Spatial Analysis in the Social Science Curriculum: Enhancing Undergraduate Learning

July 15-20, 2007: Santa Barbara, CA

Participants should arrive in Santa Barbara on Saturday, July 14th. The first class is in Ellison Hall, Room 2620 at 9:15am on Sunday, July 15th. [Campus Map][Graphic Agenda]

All background readings will be displayed in a seperate browser window

Meals
	Breakfast (July 15-21) - Carrillo Dining Commons Sunday 8:00-9:00am Monday 7:00-8:15am Tuesday 7:15-8:30am Wednesday 8:00-9:00am Thursday 8:00-9:00am Friday 7:15-8:30am Saturday 8:00-9:00am
11:30-1:30pm	Lunch (July 14-20) - De La Guerra Dining Commons (DLG) (except Saturday, July 14 @ DLG, 11:30-12:30pm)
5:30-6:30pm	Dinner (July 14-20) - Carrillo Dining Commons (except Monday and Thursday, 5:00-6:00pm)

Sunday, July 15: Introduction, Motivation, and Project Planning
9:15	Welcome and Introductions	Don Janelle
10:15	Integrating Spatial Perspectives into Undergraduate Social Science Education	Stuart Sweeney
11:15	Break
11:30	Project Planning and Student Assessment *Background Reading* (password protected): Analyzing Heritage Landscapes with Historical GIS: contributions from problem-based inquiry and constructivist pedagogy (1.75MB) SPACE Curriculum Design project (99kb)	Fiona Goodchild Stacy Rebich Hespanha Stuart Sweeney
12:15	Lunch with Instructors
1:30	The Challenge of Spatial Social Science *Background Reading* (password protected): The Challenge of Spatial Social Science (9.5MB) Institutional Opportunities and Constraints (4.6MB) GIS methods in social science research and education. Thinking spatially in the social sciences. Discussion	Mike Goodchild
3:15	Break
3:30	Introducing GIS and Peer Interaction *Background Reading* (password protected): Data Classification (2.1MB) Exercises: Introduction to ArcGIS	Kirk Goldsberry Jeff Howarth
5:30	Workshop Dinner with Instructors (Carrillo Dining Hall)
6:30	Reception and Poster Session * (West Campus Commons)

Monday, July 16: Spatial Social Science and GIScience
9:15	Geographic Information Systems/Science: Basic Concepts of GIS (3.4MB) Nature of spatial processes and their representation in GIS *Background Reading* (password protected): Representing geography (12.7MB) The nature of geographic data (19.3MB) Georeferencing (11MB) Uncertainty (8.9MB) Query, measurement, and transformation (14MB) Descriptive summary, design, and inference (14MB) Spatial modeling with GIS (8MB)	Mike Goodchild
10:30	Break
10:45	Learning and Assessing Spatial Thinking (5. 7MB) *Background Reading* (password protected): Problem-Solving in a Case-Based Course: Strategies for Facilitating Coached Expertise (1.9MB) Problem-Based Learning in Geography: Towards a Critical Assessment of its Purposes, Benefits, and Risks (1MB) Activities to Develop a Spatial Perspective among Students in Introductory Geography Courses (866kb) Integrating GIS into the Undergraduate Learning Environment (922kb) Spatial Thinking and Problem-based Learning (745kb) Behaviorism, Cognitivism, Constructivism: Comparing Critical Features from an Instructional Design Perspective (392kb)	Fiona Goodchild Stacy Rebich Hespanha
12:15	Lunch
After Lunch	Computer Lab (laptop software checks, data checks, lab logistics)
1:15	Structured Lab:ArcGIS I: Data Structures / Data Sources / Mapmaking	Kirk Goldsberry Jeff Howarth
3:45	Break
4:00	Parallel Electives * Open Computer Lab	Staffed by: Kirk Goldsberry Jeff Howarth
	Choropleth Maps with ArcGIS
8:00pm	Open Discussion - location to be determined

Tuesday, July 17: Spatial Analytic Methods in Social Science Instruction
6:00am	Hike with Mike - Foothills of Santa Ynez Mountains
9:15	Spatial Analytic Methods (exploratory / descriptive / inferential) Point data: SS methods / applications Area data: SS methods / applications Interaction data: SS methods / applications *Background Reading* (password protected): GeoDa: An Introduction to Spatial Data Analysis (524kb) Under the Hood. Issues in the Specification and Interpretation of Spatial Regression Models (172kb) *Materials* (password protected): Animations (5.2MB)	Stuart Sweeney
10:30	Break
10:45	Spatial Analytic Methods (exploratory / descriptive / inferential) Spatial analytic methods in social science research and education. Added-value from spatial analytic methods Spatial autocorrelation and relation to social science theories Classroom demos versus student assignments / labs Discussion	Stuart Sweeney
12:00	Lunch with Instructors
1:15	Structured Lab: GeoDa: Exploratory Spatial Data Analysis Reading ESRI Shape files and variable construction EDA and ESDA utility and interpretation Inferential pattern analysis / spatial autocorrelation.	Stuart Sweeney Kathryn Grace David Folch
3:45	Break
4:00	Parallel Electives * Open Computer Lab	staffed by: Kirk Goldsberry Jeff Howarth
	R Language and STARS (space-time analysis of regional systems) *Background Reading* (password protected): Spatial Dependence in Linear Regression Models (2.1MB) Spatial econometric theory; Spatial error and spatial lag models Specification tests and model interpretation GeoDa application: Hedonic real estate model	Stuart Sweeney Kathryn Grace David Folch
5:00	Workshop Debriefing

Wednesday, July 18: Cartography / Visualization in Social Science Instruction
6:00am	Surf with Stuart
9:15	Cartographic Visualization in Social Science Instruction Symbolizing point, line, and area features (13MB) *Background Reading* (password protected): Sample evaluation criteria for maps (20kb) The Selection of Class Intervals (1.5MB) On Grouping for Maximum Homogeneity (593kb) Map Making for Social Scientists (9.1MB) Choropleth Maps with Class Intervals (241kb)	Kirk Goldsberry
10:45	Break
11:00	Structured Lab: ArcGIS II: Topics in Cartographic Communication Classification *Data Sources: US Census FactFinder (census data) ESRI Census Watch (census data portal and information) ESRI Geography Network (tiger line data and tons of other spatial data) Exercise Material: Example table Selecting good color schemes for maps cart/viz links by Slocum et al. (2004) Mapping Exercises* (password protected): Downloading map data, processing and classifying (68kb) Choropleth mapping with GIS (207kb)	Kirk Goldsberry Jeff Howarth
12:30	Lunch
Afternoon	Free Time in Santa Barbara (options depending on interest; consult with Stacy Rebich Hespanha)
	Open Computer Lab	Limited Staff Support
	Consultation with Faculty	To be arranged
8:00pm	Open Discussion - Location to be determined

Thursday, July 19: Spatial Interaction, Pedagogy, and Project Development
9:15	Issues in Teaching and Learning Chair: Fiona Goodchild Panel: Stuart Sweeney, and three workshop participants
10:45	Break
11:00	Movement and Flows Flow representation and mapping Discussion *Background Reading* (password protected): Links: Tobler's Reprinted Articles on Migration	Waldo Tobler
12:15	Lunch with Instructors
1:30	Introducing Spatial Perspectives in Undergraduate Teaching: Institutional Opportunities and Constraints	Discussion with Mike Goodchild
2:30	Parallel Electives * Open Computer Lab	Kathryn Grace David Folch Kirk Goldsberry Jeff Howarth
	Flow Mapper Implementation *Background Reading* (password protected): Links: Tobler's Space Talk	Waldo Tobler
3:30	Consultations with Instructors	F. Goodchild M. Goodchild S. Sweeney W. Tobler

Friday, July 20: Project Presentations / Closing Session
9:15	Participant Presentations and Peer Feedback 8 minute presentation, 4 minute discussion (maximum of 10 PowerPoint slides) Peer review for each participant
12:00	Lunch
1:15	Participant Presentations and Peer Feedback 8 minute presentation, 4 minute discussion. Peer review for each participant
3:15	Break
3:30	Participant Presentations and Peer Feedback 8 minute presentation, 4 minute discussion. Peer review for each participant
	Participant Presentations The following presentations are password protected Historical Fisheries - Sean Anderson Problems in Teaching Spatial Social Science - Wesley Bernardini and Steve Wuhs Spatial Interplay of Two Key Indicators of Sustainability Among Mäori of New Zealand - Kevin Byrne Ranking Florida Counties Infested with Major Invasive Species - Valentina David Senior Seminar Spatial Econonmics - Alex De Pinto Filling in the Blanks in Patchwork Nation - Joshua Dyck Mapping Inequality - Jill Grigsby Spatial Analysis for Transportation and Land Use Planning in the DAFT context, using GeoDa and FlowMap - Hiroyuki Iseki From Ancient Waters Flow Life and Knowledge - Esther John Demonstration of Spatial Auto-Correlation - Rajrani Kalra and Li Yin Minds On GIS: Encouraging Spatial Thinking in an Introductory GIS Lab - Sharla Lair Roots and Routes - Lillian Larsen Visualizing College Freshmen Migration Patterns Using Flow Mapper - Allan Joseph Medwick Identifying Ethnic Communities with Spatial Analysis - Sookhee Oh Demographics and Detritus - Jen Petersen Spatial Analysis and Spatial Statistics - Ana Simão Population Profile in Selected Counties of Virginia - Shoba Sriharan Patterning and Process in the Material Record: Thinking spatially about protohistoric landscapes - Jun Sunseri Satellite Imagery of Menominee Indian Reservation - William Van Lopik
4:30	Closing Comments	Don Janelle Stuart Sweeney Fiona Goodchild
6:00	BBQ Dinner and Workshop Certificates (Location to be arranged)

Saturday, July 21: Participants Depart Santa Barbara

* Definitions

Project Planning / Goal Setting - Workshop participants are expected to work on a project related to their curriculum and course development. This will be the basis of a final presentation from each participant towards the end of the workshop.
Poster Session - Describe who you are and your role at your home institution. Discuss your interest in spatial analysis and provide examples of how you may have or would like to incorporate spatial analytic perspectives in the undergraduate curriculum. Posters will be the focus for participant and instructor interaction at the reception on the first day of the workshop.
Parallel Electives - Participants may choose options that best reflect their interests and needs. Topics for parallel sessions are flexible and may be suggested by participants at any time during the workshop. These will allow for small-group and more in-depth treatment of topics than would be possible in larger groups.