ABSTRACT
This chapter consists of two major parts in geospatial research: spatial data analysis and spatial econometrics. The sections include the purpose of spatial analysis, explanations of spatial data, and the history of spatial analysis in planning. The following mechanics section looks at how to handle spatial data, define spatial associations, and plot the spatial data. Particularly, different types of spatial autocorrelation measures are introduced. Following are spatial econometric models such as spatial filtering. The step-by-step guide instructs on how to use ArcGIS to conduct spatial analyses and R program to build a spatial econometric model. The chapter concludes with two examples of spatial econometrics in the planning world. The chapter is coauthored by Professor Simon C. Brewer, the University of Utah’s leading researcher of spatial econometrics.
