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Metadata Details
Spatial Data Analysis for Social Scientists
Contributed by Paul Voss |
| version |
Spring 2001 |
| 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 |
2002-07-25 |
| location |
|
Link
|
| learning_time |
1:00:00 |
| keywords |
GIS Instruction, ArcView, gravity model, spatial interaction, autocorrelation, point pattern analysis, spatial data analysis, spatially continuous data |
| format |
application/pdf |
| end_user_role |
Teacher |
| 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. |
| CSISS_interest_area |
geographic information system / GIS,spatial data analysis,gravity model |
| CSISS_discipline |
Urban Studies |
| contributor_role_1 |
Author |
| contributor_entity_1 |
Paul Voss |
| contributor_date_1 |
2001-01-10 |
| aggregation_level |
1 |
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