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Spatial data analysis in ecology and agriculture using R

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Spatial data analysis in ecology and agriculture using R/ Richard E. Plant.
Author:	Plant, Richard E.
Published:	Boca Raton :CRC Press, : c2012.,
Description:	1 online resource (xv, 637 p.) :ill., maps. :
Subject:	Agriculture - Statistical methods. -
Online resource:	http://www.crcnetbase.com/isbn/9781439819142
Online resource:	https://www.taylorfrancis.com/books/9780429137150
ISBN:	9781439819142 (electronic bk.)

Spatial data analysis in ecology and agriculture using R
Plant, Richard E.

Spatial data analysis in ecology and agriculture using R[electronic resource] /Richard E. Plant. - Boca Raton :CRC Press,c2012. - 1 online resource (xv, 637 p.) :ill., maps.

Includes bibliographical references (p. 599-617).

Working with spatial data -- R programming environment -- Statistical properties of spatially autocorrelated data -- Measures of spatial autocorrelation -- Sampling and data collection -- Preparing spatial data for analysis -- Preliminary exploration of spatial data -- Multivariate methods for spatial data exploration -- Spatial data exploration via multiple regression -- Variance estimation, the effective sample size, and the bootstrap -- Measures of bivariate association between two spatial variables -- Mixed model -- Regression models for spatially autocorrelated data -- Bayesian analysis of spatially autocorrelated data -- Analysis of spatiotemporal data -- Analysis of data from controlled experiements -- Assembling conclusions -- Appendix A: Review of mathematical concepts -- Appendix B: The data sets -- Appendix C: An R thesaurus.

Assuming no prior knowledge of R, Spatial data analysis in ecology and agriculture using R provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. Written in terms of four data sets easily accessible online, this book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Based on the author's spatial data analysis course at the University of California, Davis, the book is intended for classroom use or self-study by graduate students and researchers in ecology, geography, and agricultural science with an interest in the analysis of spatial data.

ISBN: 9781439819142 (electronic bk.)Subjects--Topical Terms:

1061015
Agriculture
--Statistical methods.Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: S566.55 / .P53 2012

Dewey Class. No.: 635.0727

National Library of Medicine Call No.: S 566.55

Spatial data analysis in ecology and agriculture using R
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020 $a 9781439819142 (electronic bk.)
020 $a 1439819149 (electronic bk.)
020 $a 9781280121722 (MyiLibrary)
020 $a 1280121726 (MyiLibrary)
020 $z 9781439819135 (hardcover : alk. paper)
020 $z 1439819130 (hardcover : alk. paper)
020 $a 9781439896341 (electronic bk.)
020 $a 1439896348 (electronic bk.)
035 $a (OCoLC)781614982 $z (OCoLC)785337403 $z (OCoLC)785514700 $z (OCoLC)787845971 $z (OCoLC)808961193 $z (OCoLC)821263210 $z (OCoLC)857106393
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050 4 $a S566.55 $b .P53 2012
060 4 $a S 566.55
082 0 4 $a 635.0727
100 1 $a Plant, Richard E. $3 1061014
245 1 0 $a Spatial data analysis in ecology and agriculture using R $h [electronic resource] / $c Richard E. Plant.
260 $a Boca Raton : $b CRC Press, $c c2012.
300 $a 1 online resource (xv, 637 p.) : $b ill., maps.
504 $a Includes bibliographical references (p. 599-617).
505 0 $a Working with spatial data -- R programming environment -- Statistical properties of spatially autocorrelated data -- Measures of spatial autocorrelation -- Sampling and data collection -- Preparing spatial data for analysis -- Preliminary exploration of spatial data -- Multivariate methods for spatial data exploration -- Spatial data exploration via multiple regression -- Variance estimation, the effective sample size, and the bootstrap -- Measures of bivariate association between two spatial variables -- Mixed model -- Regression models for spatially autocorrelated data -- Bayesian analysis of spatially autocorrelated data -- Analysis of spatiotemporal data -- Analysis of data from controlled experiements -- Assembling conclusions -- Appendix A: Review of mathematical concepts -- Appendix B: The data sets -- Appendix C: An R thesaurus.
520 $a Assuming no prior knowledge of R, Spatial data analysis in ecology and agriculture using R provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. Written in terms of four data sets easily accessible online, this book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Based on the author's spatial data analysis course at the University of California, Davis, the book is intended for classroom use or self-study by graduate students and researchers in ecology, geography, and agricultural science with an interest in the analysis of spatial data.
588 0 $a Print version record.
650 0 $a Agriculture $x Statistical methods. $3 1061015
650 0 $a Spatial analysis (Statistics) $3 562936
650 0 $a R (Computer program language) $3 679069
650 2 $a Statistics as Topic. $3 720693
650 2 $a Agriculture. $3 660421
650 2 $a Spatial Analysis. $3 1061016
650 2 $a Programming Languages. $3 970779
655 0 $a Electronic books. $2 local $3 554714
856 4 0 $u http://www.crcnetbase.com/isbn/9781439819142
856 4 0 $u https://www.taylorfrancis.com/books/9780429137150