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Spatial data analysis in ecology and...

Plant, Richard E.

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Spatial data analysis in ecology and agriculture using R

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Spatial data analysis in ecology and agriculture using R/ Richard E. Plant.
作者:	Plant, Richard E.
出版者:	Boca Raton :CRC Press, : c2012.,
面頁冊數:	1 online resource (xv, 637 p.) :ill., maps.
內容註:	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.
標題:	Agriculture - Statistical methods. -
電子資源:	http://www.crcnetbase.com/isbn/9781439819142
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:

613021
Agriculture
--Statistical methods.Index Terms--Genre/Form:

542853
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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100 1 $a Plant, Richard E. $3 2121454
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 613021
650 0 $a Spatial analysis (Statistics) $3 520421
650 0 $a R (Computer program language) $3 784593
650 2 $a Statistics as Topic. $3 2017472
650 2 $a Agriculture. $3 518588
650 2 $a Spatial Analysis. $3 2142216
650 2 $a Programming Languages. $3 2018381
655 0 $a Electronic books. $2 lcsh $3 542853
856 4 0 $u http://www.crcnetbase.com/isbn/9781439819142