Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems

The book delves into the complexities of analyzing areal data, highlighting the significance of spatial correlograms, a concept adapted from time series analysis. It discusses the relationships between first-order and second-order neighbors in spatial contexts, illustrating how dependencies can extend beyond immediate areas. Various figures provide visual representations of voting patterns and demographic statistics, emphasizing the intricate connections between geographic regions and their socio-political characteristics. The exploration of these themes offers valuable insights into spatial analysis methodologies.