Data Mining for Geoinformatics

Methods and Applications

  • Guido Cervone
  • Jessica Lin
  • Nigel Waters

Table of contents

  1. Front Matter
    Pages i-xi
  2. Amy McGovern, Derek H. Rosendahl, Rodger A. Brown
    Pages 29-47
  3. Guido Cervone, Pasquale Franzese
    Pages 49-64
  4. Jörg Dallmeyer, Andreas D. Lattner, Ingo J. Timm
    Pages 65-82
  5. Yuzuru Tanaka, Jonas Sjöbergh, Pavel Moiseets, Micke Kuwahara, Hajime Imura, Tetsuya Yoshida
    Pages 105-126
  6. Back Matter
    Pages 155-166

About this book

Introduction

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.

Keywords

Computational Methods Data Mining Earth Science GIS Geoinformatics Geoscience Machine Learning Natural Hazards Regression Remote Sensing

Editors and affiliations

  • Guido Cervone
    • 1
  • Jessica Lin
    • 2
  • Nigel Waters
    • 3
  1. 1.Department of Geography and GeoinformatiGeorge Mason UniversityFairfaxUSA
  2. 2.Department of Computer ScienceGeorge Mason UniversityFairfaxUSA
  3. 3.Department of Geography and GeoinformatiGeorge Mason UniversityFairfaxUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-7669-6
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-7668-9
  • Online ISBN 978-1-4614-7669-6
  • About this book