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Geographical Models with Mathematica provides a fairly comprehensive overview of the types of models necessary for the development of new geographical knowledge, including stochastic models, models for data analysis, for geostatistics, for networks, for dynamic systems, for cellular automata and for multi-agent systems, all discussed in their theoretical context. The author then provides over 65 programs, written in the Mathematica language, that formalize these models. Case studies are provided to help the reader apply these programs to their own studies.

Mathematica (Computer file). --- Mathematica (Computer file)

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"This text demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS (Version 25). Annotated screen shots provide readers with a step-by-step understanding of each technique. Readers learn how to set up, run, and interpret a variety of models. Diagnostic tools, data management issues, and related graphics are introduced throughout. Extended examples illustrate the logic of model development to show the rationale of the research questions and the steps around which the analyses are structured. New to this edition is coverage of generalized linear mixed-effects models, making longitudinal plots and unbalanced longitudinal data and write-up examples"--

Databases --- PASW (Computer file) --- SPSS (Computer file)

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