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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...
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Lenguaje: | eng |
Publicado: |
Packt Publ.
2014
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Acceso en línea: | http://cds.cern.ch/record/1986938 |
_version_ | 1780945473191804928 |
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author | Dorman, Michael |
author_facet | Dorman, Michael |
author_sort | Dorman, Michael |
collection | CERN |
description | 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. |
id | cern-1986938 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
publisher | Packt Publ. |
record_format | invenio |
spelling | cern-19869382021-04-21T20:35:00Zhttp://cds.cern.ch/record/1986938engDorman, MichaelLearning R for geospatial analysisComputing and ComputersThis 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.Packt Publ.oai:cds.cern.ch:19869382014 |
spellingShingle | Computing and Computers Dorman, Michael Learning R for geospatial analysis |
title | 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 | Computing and Computers |
url | http://cds.cern.ch/record/1986938 |
work_keys_str_mv | AT dormanmichael learningrforgeospatialanalysis |