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Metadata Details
Spatial Modeling and Analysis
Contributed by Arthur J. Lembo, Jr. |
| version |
Spring 2002 |
| status |
Final |
| rights_restrictions |
unknown |
| rights_description |
unknown |
| rights_cost |
no |
| resource_type |
Lesson Plans/ Syllabi |
| metametadata_contributor_role |
Creator |
| metametadata_contributor_entity |
David Fearon, fear@umail.ucsb.edu |
| metametadata_contributor_date |
2002-07-24 |
| location |
| http://www.css.cornell.edu/courses/620/css620.html |
| learning_time |
1:00:00 |
| keywords |
spatial modeling, geographic information system / GIS, environmental systems, GIS education, Map understanding, spatial data, Geographic visualization, GIS software, spatial databases, ArcView, autocorrelation, Kriging, GeoStatistics, spatial interpolatio |
| format |
text/html |
| end_user_role |
Teacher |
| 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 |
| CSISS_interest_area |
geographic information system / GIS,geographic visualization,GIS Software |
| CSISS_discipline |
Environmental Studies & Policy,Geography |
| contributor_role_1 |
Author |
| contributor_entity_1 |
Arthur J. Lembo, Jr. |
| contributor_date_1 |
0000-00-00 |
| contributor_role_2 |
Author |
| contributor_entity_2 |
Stephen D. DeGloria |
| contributor_date_2 |
0000-00-00 |
| aggregation_level |
3 |
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