Spatial Data Mining: Theory and Application

✍ Scribed by Deren Li, Shuliang Wang, Deyi Li

• Publisher: Springer, Springer Berlin, Springer Berlin Heidelberg
• Year: 2015
• Tongue: English
• Leaves: 329
• Edition: 1st ed.
• Category: Library

✦ Synopsis

·        This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods. The data field method captures the interactions between spatial objects by diffusing the data contribution from a universe of samples to a universe of population, thereby bridging the gap between the data model and the recognition model. The cloud model is a qualitative method that utilizes quantitative numerical characters to bridge the gap between pure data and linguistic concepts. The mining view method discriminates the different requirements by using scale, hierarchy, and granularity in order to uncover the anisotropy of spatial data mining. The Deren Li method performs data preprocessing to prepare it for further knowledge discovery by selecting a weight for iteration in order to clean the observed spatial data as much as possible. In addition to the essential algorithms and techniques, the book provides application examples of spatial data mining in geographic information science and remote sensing. The practical projects include spatiotemporal video data mining for protecting public security, serial image mining on nighttime lights for assessing the severity of the Syrian Crisis, and the applications in the government project ‘the Belt and Road Initiatives’.

✦ Table of Contents

Front Matter....Pages i-xxviii
Introduction....Pages 1-22
SDM Principles....Pages 23-55
SDM Data Source....Pages 57-118
Spatial Data Cleaning....Pages 119-155
Methods and Techniques in SDM....Pages 157-173
Data Field....Pages 175-185
Cloud Model....Pages 187-201
GIS Data Mining....Pages 203-256
Remote Sensing Image Mining....Pages 257-297
SDM Systems....Pages 299-308

✦ Subjects

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