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Spatial Data Analysis in Ecology and Agriculture Using R / by Richard E Plant

By: Material type: TextTextLanguage: English Publication details: London : CRC Press , 2012 .Description: xv,631pISBN:
  • 9781439819135
Subject(s): Other classification:
  • B28:(J) Q2
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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Item type Current library Home library Call number Status Barcode
Textual Textual Central Science Library Central Science Library B28:(J) Q2 (Browse shelf(Opens below)) Available SL1558492

Included References 599-618p.; Index 619-631p.

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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