Spatial analysis with R: statistics, visualization, and computational methods
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 intellige...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
[2021]
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| Ausgabe: | Second edtion |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | 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. |
| Beschreibung: | xix, 333 Seiten Illustrationen, Diagramme |
| ISBN: | 0367860856 9780367860851 |
Internformat
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| 520 | 3 | |a 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. | |
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Datensatz im Suchindex
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| author | Oyana, Tonny J. |
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| id | DE-604.BV047142549 |
| illustrated | Illustrated |
| index_date | 2024-07-03T16:35:57Z |
| indexdate | 2024-07-10T09:03:49Z |
| institution | BVB |
| isbn | 0367860856 9780367860851 |
| language | English |
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| physical | xix, 333 Seiten Illustrationen, Diagramme |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | CRC Press |
| record_format | marc |
| spelling | Oyana, Tonny J. Verfasser (DE-588)1082383678 aut Spatial analysis with R statistics, visualization, and computational methods Tonny J. Oyana Second edtion Boca Raton ; London ; New York CRC Press [2021] xix, 333 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier 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. R Programm (DE-588)4705956-4 gnd rswk-swf Räumliche Statistik (DE-588)4386767-4 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Geoinformationssystem (DE-588)4261642-6 gnd rswk-swf Raumdaten (DE-588)4206012-6 gnd rswk-swf Geoinformationssystem (DE-588)4261642-6 s Raumdaten (DE-588)4206012-6 s Räumliche Statistik (DE-588)4386767-4 s Datenanalyse (DE-588)4123037-1 s R Programm (DE-588)4705956-4 s DE-604 B:DE-89 V:DE-601 pdf/application https://www.gbv.de/dms/tib-ub-hannover/1703297083.pdf Inhaltsverzeichnis |
| spellingShingle | Oyana, Tonny J. Spatial analysis with R statistics, visualization, and computational methods R Programm (DE-588)4705956-4 gnd Räumliche Statistik (DE-588)4386767-4 gnd Datenanalyse (DE-588)4123037-1 gnd Geoinformationssystem (DE-588)4261642-6 gnd Raumdaten (DE-588)4206012-6 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4386767-4 (DE-588)4123037-1 (DE-588)4261642-6 (DE-588)4206012-6 |
| title | Spatial analysis with R statistics, visualization, and computational methods |
| title_auth | Spatial analysis with R statistics, visualization, and computational methods |
| title_exact_search | Spatial analysis with R statistics, visualization, and computational methods |
| title_exact_search_txtP | Spatial analysis with R statistics, visualization, and computational methods |
| title_full | Spatial analysis with R statistics, visualization, and computational methods Tonny J. Oyana |
| title_fullStr | Spatial analysis with R statistics, visualization, and computational methods Tonny J. Oyana |
| title_full_unstemmed | Spatial analysis with R statistics, visualization, and computational methods Tonny J. Oyana |
| title_short | Spatial analysis with R |
| title_sort | spatial analysis with r statistics visualization and computational methods |
| title_sub | statistics, visualization, and computational methods |
| topic | R Programm (DE-588)4705956-4 gnd Räumliche Statistik (DE-588)4386767-4 gnd Datenanalyse (DE-588)4123037-1 gnd Geoinformationssystem (DE-588)4261642-6 gnd Raumdaten (DE-588)4206012-6 gnd |
| topic_facet | R Programm Räumliche Statistik Datenanalyse Geoinformationssystem Raumdaten |
| url | https://www.gbv.de/dms/tib-ub-hannover/1703297083.pdf |
| work_keys_str_mv | AT oyanatonnyj spatialanalysiswithrstatisticsvisualizationandcomputationalmethods |