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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...
| Call Number: | Libro Electrónico |
|---|---|
| Main Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Boca Raton :
CRC Press,
©2012.
|
| Subjects: | |
| Online Access: | Texto completo |
Table of Contents:
- 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.