Temporal GIS: Advanced Functions for Field-Based Applications by George ChristakosTemporal GIS: Advanced Functions for Field-Based Applications by George Christakos

Temporal GIS: Advanced Functions for Field-Based Applications

byGeorge Christakos, Patrick Bogaert, Marc Serre

Hardcover | January 11, 2002

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The book focuses on the development of advanced functions for field-based Temporal Geographical Information Systems (TGIS). These fields describe natural, epidemiological, economic, and social phenomena distributed across space and time. The book is organized around 4 main themes: concepts, mathematical tools, computer programs, and applications.The reader is also familiarized with the TGIS toolbox of advanced functions and the associated library of comprehensive computer programs, BMElib.
Title:Temporal GIS: Advanced Functions for Field-Based ApplicationsFormat:HardcoverDimensions:229 pagesPublished:January 11, 2002Publisher:Springer Berlin HeidelbergLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540414762

ISBN - 13:9783540414766


Table of Contents

From the contents: 1. A BME View to the New Realities of TGIS.- 2. Spatiotemporal Modelling.- 3. Knowledge Bases Integration.- 4. Spatiotemporal Mapping.- 5. Interpretive BME.- 6. The BME Toolbox in Action.- 7. The BME Computer Library.- 8. Scientific Hypothesis Testing, Explanation, and Decision Making.

Editorial Reviews

From the reviews:"I did enjoy reading this book. The authors presented information in an easily readable style and a generally logical format. . this book would provide a workable basis and valuable doorway to the world of advanced TGIS." (Kerryn Robinson, The Australian Geologist, Issue 126, 2003)"This is an attractive production from Springer . . there is a useful section of references and an index. Concepts are clearly and cleverly interwoven with practical examples. The diagrams support the text and are clear on their own account. The text seems clearly written and carefully prepared. An instructor looking for a fresh approach to teaching statistical modelling to students in a variety of disciplines might find this book a delightful choice!" (Sandra L. Arlinghaus, Mathematical Reviews, Issue 2002 k)