics, estimator, asymptotic variance. GM Estimation of Spatial Error Model (Kelejian-Prucha) moment conditions, empirical moments, estimating equations, feasible GLS; model features, assumptions, CLT for triangular arrays. GMM Estimation of Spatial Error Model (Conley) GMM approach, geography in Conley model; GMM estimator, asymptotic variance estimation. Estimation of Higher Order Models S2SLS with heteroskedasticity, S2SLS with spatial error components; Generalized spatial 2SLS.
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The Resource: http://geog55.gis.uiuc.edu/ace492se/ml1.html
Description: Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics lecture notes 6 Maximum Likelihood Estimation 1 estimation issues in lag vs error model; coding methods, pseudo likelihood; spatial process models; regularity conditions. Asymptotics in Space asymptotics, laws of large numbers, central limit theorems; asymptotics for spatial dependence, types of asymptotics, triangular arrays. Maximum Likelihood Estimation likelihood principle, likelihood equation; classic properties of MLE (consistency, asymptotic normality, asymptotic efficiency, invariance); MLE for dependent data, MLE for multivariate normal random variables.
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The Resource: http://geog55.gis.uiuc.edu/ace492se/ml2.html
Description: Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics lecture notes 7 Maximum Likelihood Estimation 2 ML Estimation Spatial Lag Jacobian; log likelihood, Ord simplification; first order conditions, concentrated log-likelihood (profile likelihood); information matrix and asymptotic variance; measures of fit (log likelihood, AIC). ML Estimation Spatial Error Model full ML estimation, Feasible GLS; error covariance structures; GLS approach, no consistent two-step approach; ML approach, likelihood, concentrated likelihood, first order conditions; information matrix and asymptotic variance. ML Estimation of Models that Combine Dependence and Heterogeneity spatial lag with heteroskedasticity; spatial error with heteroskedasticity; ML estimation, log-likelihood general model.
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The Resource: http://geog55.gis.uiuc.edu/ace492se/modspec3.html
Description: Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics lecture notes 2 Model Specification 2 � Models for Spatial Dependence Spatial Lag Models mixed regressive spatial autoregressive model, spatial multiplier, higher order models. Spatial Error Models AR and MA spatial errors, error dependence and heteroskedasticity, spatial common factor hypothesis, other spatial error models. Direct Representation *distance functions for error covariance, Dubin model, non-parametric specifications. Spatial Externalities structural form and reduced form, global and local spillovers, externalities in errors, externalities in X, externalities in X and errors.
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The Resource: http://geog55.gis.uiuc.edu/ace492se/spectest1.html
Description: Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics lecture notes 3 Specification Testing� * null and alternative hypothesis, constrained and unconstrained model, spatial correlation tests, tests based on maximum likelihood estimation. General Spatial Autocorrelation Tests Moran\\\'s I test, Kelejian-Robinson test. Tests Against Spatial Error Processes likelihood based tests, Lagrange Multiplier test against spatial errors, Wald test, Likelihood Ratio test, Double Length Regression test, LM test with endogeneity.
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The Resource: http://geog55.gis.uiuc.edu/ace492se/spectest2.html
Description: Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics lecture notes 4 Specification Testing� Tests Against Other Spatial Errors spatial error components, problems with regularity conditions, LM/RS test, GMM-based test; direct representation, RS test against direct representation, Davies approximation. Tests Against Spatial Lag LM test against spatial lag, Wald test, Likelihood Ratio test, Double Length Regression test.
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The Resource: http://geog55.gis.uiuc.edu/ace492se/spectest3.html
Description: Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics lecture notes 5 Specification Testing� Testing Against Higher Order Models higher order alternatives, LM test against SARMA/SARSAR, LM test against error in lag model, LM test against lag in error model, LM test against SARMA(p,q) alternatives, LM test in lag model with endogeneity, test for spatial dependence with heteroskedasticity. Specification Robust Tests local misspecification, principle, LM error test robust to lag, LM lag test robust to error, interpretation. Small Sample Properties illustrative case studies. Specification Search forward and backward specification searches, search strategy.
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The Resource: http://geog55.gis.uiuc.edu/ace492se/index.html
Description: Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics is the collection of econometric methods specifically geared at dealing with problems of spatial dependence and spatial heterogeneity encountered in cross-sectional (and panel) data sets. The use of spatial econometric techniques is increasingly common in empirical work in economics, not only in regional and urban economics (including real estate analysis), but also in resource and environmental economics, public economics, and international economics, among others. The main objective of the course is to expose you to state of the art methods of applied econometrics so that you can effectively incorporate them into your empirical research. While the focus will be on spatial aspects, the types of methods covered have general validity in econometric practice. The course will include topics such as the specification of dependent stochastic processes, maximum likelihood estimation of dependent processes, instrumental variables and general method of moments estimation, specification tests, and asymptotic and finite sample properties. Considerable attention will be paid to the application of the spatial econometric techniques in empirical practice, using the SpaceStat software package and computing in the xlispstat statistical toolbox.
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The Resource: http://geog55.gis.uiuc.edu/ace492se/modspec1.html
Description: Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics lecture notes 2 Model Specification 1 � Spatial Heterogeneity: IImportant Concepts Issues nature of spatial heterogeneity, spatial structure, modifiable areal unit problem. Discrete Spatial Heterogeneity discrete variation, dummy variable regression, regional homogeneity. Continuous Spatial Heterogeneity random coefficient models, trend surface regression, spatial expansion, hierarchical models, geographically weighted regression.
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The Resource: http://geog55.gis.uiuc.edu/ace492se/modspec2.html
Description: Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics lecture notes 2 Model Specification 2 � Spatial Process Models Specifying Spatial Covariance *direct representation vs spatial process, covariance and correlation structure of AR(1) process in time and in space. Spatial Stochastic Process *Markov property in time and in space, spatial Markov field, Hammersley-Clifford theorem, refresher on multivariate density. SAR, CAR and SMA Models * spatial autoregressive model (SAR), conditional autoregressive mode (CAR), SAR vs CAR, spatial moving average, covariance and correlation structures.
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The Resource: http://geog55.gis.uiuc.edu/ace492se/autocorrelation.html
Description: Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics lecture notes 1 spatial autocorrelation: Important Concepts covariance, correlation, autocorrelation, spatial dependence and spatial autocorrelation; spatial autocorrelation by data type Basic Concepts: spatial randomness, null and alternative hypothesis; testing for spatial autocorrelation Spatial Autocorrelation Statistics: principle, join count statistics, Moran\\\\\\\'s I (test statistic, moments, inference, interpretation), Geary\\\\\\\'s c (statistic, moments, inference, interpretation) Example: crime mapping
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The Resource: http://geog55.gis.uiuc.edu/ace492se/weights.html
Description: Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics lecture notes 2 Spatial Weights: Important Concepts Connectivity in Space Structuring spatial autocorrelation, spatial arrangement (neighborhood and pairs view), contiguity weights, spatial interaction, economic weights. Spatial Weights Binary contiguity weights, general spatial weights, row-standardization, characteristics of spatial weights, higher order contiguity, constructing weights in practice. Spatial Lag Operator spatial shift, neighbor average, four types of spatial association (high-high, low-low, high-low, low-high)
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The Resource: Link
Description: Lecture outline, Spatial Economics -- Industrial Location. From Introductory Lectures in Spatial Social Science, by Stuart Sweeney. Discussion of industrial location, resources, theories of location, revenue and cost surfaces, income, unemployment, and migration factors.
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The Resource: Link
Description: Lecture outline, Spatial Economics -- Measures of Development. From Introductory Lectures in Spatial Social Science by Stuart Sweeney. Discussion of economic development, GDP, quality of life, per capita income, infrastructure, development, core/periphery models of development, cities and hinterlands, growth poles.
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The Resource: Link
Description: Lecture outline, Spatial Economics -- Growth Poles and Theories of Growth. From Introductory Lectures in Spatial Social Science, by Stuart Sweeney. Discussion of growth poles, spread and backwash effects, circular and cumulative causation. Growth theories: Rostows stages of Growth and Demographic Transition Model applied to economics. Entrepreneurship and Schumpeter, waves of development. New growth / old growth theory. Policy issues.
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The Resource: http://www.sph.umich.edu/geomed/course/htmls/brief.html
Description: Syllabus and entrance to course html reading modules.This is a graduate level course in the conceptual and analytic tools used to understand how spatial distributions of exposure impact on processes and patterns of disease, introducing students to the special design, measurement, and analysis issues associated with spatial patterns of diseases. We will address contemporary diseases of public health importance and present the statistical and inferential skills that can be used in understanding how spatial patterns arise and what they imply for intervention. [The course objectives are to] provide students with the knowledge, theory, and methodological skills for analyzing and interpreting the spatial patterns of various diseases in order to elucidate underlying exposure processes giving rise to the observed patterns. [The target audience includes] Ph.D. and second-year Masters students in epidemiology, environmental health, ecology and various aspects of community health. Course Description: The course will begin with a description of spatial components of human health data, and the characteristics and covariates of such data. The objectives of spatial analysis are then presented, with an emphasis on (1) quantification of spatial pattern, and (2) mechanisms for inferring past space-time processes from spatial pattern. The CDC guidelines for investigating health event clusters will be reviewed. Spatial statistical methods for quantifying spatial pattern will then be presented, including spatial autocorrelation statistics (both local and general), disease cluster tests (both focused and general) and methods for disease surveillance through both space and time. The framework for using these techniques will be Exploratory Spatial Data Analysis (ESDA), whose objective is the quantification of spatial pattern in order to generate testable hypotheses. Laboratory exercises will use appropriate software (e.g. ArcView, Stat!, GeoMed, Gamma) to analyze example data sets, which will include concrete examples of infectious, toxic-exposure, and other non-infectious diseases. Students will be expected to complete a research project using their own or supplied data, and to produce a manuscript-style report as well as a web-ready presentation (e.g. powerpoint presentation) which will be given in class.
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The Resource: http://www.sph.umich.edu/geomed/course/
Description: Course schedule and portal to html reading modules.This is a graduate level course in the conceptual and analytic tools used to understand how spatial distributions of exposure impact on processes and patterns of disease, introducing students to the special design, measurement, and analysis issues associated with spatial patterns of diseases. We will address contemporary diseases of public health importance and present the statistical and inferential skills that can be used in understanding how spatial patterns arise and what they imply for intervention. [The course objectives are to] provide students with the knowledge, theory, and methodological skills for analyzing and interpreting the spatial patterns of various diseases in order to elucidate underlying exposure processes giving rise to the observed patterns. [The target audience includes] Ph.D. and second-year Masters students in epidemiology, environmental health, ecology and various aspects of community health. Course Description: The course will begin with a description of spatial components of human health data, and the characteristics and covariates of such data. The objectives of spatial analysis are then presented, with an emphasis on (1) quantification of spatial pattern, and (2) mechanisms for inferring past space-time processes from spatial pattern. The CDC guidelines for investigating health event clusters will be reviewed. Spatial statistical methods for quantifying spatial pattern will then be presented, including spatial autocorrelation statistics (both local and general), disease cluster tests (both focused and general) and methods for disease surveillance through both space and time. The framework for using these techniques will be Exploratory Spatial Data Analysis (ESDA), whose objective is the quantification of spatial pattern in order to generate testable hypotheses. Laboratory exercises will use appropriate software (e.g. ArcView, Stat!, GeoMed, Gamma) to analyze example data sets, which will include concrete examples of infectious, toxic-exposure, and other non-infectious diseases. Students will be expected to complete a research project using their own or supplied data, and to produce a manuscript-style report as well as a web-ready presentation (e.g. powerpoint presentation) which will be given in class.
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The Resource: Link
Description: Spatial Interaction Models - What they are and where theyre used. Calibration and what if - Trade area analysis and market penetration
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The Resource: http://www.css.cornell.edu/courses/620/css620.html
Description: This course is intended for undergraduate and graduate students who have the desire to advance their understanding and research of geographic information science and technology. Emphasis is placed on the development, integration, and visualization of spatial data for characterizing environmental systems. Application and evaluation of spatial analytical methods to environmental systems and databases of interest to the student are emphasized. The objectives of this course are: (1) explore advanced topics in modeling and visualizing spatial data and information; (2) enhance student skills in processing, analyzing, and visualizing spatial data using commercially-available GIS software; (3) provide opportunities to analyze and evaluate advanced spatial analytical techniques and global positioning systems using data relevant to the student\\\'s field of study; (4) provide the student with experience giving public presentations of research results. Professors Arthur J. Lembo, Jr. and Stephen D. DeGloria, Department of Crop and Soil Sciences, Cornell University Course topics with attached powerpoint slides: Summary of Spatial Analysis Functions Model Use and Development Process for Creating Spatial Models Creating Model Parameters: Examples of Regression Analysis for Spatial Regression and GIS: Simple linear regression, multiple regression, examples Regression Continued: Logistic regression, examples Spatial Distributions: centrographic statistics, directional mean and variance, quadrat analysis, nearest neighbor Spatial Autocorrelation: Moran�s I, Geary�s C, Ripley�s K. Spatial Autocorrelation: Join Count Analysis, Examples Distance Analysis: Nearest neighbor, K-Order nearest neighbor, linear nearest neighbor, Ripley�s K Spatial Correlation: Point pattern analysis, coefficient of areal correspondence, chi-square Cluster Analysis: Types, optimization criteria Linear Modeling: dynamic segmentation, shortest path GeoStatistics: Kriging Spatial Regression Concepts Linking Models and GIS Creating Posters to Present Analysis Ethics in Spatial Analysis
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The Resource: Link
Description: Spatial statistics - Simple measures for exploring geographic information - The value of spatial perspectives on data - Intuition and where it fails - Applications in crime analysis, emergencies, incidence of disease.
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The Resource: http://www.csiss.org/clearinghouse/
Description: CSISS Tools Clearinghouse Portal Links: A list of portals, i.e., collections of URL links, found useful to researchers of spatial phenomena in the social sciences. All portals listed here have been comprehensively indexed and are searchable at the CSISS Spatial Tools Search Engine. Currently included are Spatial Analysis Tools, including GIS software, Math and Statistics archives with spatial content , including spatial statitics and Markov analysis, and collections of GIS utilities, including map projection.
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The Resource: Link
Description: Table of contents to Revision of the 1990 NCGIA Core Curriculum in GIS to take advantage of distribution over the internet and to incorporate advances in the field of geographic information science over the last 8 years. The NCGIA Core Curriculum in GIS is a comprehensive set of lecture notes intended to identify and describe a core set of knowledge about GIS that should be taught to beginning GIS professionals. The NCGIA Core Curriculum in GIS is a comprehensive set of lecture notes intended to identify and describe a core set of knowledge about GIS that should be taught to beginning GIS professionals. Revision of the 1990 NCGIA Core Curriculum in GIS to take advantage of distribution over the internet and to incorporate advances in the field of geographic information science over the last 8 years.
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The Resource: Link
Description: This course looks at the relationship between human communities, their land, and its resources; it focuses on the interactions between land use systems, human settlement pattern and their impact on the land cover and landscape. The influence of socio-economic, demographic, and institutional \
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The Resource: http://www.ncgia.ucsb.edu/education/curricula/cctp/Welcome.html
Description: The NCGIA Core Curriculum for Technical Programs concentrates on providing course content assistance for instructors. The CCTP is intended to support a full range of courses that would be taught at a 2-yr. college. The materials are textbook and course independent, providing a generic task-oriented approach. While the NCGIA core curriculum in GIS (GISCC) focuses on Geographic Information Science, the CCTP focuses on information that instructors need to present to students so they can perform the technical activities associated with geographic information systems.
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The Resource: http://www.ncgia.ucsb.edu/pubs/core.html
Description: The NCGIA Core Curriculum in GIS is a comprehensive set of lecture notes intended to identify and describe a core set of knowledge about GIS that should be taught to beginning GIS professionals. The NCGIA Core Curriculum in GIS is a 1000+ page document organized into three volumes -- Introduction to GIS, Technical Issues in GIS and Application Issues in GIS. Each volume includes sufficient material for a one-term length course and contains 25 units of lecture notes with accompanying handouts, overheads, 35mm slides and suggested discussion and examination questions.
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The Resource: http://www.ncgia.ucsb.edu:80/education/curricula/giscc/
Description: Revision of the 1990 NCGIA Core Curriculum in GIS to take advantage of distribution over the internet and to incorporate advances in the field of geographic information science over the last 8 years. The NCGIA Core Curriculum in GIS is a comprehensive set of lecture notes intended to identify and describe a core set of knowledge about GIS that should be taught to beginning GIS professionals. The NCGIA Core Curriculum in GIS is a comprehensive set of lecture notes intended to identify and describe a core set of knowledge about GIS that should be taught to beginning GIS professionals. Revision of the 1990 NCGIA Core Curriculum in GIS to take advantage of distribution over the internet and to incorporate advances in the field of geographic information science over the last 8 years.
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The Resource: Link
Description: Lecture, The Origins of Spatial Thought. Early mathematical and philosophical basis, exploration, Longitude Act of 1714. Cartography, exploration, environmental determinism vs. possibilism, roots of regional geography. Modern history of geography -- Richard Hartshorne, systematics and scientific method, iowa, wisconsin, washington, quantitative revolution, Walter Isard and regional science, pennsylvania, Simonett Cube.
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The Resource: http://www.csiss.org/classics/content/29
Description: classic: Torsten H�gerstrand: introduced time geography and spatial-temporal models of human activity, with individual humans as units of study, and three-dimensional space-time path to chart travel and constraints, e.g. �prism� or extent of reachable points in a given time and speed.
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The Resource: Link
Description: Article outlines motivation for CSISS as a spatial approach as a novel focus for cross-disciplinary interaction and research in the social and behavioral sciences. Review of recent literature integrating space and place, and outlines program to promote spatial perspective.
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The Resource: http://www.econ.brown.edu/faculty/henderson/courses/ec241.pdf
Description: This reading list is designed for graduate students. The emphasis of this course is spatial organization of economic activity and urban issues. It covers: models of location and pricing in a spatial context the internal structure of cities, systems of cities and city size, urban development and economic growth, housing economics and land markets transportation economics J. Vernon Henderson, Eastman Professor of Political Economy, Professor of Economics and Urban Studies, Brown University
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The Resource: http://www.csiss.org/classics/content/
Description: classic: Valdimir Orlando Key�s introduction of mapping and analysis of spatial patterns of behavior in voting patterns, applied to Democrat block in U.S. Southern politics. Influenced civil rights reform. Showed white supremacy confined primarily to black areas dominated by interests of large farms.
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The Resource: http://www.csiss.org/classics/content/16
Description: classic: Vernor C. Finch geographer introduced dot mapping and fractional code for data analysis of small areas representing and mapping several geographical features of land use and type in a code.
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The Resource: http://csiss.ncgia.ucsb.edu/classics/content/67
Description: classic: describes Walter Christaller�s development of Central Place Theory to model the size and distribution of urban locations, in terms of hierarchical development of settlements around a central nucleus including industrial location, marketing, transportation, and services.
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The Resource: Link
Description: What is spatial analysis? Definition of spatial analysis, major types and areas for application. How should an analyst view a spatial database? Field and discrete objects, attributes, relationships. How to organize the functions of a GIS into a coherent scheme. Levels of integration of GIS and spatial analysis- loose and tight coupling, and full integration. Scripts and macros, lineage and analytical toolboxes. The uncertainly problem - why is it such an issue in spatial analysis? What can we do now about data quality?
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The Resource: http://www.csiss.org/classics/content/37
Description: classic: Zvi Griliches focuses on the economists dissertation research on technology diffusion of hybrid corn, giving an economic perspective to cechnology adoption as development and as exogenous factor in larger economic change
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