| Titre : |
Spatial analysis with R: statistics, visualization, and computational methods |
| Type de document : |
livre |
| Auteurs : |
Tonny J. Oyana, Auteur |
| Mention d'édition : |
1st ed. |
| Editeur : |
Boca Raton, Florida : CRC Press |
| Année de publication : |
2015 |
| Importance : |
333 p. |
| ISBN/ISSN/EAN : |
978-0-367-53238-3 |
| Prix : |
44.99 GBP |
| Note générale : |
Le site éditeur indique : In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes. |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Spatial analysis R (Computer program language) Statistical methods Geographical information systems Spatial data |
| Note de contenu : |
Data for this textbook downloaded at : https://www.taylorfrancis.com/books/9781003021643 |
| En ligne : |
https://www.routledge.com/Spatial-Analysis-with-R-Statistics-Visualization-and-C [...] |
Spatial analysis with R: statistics, visualization, and computational methods [livre] / Tonny J. Oyana, Auteur . - 1st ed. . - Boca Raton, Florida : CRC Press, 2015 . - 333 p. ISBN : 978-0-367-53238-3 : 44.99 GBP Le site éditeur indique : In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes. Langues : Anglais ( eng) |  |
Spatial analysis with R: statistics, visualization, and computational methods (2015)
