ABSTRACT

Discusses types of data collection processes that generate spatial and spatial-temporal data, identifies the form of “experiment” (if any) that lies behind the data we analyse and then considers the implications for how we can interpret the results from any statistical analysis. We also discuss the presence of spatial dependence and spatial heterogeneity, as well as other data properties, in the context of how the data are collected and the relationship between the spatial database and the geographical “reality” that the chosen spatial database is constructed to represent.