Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL

Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL cover

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Author: Luc Anselin

Pages: 394

Size: 3.411,52 Kb

Publication Date: December 27,2014

Category: Statistics



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This book may be the definitive user’s guide to the spatial regression functionality in the program packages GeoDa and GeoDaSpace, and also the spreg module in the PySAL library –-all developed at the GeoDa Center for Geospatial Analysis and Computation. The book supplies the techniques to check for and estimate spatial results in linear regression versions, addressing both spatial dependence (spatial autoregressive models) in addition to spatial heterogeneity (spatial regimes versions). As the classical optimum likelihood estimation is roofed, the book’s protection emphasizes modern techniques predicated on the theory of generalized approach to moments (GMM). The reserve also acts as an introduction and a useful direct to spatial econometrics for the reason that it addresses the methodological concepts and formal outcomes that underlie the many estimation methods, test methods and model features computed by the program.