An introduction to R for spatial analysis & mapping
This is a new edition of the accessible and student-friendly ′how to′ for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from ‘zero to hero’, updating the now standard text to further enable practi...
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| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Los Angeles
Sage
2019
|
| Ausgabe: | Second edition |
| Schriftenreihe: | GIS & spatial analytics
|
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MARC
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| 490 | 0 | |a GIS & spatial analytics | |
| 520 | 3 | |a This is a new edition of the accessible and student-friendly ′how to′ for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from ‘zero to hero’, updating the now standard text to further enable practical R applications in GIS, spatial analyses, spatial statistics, web-scraping and more. Revised and updated, each chapter includes: example data and commands to explore hands-on; scripts and coding to exemplify specific functionality; self-contained exercises for students to work through; embedded code within the descriptive text. The new edition includes detailed discussion of new and emerging packages within R like sf, ggplot, tmap, making it the go to introduction for all researchers collecting and using data with location attached. This is the introduction to the use of R for spatial statistical analysis, geocomputation, and GIS for all researchers - regardless of discipline - collecting and using data with location attached. | |
| 650 | 4 | |a Social sciences |x Methodology | |
| 650 | 4 | |a Spatial analysis (Statistics) | |
| 650 | 4 | |a Population geography |x Statistical methods | |
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Datensatz im Suchindex
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| author | Brunsdon, Chris Comber, Lex |
| author_GND | (DE-588)171743814 (DE-588)1069224200 |
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| bvnumber | BV045113044 |
| classification_rvk | RB 10105 RB 10104 ST 250 RB 10103 |
| ctrlnum | (OCoLC)1081387614 (DE-599)HBZHT019742263 |
| discipline | Informatik Geographie |
| edition | Second edition |
| format | Book |
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| id | DE-604.BV045113044 |
| illustrated | Illustrated |
| indexdate | 2024-12-24T06:49:43Z |
| institution | BVB |
| isbn | 9781526428509 9781526428493 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030503324 |
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| physical | ix, 325 Seiten Illustrationen, Diagramme, Karten (schwarz-weiß) |
| publishDate | 2019 |
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| publisher | Sage |
| record_format | marc |
| series2 | GIS & spatial analytics |
| spelling | Brunsdon, Chris Verfasser (DE-588)171743814 aut An introduction to R for spatial analysis & mapping Chris Brunsdon and Lex Comber Second edition Los Angeles Sage 2019 ix, 325 Seiten Illustrationen, Diagramme, Karten (schwarz-weiß) txt rdacontent n rdamedia nc rdacarrier GIS & spatial analytics This is a new edition of the accessible and student-friendly ′how to′ for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from ‘zero to hero’, updating the now standard text to further enable practical R applications in GIS, spatial analyses, spatial statistics, web-scraping and more. Revised and updated, each chapter includes: example data and commands to explore hands-on; scripts and coding to exemplify specific functionality; self-contained exercises for students to work through; embedded code within the descriptive text. The new edition includes detailed discussion of new and emerging packages within R like sf, ggplot, tmap, making it the go to introduction for all researchers collecting and using data with location attached. This is the introduction to the use of R for spatial statistical analysis, geocomputation, and GIS for all researchers - regardless of discipline - collecting and using data with location attached. Social sciences Methodology Spatial analysis (Statistics) Population geography Statistical methods R (Computer program language) Datenanalyse (DE-588)4123037-1 gnd rswk-swf Kartografie (DE-588)4029823-1 gnd rswk-swf Raumdaten (DE-588)4206012-6 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf R Programm (DE-588)4705956-4 s Raumdaten (DE-588)4206012-6 s Datenanalyse (DE-588)4123037-1 s DE-604 Kartografie (DE-588)4029823-1 s Comber, Lex Verfasser (DE-588)1069224200 aut |
| spellingShingle | Brunsdon, Chris Comber, Lex An introduction to R for spatial analysis & mapping Social sciences Methodology Spatial analysis (Statistics) Population geography Statistical methods R (Computer program language) Datenanalyse (DE-588)4123037-1 gnd Kartografie (DE-588)4029823-1 gnd Raumdaten (DE-588)4206012-6 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4029823-1 (DE-588)4206012-6 (DE-588)4705956-4 |
| title | An introduction to R for spatial analysis & mapping |
| title_auth | An introduction to R for spatial analysis & mapping |
| title_exact_search | An introduction to R for spatial analysis & mapping |
| title_full | An introduction to R for spatial analysis & mapping Chris Brunsdon and Lex Comber |
| title_fullStr | An introduction to R for spatial analysis & mapping Chris Brunsdon and Lex Comber |
| title_full_unstemmed | An introduction to R for spatial analysis & mapping Chris Brunsdon and Lex Comber |
| title_short | An introduction to R for spatial analysis & mapping |
| title_sort | an introduction to r for spatial analysis mapping |
| topic | Social sciences Methodology Spatial analysis (Statistics) Population geography Statistical methods R (Computer program language) Datenanalyse (DE-588)4123037-1 gnd Kartografie (DE-588)4029823-1 gnd Raumdaten (DE-588)4206012-6 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | Social sciences Methodology Spatial analysis (Statistics) Population geography Statistical methods R (Computer program language) Datenanalyse Kartografie Raumdaten R Programm |
| work_keys_str_mv | AT brunsdonchris anintroductiontorforspatialanalysismapping AT comberlex anintroductiontorforspatialanalysismapping |