The purpose of this talk is to give an overview of Stata's potential for spatial data analysis. First, the use of -spmap- for thematic and analytical mapping is illustrated. Then, kernel density estimation of two-dimensional spatial point patterns is discussed. Finally, Stata commands for detecting spatial autocorrelation and fitting spatial regression models are briefly presented.
Pisati, M. (2012). Spatial Data Analysis in Stata: An Overview. Intervento presentato a: 9th Italian Stata Users Group Meeting, Bologna, Italy.
Spatial Data Analysis in Stata: An Overview
PISATI, MAURIZIO
2012
Abstract
The purpose of this talk is to give an overview of Stata's potential for spatial data analysis. First, the use of -spmap- for thematic and analytical mapping is illustrated. Then, kernel density estimation of two-dimensional spatial point patterns is discussed. Finally, Stata commands for detecting spatial autocorrelation and fitting spatial regression models are briefly presented.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
