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A . 4 GeoDa : An Introduction to Spatial Data Analysis
| Content Provider | Semantic Scholar |
|---|---|
| Author | Anselin, Luc Syabri, Ibnu Kho, Youngihn |
| Abstract | The development of specialized software for spatial data analysis has seen rapid growth since the lack of such tools was lamented in the late 1980s by Haining (1989) and cited as a major impediment to the adoption and use of spatial statistics by GIS researchers. Initially, attention tended to focus on conceptual issues, such as how to integrate spatial statistical methods and a GIS environment (loosely vs. tightly coupled, embedded vs. modular, etc.), and which techniques would be most fruitfully included in such a framework. Familiar reviews of these issues are represented in, among others, Anselin and Getis (1992), Goodchild et al. (1992), Fischer and Nijkamp (1993), Fotheringham and Rogerson (1993, 1994), Fischer et al. (1996), and Fischer and Getis (1997). Today, the situation is quite different, and a fairly substantial collection of spatial data analysis software is readily available, ranging from niche programs, customized scripts and extensions for commercial statistical and GIS packages, to a burgeoning open source effort using software environments such as R, Java and Python. This is exemplified by the growing contents of the software tools clearing house maintained by the U.S.based Center for Spatially Integrated Social Science [CSISS] (see http://www.csiss.org/clearinghouse/). CSISS was established in 1999 as a research infrastructure project funded by the U.S. National Science Foundation in order to promote a spatial analytical perspective in the social sciences (Goodchild et al. 2000). It was readily recognized that a major instrument in disseminating and facilitating spatial data analysis would be an easy to use, visual and interactive software package, aimed at the non-GIS user and requiring as little as possible in terms of other software (such as GIS or statistical packages). GeoDa is the outcome of this effort. It is envisaged as an ‘introduction to spatial data analysis’ where the latter is taken to |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://page-one.springer.com/pdf/preview/10.1007/978-3-642-03647-7_5 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
