Bayesian Statistics in Spatial Analysis

Bayesian maximum entropy (BME) is a group of spatial analysis techniques that are used to study natural systems (physical, biological, health, social, financial, and cultural) and their attributes. Methodologically, spatial BME analysis is a synthesis of stochastics theory with epistematics principles. Stochastics theory involves random fields (spatial and spatiotemporal; ordinary and generalized). Epistematics introduces a fusion of evolutionary concepts and methods from brain and behavioral sciences (e.g., intentionality, adaptation, teleology of reason, complementarity, and prescriptivity) in real-world problem solving. Consequently, instead of a dry presentation of spatial analysis within a hermetically sealed mathematics discourse, the BME approach focuses on the basic inquiry process that investigates the problem's conceptual background and knowledge status, and presents it within a general methodological context that accounts for objective reality-human ...