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

By: Chun, YongwanContributor(s): Griffith, Daniel AMaterial type: TextTextSeries: SAGE advances in geographical information science and technologyPublication details: Los Angeles : SAGE, 2013Description: xiv, 181 p. : ill. (some col.), maps ; 24 cmISBN: 9781446201732 (hbk.); 9781446201749 (pbk.)Other title: Spatial statistics and geostatisticsSubject(s): Geospatial data | Spatial analysis (Statistics)DDC classification: 910.285 LOC classification: G70.217.G46 | C48 2013
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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Holdings
Item type Current library Call number Status Date due Barcode
Books Books Taita Taveta University Library
General Circulation 		HA 30.6 .S67 2013 (Browse shelf (Opens below)) Available T8103

"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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