Central Library , Vidyasagar University

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Central Library - Vidyasagar University

“Education does not only mean learning, reading, writing, and arithmetic,

it should provide a comprehensive knowledge”

-Ishwarchandra Vidyasagar


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Spatial statistics & geostatistics : theory and applications for geographic information science & technology / by Yongwan Chun & Daniel A. Griffith.

By: Chun, Yongwan [author].
Contributor(s): Griffith, Daniel A [Joint author].
Material type: TextTextSeries: SAGE advances in geographical information science and technology: Publisher: Los Angeles : SAGE, 2013Description: xiv, 181 p. : ill. (some col.), maps ; 24 cm.ISBN: 9781446201749 .Subject(s): Geospatial data | SPATIAL ANALYSIS | STATISTICSDDC classification: 519.5
Contents:
Introduction -- Spatial autocorrelation -- Spatial sampling -- Spatial composition and configuration -- Spatially adjusted regression and related spatial econometrics -- Local statistics: hot and cold spots -- Analyzing spatial variance and covariance with geostatistics and related techniques -- Methods for spatial interpolation in two dimensions -- More advanced topics in spatial statistics.
Summary: Its focus is on spatial statistics as a distinct form of statistical analysis and it includes computer components for ArcGIS, R, SAS, and WinBUGS. The teaching and learning objective of the text is to illustrate the use of basic spatial statistics, geostatistics and the spatial filtering techniques used in all the relevant programs and software.
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Item type Current location Call number Status Notes Date due Barcode
Books Books Central Library
Library Annex (Ground Floor) 		519.5 CHU/S (Browse shelf) Available 3539 113754

"GIST"

Includes bibliographical references (p. [169]-173) and index.

Introduction -- Spatial autocorrelation -- Spatial sampling -- Spatial composition and configuration -- Spatially adjusted regression and related spatial econometrics -- Local statistics: hot and cold spots -- Analyzing spatial variance and covariance with geostatistics and related techniques -- Methods for spatial interpolation in two dimensions -- More advanced topics in spatial statistics.

Its focus is on spatial statistics as a distinct form of statistical analysis and it includes computer components for ArcGIS, R, SAS, and WinBUGS. The teaching and learning objective of the text is to illustrate the use of basic spatial statistics, geostatistics and the spatial filtering techniques used in all the relevant programs and software.

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