Stata in space: Econometric analysis of spatially explicit raster data
The objective of this article is to demonstrate how spatially explicit raster data derived from standard geographical information system (GIS) software can be used within Stata. Three programs implemented as ado-files are presented. These import geographic raster data into Stata (ras2dta), draw systematic spatial samples within Stata (spatsam), and export data and estimation results in a form usable by standard GIS software (dta2ras). A numerical example is presented to estimate the determinants of forest cover with a spatially explicit logit model, calculate predicted probabilities, and map the predictions with GIS software. View all articles by this author: Daniel Müller View all articles with these keywords: ras2dta, spatsam, dta2ras, geographical information systems (GIS), raster data, spatial modeling, spatial econometrics Download citation: BibTeX RISDownload citation and abstract: BibTeX RIS |