SpaceStat Tutorial

Empirical work in many scientific fields is based on data for which the location of the observations is an important attribute. This type of data may be referred to as spatial data. The observations consist of a single cross-section of spatial units, or of a time series of cross-sections (often referred to as pooled cross section and time series data, or panel data). Some examples of the range of empirical studies where spatial data are encountered are: the analysis of patterns of tree growth in forestry; the study of plant diversity in ecology; the analysis of geological strata; the study of urban crime by census tract; the analysis of ancient settlements; the study of crop yields; the analysis of social networks; the quantitative study of international relations; the analysis of regional labor markets; the study of regional mortality differentials; and the analysis of the spread of diseases (see Anselin, 1993, for a more extensive illustration). [via]

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