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Spatial Data Analysis in Ecology and Agriculture Using R de Richard E. Plant

Spatial Data Analysis in Ecology and Agriculture Using R

Autor Richard E. Plant
en Limba Engleză Hardback – 23 ian 2026
This third edition explores both the leading software tools, methodology of spatial data analysis and the suite of R, for the analysis of vector and raster data. The book's practical coverage of spatial statistics, real-world examples and user-friendly approach make this an essential textbook for ecology and agriculture graduate students.
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Specificații

ISBN-13: 9781032935331
ISBN-10: 1032935332
Pagini: 652
Dimensiuni: 178 x 254 mm
Greutate: 1.37 kg
Ediția:3. Auflage
Editura: Taylor & Francis Ltd.

Cuprins

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. Using Non-Spatial Methods to Explore Spatial Data. 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 Experiments. Assembling Conclusions. Appendices. Review of Mathematical Concepts. The Data Sets. An R Thesaurus. References.

Notă biografică

Richard E. Plant received his Ph.D. in Theoretical and Applied Mechanics from Cornell University in 1975. After receiving his Ph.D., he joined the Mathematics Department at the University of California, Davis. Recognizing the opportunity to work with researchers at one of the world's leading agricultural institutions, he transferred his research effort from nerve membrane modeling to problems in agriculture.


He has received awards from the Division of Agriculture and Natural Resources of the University of California and hte American Society of Agronomy for his work in the application of academic research methods to the resolution of important agricultural problems. He was awarded a Fulbright Fellowship to carry out research in rice production in Uruguay, some of which serves as one of the case studies in his book. He is a Professor Emeritus of Biological and Agricultural Engineering and Plant Sciences at the University of California, Davis. His research interests include the application of systems analysis, geographic information systems, and statistical models to landscape level problems in crop production and resource management.