Geographic information systems (GIS) provide facilities for storing, managing and analyzing geographic data which can be used for statistical purposes.
Geographic information systems (GIS) provide facilities for storing, managing and analyzing geographic data. Since GIS is not a unified system, the quality of data depends on how they were collected with GPS and aerial photography being the most reliable sources of data. GIS can relate any type of data to certain locations given that latitude and longitude (sometimes also elevation) are provided. This makes it an attractive system for those working with spatial statistical models and data visualization with maps. An example of the use of GIS is the relation of crime and unemployment rates across districts of a city.
The software package Stata
has extensive routines for spatial data analysis and data visualization as do R
and Matlab
. The documentations are vast though the following links may provide a starting point for further reference:
Spatial Data Analysis in Stata - an Overview for Stata
Spatial Statistics Software and Spatial Data for Matlab
R Spatial Tips for R