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: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Abingdon, Oxon
CRC Press
[2021]
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| Ausgabe: | Second edition |
| Schlagworte: | |
| Online-Zugang: | URL des Erstveröffentlichers |
| 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. New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data mining This second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences |
| Beschreibung: | "First edition published 2015." |
| Beschreibung: | 1 online resource |
| ISBN: | 9781003021643 1003021646 9781000173451 1000173453 9781000173475 100017347X 9781000173468 1000173461 |
| DOI: | 10.4324/9781003021643 |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:10:39Z |
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| isbn | 9781003021643 1003021646 9781000173451 1000173453 9781000173475 100017347X 9781000173468 1000173461 |
| language | English |
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| spelling | Oyana, Tonny J. Verfasser aut Spatial analysis with R statistics, visualization, and computational methods Tonny J. Oyana Second edition Abingdon, Oxon CRC Press [2021] 1 online resource txt rdacontent c rdamedia cr rdacarrier "First edition published 2015." 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. New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data mining This second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences MATHEMATICS / Probability & Statistics / General / bisacsh SCIENCE / Earth Sciences / General / bisacsh TECHNOLOGY / Environmental Engineering & Technology / bisacsh Spatial analysis (Statistics) https://doi.org/10.4324/9781003021643 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Oyana, Tonny J. Spatial analysis with R statistics, visualization, and computational methods MATHEMATICS / Probability & Statistics / General / bisacsh SCIENCE / Earth Sciences / General / bisacsh TECHNOLOGY / Environmental Engineering & Technology / bisacsh Spatial analysis (Statistics) |
| 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 | MATHEMATICS / Probability & Statistics / General / bisacsh SCIENCE / Earth Sciences / General / bisacsh TECHNOLOGY / Environmental Engineering & Technology / bisacsh Spatial analysis (Statistics) |
| topic_facet | MATHEMATICS / Probability & Statistics / General / bisacsh SCIENCE / Earth Sciences / General / bisacsh TECHNOLOGY / Environmental Engineering & Technology / bisacsh Spatial analysis (Statistics) |
| url | https://doi.org/10.4324/9781003021643 |
| work_keys_str_mv | AT oyanatonnyj spatialanalysiswithrstatisticsvisualizationandcomputationalmethods |