Abstract
The linkage between spatial data analysis and Geographic Information Systems is an important step in providing additional spatial analytical capabilities to a GIS. In this paper, we review a number of approaches that have been suggested to link GIS and data analysis and proceed to develop a simple taxonomy based on the type and number of information flows between a GIS and data analysis module. We focus on the conceptual and practical implementation issues and identify several categories of analyses that could benefit from the linkage. We illustrate our ideas with examples for a small data set, combining SpaceStat, a program for the analysis of spatial data, with the Arc/Info GIS to study spatial dependence, spatial heterogeneity and regression model diagnostics. -Authors
| Original language | English (US) |
|---|---|
| Title of host publication | Geographical Systems |
| Pages | 3-23 |
| Number of pages | 21 |
| Volume | 1 |
| Edition | 1 |
| State | Published - 1993 |
| Externally published | Yes |
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Environmental Science(all)