Learning R for Geospatial Analysis:
This book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers, educators, and students who work with spatial data and who are interested in expanding their capabilities through programming. The book assumes familiarity with...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Olton Birmingham
Packt Publishing
2014
|
| Schlagworte: | |
| Online-Zugang: | KUBA1 |
| Zusammenfassung: | This book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers, educators, and students who work with spatial data and who are interested in expanding their capabilities through programming. The book assumes familiarity with the basic geographic information concepts (such as spatial coordinates), but no prior experience with R and/or programming is required. By focusing on R exclusively, you will not need to depend on any external software-a working installation of R is all that is necessary to begin |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (380 pages) |
| ISBN: | 9781783984374 9781783984367 |
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Datensatz im Suchindex
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| author | Dorman, Michael |
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| discipline | Allgemeines |
| format | Electronic eBook |
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| id | DE-604.BV043617048 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:30:55Z |
| institution | BVB |
| isbn | 9781783984374 9781783984367 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029031107 |
| oclc_num | 899134729 |
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| physical | 1 online resource (380 pages) |
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| publishDate | 2014 |
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| publisher | Packt Publishing |
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| spelling | Dorman, Michael Verfasser aut Learning R for Geospatial Analysis Olton Birmingham Packt Publishing 2014 © 2014 1 online resource (380 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources This book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers, educators, and students who work with spatial data and who are interested in expanding their capabilities through programming. The book assumes familiarity with the basic geographic information concepts (such as spatial coordinates), but no prior experience with R and/or programming is required. By focusing on R exclusively, you will not need to depend on any external software-a working installation of R is all that is necessary to begin Geospatial data Spatial analysis (Statistics) Geoinformationssystem (DE-588)4261642-6 gnd rswk-swf Open Source (DE-588)4548264-0 gnd rswk-swf Geoinformationssystem (DE-588)4261642-6 s Open Source (DE-588)4548264-0 s 1\p DE-604 Erscheint auch als Druck-Ausgabe Dorman, Michael Learning R for Geospatial Analysis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Dorman, Michael Learning R for Geospatial Analysis Geospatial data Spatial analysis (Statistics) Geoinformationssystem (DE-588)4261642-6 gnd Open Source (DE-588)4548264-0 gnd |
| subject_GND | (DE-588)4261642-6 (DE-588)4548264-0 |
| title | Learning R for Geospatial Analysis |
| title_auth | Learning R for Geospatial Analysis |
| title_exact_search | Learning R for Geospatial Analysis |
| title_full | Learning R for Geospatial Analysis |
| title_fullStr | Learning R for Geospatial Analysis |
| title_full_unstemmed | Learning R for Geospatial Analysis |
| title_short | Learning R for Geospatial Analysis |
| title_sort | learning r for geospatial analysis |
| topic | Geospatial data Spatial analysis (Statistics) Geoinformationssystem (DE-588)4261642-6 gnd Open Source (DE-588)4548264-0 gnd |
| topic_facet | Geospatial data Spatial analysis (Statistics) Geoinformationssystem Open Source |
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