
Overview
- Presents a series of geoinformatic techniques and methodologies to solve real world problems of important societal value
- Provides geoinformatic algorithms necessary to extract knowledge from massive amounts of geographically distributed data
- Bridges fields together such as GIS, statistics, machine learning, remote sensing, natural hazards, earth and atmospheric sciences
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Table of contents (7 chapters)
Reviews
From the book reviews:
“This hardcover book is a technically accurate production. … chapters can be used in advanced undergraduate and graduate courses for various purposes … . I recommend it to anyone who is interested in GIS applications. As a nonspecialist in this area, I found the editiors’ introduction very informative and enjoyable reading. … this expertly edited book addresses application areas to be used for research and specialty teaching purposes.” (M. M. Tanik, Computing Reviews, June, 2014)
Editors and Affiliations
Bibliographic Information
Book Title: Data Mining for Geoinformatics
Book Subtitle: Methods and Applications
Editors: Guido Cervone, Jessica Lin, Nigel Waters
DOI: https://doi.org/10.1007/978-1-4614-7669-6
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4614-7668-9Published: 17 August 2013
Softcover ISBN: 978-1-4899-8574-3Published: 22 August 2015
eBook ISBN: 978-1-4614-7669-6Published: 16 August 2013
Edition Number: 1
Number of Pages: XI, 166
Topics: Data Mining and Knowledge Discovery, Database Management, Geographical Information Systems/Cartography, Artificial Intelligence, Earth Sciences, general