Spatial Regression Models: AND Statistical Methods for Geography

Statistical Methods for Geography: A Student's Guide Third Edition The Third Edition of this bestselling text has been fully revised and updated. It provides a comprehensive introduction to the principal methods and techniques that students need to understand in order to successfully complete a statistics module. It remains unique in the teaching literature by being a primer on statistical methods written especially for students of geography, using spatial and geographical examples. Spatial Regression Models This text illustrates the use of spatial analysis in the social sciences. It includes sections that cover different modeling-related topics: mapping and making projections; doing exploratory spatial data analysis; working with models which have lagged endogenous right-handed side variables; using spatial error correction models; employing conditionally autoregressive models; and dealing with over-time panels exhibiting spatial structures. Each of the modeling-based discussions includes separate delineations of how to proceed when dealing with main variables that are quantitative as well as qualitative.
In each section, the authors employ prominent and diverse examples, introducing readers to key literature in the field. The examples are presented along with relevant data and programs written in the R, which illustrate exactly how to undertake the analyses described.