Spatial Data Mining: Theory and Application


Spatial Data Mining: Theory and Application
Authors: Deren L.
Language: English
ISBN 13: 9783662485385
ISBN 10: 3662485389
Categories: Computers, Cybernetics
Pages: 320 / 319

Availability: 5000 in stock

SKU: 9783662485385 Categories: ,

Spatial Data Mining: Theory and Application Deren L., Shuliang W., Deyi L.
Springer, 201 — 308 p. — ISBN: 3662485362, 9783662485361Presents up-to-date work on core theories and applications of spatial data mining, combining the principles of data mining and geospatial information science
Proposes data fields, cloud model, and mining views methods, and presents empirical applications in the context of GIS and remote sensingThis 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’. Categories:
Computers – Cybernetics
ISBN 10:
ISBN 13:
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Spatial Data Mining: Theory and Application

Availability: 5000 in stock