Overview
- Contains a distillation of practical techniques from multiple fields
- Features techniques illustrated on an easy to understand (and included) population density data set
- Includes software implementation in Java of the techniques described in the text
Part of the book series: Geotechnologies and the Environment (GEOTECH, volume 6)
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About this book
The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. The aim is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution survey imagery.
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Keywords
Table of contents (8 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
About the author
Dr. Valliappa Lakshmanan is an expert in machine intelligence R&D for meteorological applications, and in designing and developing large-scale software systems. He is skilled in communicating technical and non-technical material to diverse audiences. He has studied at the Indian Institute of Technology in Madras, the Ohio State University in Columbus and the University of Oklahoma.
Dr. Lakshmanan is currently employed as a Research Scientist at CIMMS, being the technical lead on several software projects and research groups.
He also develops automated real-time pattern recognition algorithms and visualization techniques for weather phenomena.
He has (co-)written many journal articles.
Dr. Lakshmanan is currently employed as a Research Scientist at CIMMS, being the technical lead on several software projects and research groups.
He also develops automated real-time pattern recognition algorithms and visualization techniques for weather phenomena.
He has (co-)written many journal articles.
Bibliographic Information
Book Title: Automating the Analysis of Spatial Grids
Book Subtitle: A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications
Authors: Valliappa Lakshmanan
Series Title: Geotechnologies and the Environment
DOI: https://doi.org/10.1007/978-94-007-4075-4
Publisher: Springer Dordrecht
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media Dordrecht. 2012
Hardcover ISBN: 978-94-007-4074-7Published: 14 June 2012
Softcover ISBN: 978-94-017-7940-1Published: 23 August 2016
eBook ISBN: 978-94-007-4075-4Published: 14 June 2012
Series ISSN: 2365-0575
Series E-ISSN: 2365-0583
Edition Number: 1
Number of Pages: X, 320
Topics: Geotechnical Engineering & Applied Earth Sciences, Geographical Information Systems/Cartography, Data Mining and Knowledge Discovery, Earth Sciences, general