Data Mining for Geoinformatics

Methods and Applications

Editors: Cervone, Guido, Lin, Jessica, Waters, Nigel (Eds.)

  • 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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eBook $84.99
price for USA (gross)
  • ISBN 978-1-4614-7669-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-1-4614-7668-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining focuses on the development and implementation of computational algorithms to solve these problems. This unique volume contains a collection of chapters on state-of-the-art data mining techniques applied to geoinformatic problems of high complexity and important societal value. Data Mining for Geoinformatics addresses current concerns and developments relating to spatio-temporal data mining issues in remotely-sensed data, problems in meteorological data such as tornado formation, estimation of radiation from the Fukushima nuclear power plant, simulations of traffic data using OpenStreetMap, real time traffic applications of data stream mining, visual analytics of traffic and weather data and the exploratory visualization of collective, mobile objects such as the flocking behavior of wild chickens. This book is designed for researchers and advanced-level students focused on computer science, earth science and geography as a reference or secondary text book. Practitioners working in the areas of data mining and geoscience will also find this book to be a valuable reference.

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)


Table of contents (7 chapters)

  • Computation in Hyperspectral Imagery (HSI) Data Analysis: Role and Opportunities

    Salvador, Mark (et al.)

    Pages 1-27

  • Toward Understanding Tornado Formation Through Spatiotemporal Data Mining

    McGovern, Amy (et al.)

    Pages 29-47

  • Source Term Estimation for the 2011 Fukushima Nuclear Accident

    Cervone, Guido (et al.)

    Pages 49-64

  • GIS-Based Traffic Simulation Using OSM

    Dallmeyer, Jörg (et al.)

    Pages 65-82

  • Evaluation of Real-Time Traffic Applications Based on Data Stream Mining

    Geisler, Sandra (et al.)

    Pages 83-103

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-1-4614-7669-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-1-4614-7668-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Data Mining for Geoinformatics
Book Subtitle
Methods and Applications
Editors
  • Guido Cervone
  • Jessica Lin
  • Nigel Waters
Copyright
2014
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
Distribution Rights
Distribution rights for India: Researchco Book Centre, New Delhi, India
eBook ISBN
978-1-4614-7669-6
DOI
10.1007/978-1-4614-7669-6
Hardcover ISBN
978-1-4614-7668-9
Edition Number
1
Number of Pages
XI, 166
Topics