Description: Spatial Statistics & Geostatistics : Theory and Applications for Geographic Information Science & Technology, Hardcover by Chun, Yongwan; Griffith, Daniel A., ISBN 1446201732, ISBN-13 9781446201732, Brand New, Free shipping in the US In order to help researchers and practitioners use eigenvector spatial filtering (ESF), which makes spatial statistics more accessible to very many users, Chun and Griffith (both geospatial information sciences, U. of Texas-Dallas) compare geostatistics, spatial autoregression, and ESF analyses. They also include code in the R open-source statistics software for implementing the analysis. The topics include spatial autocorrelation, spatial composition and configuration, spatially adjusted regression and related spatial econometrics, analyzing spatial variance and covariance with geostatistics and related techniques, and more advanced topics in spatial statistics. Annotation ©2013 Book News, Inc., Portland, OR ()
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Book Title: Spatial Statistics & Geostatistics : Theory and Applications for
Number of Pages: 200 Pages
Publication Name: Spatial Statistics and Geostatistics : Theory and Applications for Geographic Information Science and Technology
Language: English
Publisher: SAGE Publications, The Limited
Item Height: 0.6 in
Publication Year: 2013
Subject: Probability & Statistics / General, General, Remote Sensing & Geographic Information Systems
Item Weight: 16 Oz
Type: Not Available
Item Length: 9.8 in
Author: Yongwan Chun, Daniel A. Griffith
Subject Area: Mathematics, Technology & Engineering, Référence
Item Width: 6.9 in
Series: Sage Advances in Geographic Information Science and Technology Ser.
Format: Hardcover
