Author(s)

George Christakos

Abstract

The multi-point Bayesian Maximum Entropy (BME) approach considers physical data analysis from a modern geostatistical perspective, promoting the view that a deeper understanding of a theory of knowledge is an important prerequisite for the improved mathematical modelling and mapping of spatiotemporal environmental variables. A spatiotemporal map should depend on what we know about the phenomenon it represents, as well as how we know it (i.e., how we collect and process knowledge). BME's rich theoretical basis provides guidelines for the adequate interpretation and processing of all knowledge bases available. BME is formulated in a way that preserves earlier geostatistical results, which are its limiting cases, but it also provides novel and more general r

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