Titre : | Spatial Data Analysis in Ecology and Agriculture Using R |
Auteurs : | Richard E. Plant |
Type de document : | Livre - Rapport |
Mention d'édition : | 2e ed. |
Editeur : | Boca Raton [USA] : CRC Press, 2019 |
ISBN/ISSN/EAN : | 978-0-367-73232-5 |
Format : | 666 p. |
Index. décimale : | SVI/Mathématiques (SVI/Mathématiques) |
Sujet : |
Agrovoc Analyse de données ; Écologie ; Agriculture ; EnvironnementMots-clés libres Langage de programmation R ; Mathématiques |
Résumé : |
de l’Éditeur :
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. This new edition : - 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 completerly revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods, - Updates its coverage of R software including newly introduced packages. 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, exporatory and confirmatory data analysis, and drawing scientific conclusions. |
Exemplaires (1)
Localisation | Section | Cote | Code-barres | Support | Disponibilité |
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@rchipel | SVI | SVI/Mathématiques 09718 | 3020530 | Document imprimé | Disponible |