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Spatial data analysis in ecology and agriculture using R /

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, th...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Plant, Richard E.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, ©2012.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.