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Spatial data analysis in ecology and...

Plant, Richard E.

Spatial data analysis in ecology and agriculture using R

紀錄類型:	書目-語言資料,印刷品 : 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. :
提要註:	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.
標題:	Programming Languages. -
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:

382652
Programming Languages.
Index Terms--Genre/Form:

228523
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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008 151124s2012 fluab ob 000 0 eng d
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
035 $a ocn781614982
040 $a EBLCP $b eng $c EBLCP $d OCLCQ $d OSU $d YDXCP $d GZM $d OCLCQ $d CDX $d OCLCO $d OHS $d DEBSZ $d OCLCQ $d OCLCO $d MHW $d IDEBK $d OCLCF $d E7B $d N $d UAB $d CNSPO $d CRCPR $d KASET $d K6U
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 382649
245 1 0 $a Spatial data analysis in ecology and agriculture using R $h [electronic resource] / $c Richard E. Plant.
260 $a Boca Raton : $c c2012. $b CRC Press,
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 2 $a Programming Languages. $3 382652
650 2 $a Spatial Analysis. $3 382651
650 2 $2 96060 $a Agriculture. $3 245308
650 2 $2 96060 $a Statistics as Topic. $3 245400
650 0 $2 96060 $a R (Computer program language) $3 253547
650 0 $a Spatial analysis (Statistics) $3 311073
650 0 $a Agriculture $x Statistical methods. $3 382650
655 0 $a Electronic books. $2 local $3 228523
856 4 0 $u http://www.crcnetbase.com/isbn/9781439819142

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