Description: Data Mining for Geoinformatics Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Methods and Applications Author(s): Guido Cervone, Jessica Lin, Nigel Waters Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781489985743, 978-1489985743 Synopsis 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.
Price: 38.28 GBP
Location: Aldershot
End Time: 2025-02-03T11:01:15.000Z
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Book Title: Data Mining for Geoinformatics
Number of Pages: 166 Pages
Publication Name: Data Mining for Geoinformatics: Methods and Applications
Language: English
Publisher: Springer-Verlag New York Inc.
Item Height: 235 mm
Subject: Geography & Geosciences, Geology, Computer Science
Publication Year: 2015
Type: Textbook
Item Weight: 2818 g
Author: Nigel Waters, Jessica Lin, Guido Cervone
Item Width: 155 mm
Format: Paperback