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Spatial data analysis in ecology and agriculture using R

By: Plant, Richard E.
Material type: materialTypeLabelBookPublisher: Boca Raton : CRC Press, 2019Edition: 2nd ed.Description: xvii, 666 p. ; ill.,(b & w) , 26 cm.ISBN: 9780815392750.Subject(s): Spatial analysis | Agriculture Statistical methods | Ecology Statistical methodsDDC classification: 338.1072 Summary: 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.
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Books 338.1072 PLA (Browse shelf) Available 034694

Includes bibliographical references and index.

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.

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