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Spatial Data Analysis in Ecology and Agriculture Using R

By: (Author) Richard E. Plant

Extended Catalogue

Ksh 21,100.00

Format: Hardback or Cased Book

ISBN-10: 0815392753

ISBN-13: 9780815392750

Edition Number: 2

Publisher: Taylor & Francis Inc

Imprint: CRC Press Inc

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 17th, 2018

Print length: 666 Pages

Weight: 1,422 grams

Dimensions (height x width x thickness): 18.50 x 26.00 x 4.60 cms

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  • Description

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The book provides instruction on using R programming language to analyze spatial data from research in ecology, agriculture, and environmental science. It guides readers in analyzing data sets, setting research objectives, designing sampling plans, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions.

Key features:

  • Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R
  • Provides exercises in each chapter to facilitate the book''s use as a course textbook or for self-study
  • Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data.
  • Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods
  • Updates its coverage of R software including newly introduced packages

 

Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book''s practical coverage of spatial statistics, real-world examples, and user-friendly approach in presenting and explaining R code, aspects maintained in this update. Using data sets from cultivated and uncultivated ecosystems, the 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. 

Additional material to accompany the book, on both analyzing satellite data and on multivariate analysis, can be accessed at https://www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.  


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