A Synthesis of spatial models for multivariate count responses

Abstract

This chapter provides a synthesis of spatial data mining models for analyzing multivariate count responses. Geo-referenced multivariate count responses are common in regional science (e.g., registered vehicle counts by body type and firm/job counts by industry type), but are computationally difficult to model—especially when sample size is large. This chapter synthesizes relevant research and offers lessons learned and best practices for future research.