On the use of R programming language in the analyses of spatial data

R is a powerful and increasingly popular programming language with strong graphical and presentation features and large expanŽdability. Although primarily intended for statistical computing, R has paved its way to the field of GIS through the development of specialized extension packages. I...

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Autores principales:	Milan Kobal, Andrej Ceglar, Klemen Eler, Barbara Medved-Cvikl, Luka Honzak, Primož Simončič, David Hladnik
Formato:	article
Lenguaje:	DE EN ES FR SL
Publicado:	Slovenian Forestry Institute 2013
Materias:	Forestry SD1-669.5 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/4755446dbb9048e1940a6fcc0fc6690a
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id	oai:doaj.org-article:4755446dbb9048e1940a6fcc0fc6690a
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spelling	oai:doaj.org-article:4755446dbb9048e1940a6fcc0fc6690a2021-11-15T12:33:22ZOn the use of R programming language in the analyses of spatial data2335-31122335-395310.20315/ASetL.102.5https://doaj.org/article/4755446dbb9048e1940a6fcc0fc6690a2013-01-01T00:00:00Zhttp://dirros.openscience.si/IzpisGradiva.php?id=7774https://doaj.org/toc/2335-3112https://doaj.org/toc/2335-3953 R is a powerful and increasingly popular programming language with strong graphical and presentation features and large expanŽdability. Although primarily intended for statistical computing, R has paved its way to the field of GIS through the development of specialized extension packages. It offers a wide range of functions at all GIS levels: data acquisition, data manipulation, graphical reŽpresentation and quantitative analysis. The paper presents R as an open source alternative to the existing commercial GIS software. It proves especially well when advanced quantitative methods on spatial data are needed (e.g. spatial modelling). We demonstrate R capabilities through spatial analysis of forest area in Snežnik (South Slovenia), where the possibilities of data import, conversion and export into various GIS formats and possibilities of geostatistics, spatial modelling and spatial visualization are demonstrated.Milan KobalAndrej CeglarKlemen ElerBarbara Medved-CviklLuka HonzakPrimož SimončičDavid HladnikSlovenian Forestry InstitutearticleForestrySD1-669.5Environmental sciencesGE1-350DEENESFRSLActa Silvae et Ligni, Vol 102, Pp 55-62 (2013)
institution	DOAJ
collection	DOAJ
language	DE EN ES FR SL
topic	Forestry SD1-669.5 Environmental sciences GE1-350
spellingShingle	Forestry SD1-669.5 Environmental sciences GE1-350 Milan Kobal Andrej Ceglar Klemen Eler Barbara Medved-Cvikl Luka Honzak Primož Simončič David Hladnik On the use of R programming language in the analyses of spatial data
description	R is a powerful and increasingly popular programming language with strong graphical and presentation features and large expanŽdability. Although primarily intended for statistical computing, R has paved its way to the field of GIS through the development of specialized extension packages. It offers a wide range of functions at all GIS levels: data acquisition, data manipulation, graphical reŽpresentation and quantitative analysis. The paper presents R as an open source alternative to the existing commercial GIS software. It proves especially well when advanced quantitative methods on spatial data are needed (e.g. spatial modelling). We demonstrate R capabilities through spatial analysis of forest area in Snežnik (South Slovenia), where the possibilities of data import, conversion and export into various GIS formats and possibilities of geostatistics, spatial modelling and spatial visualization are demonstrated.
format	article
author	Milan Kobal Andrej Ceglar Klemen Eler Barbara Medved-Cvikl Luka Honzak Primož Simončič David Hladnik
author_facet	Milan Kobal Andrej Ceglar Klemen Eler Barbara Medved-Cvikl Luka Honzak Primož Simončič David Hladnik
author_sort	Milan Kobal
title	On the use of R programming language in the analyses of spatial data
title_short	On the use of R programming language in the analyses of spatial data
title_full	On the use of R programming language in the analyses of spatial data
title_fullStr	On the use of R programming language in the analyses of spatial data
title_full_unstemmed	On the use of R programming language in the analyses of spatial data
title_sort	on the use of r programming language in the analyses of spatial data
publisher	Slovenian Forestry Institute
publishDate	2013
url	https://doaj.org/article/4755446dbb9048e1940a6fcc0fc6690a
work_keys_str_mv	AT milankobal ontheuseofrprogramminglanguageintheanalysesofspatialdata AT andrejceglar ontheuseofrprogramminglanguageintheanalysesofspatialdata AT klemeneler ontheuseofrprogramminglanguageintheanalysesofspatialdata AT barbaramedvedcvikl ontheuseofrprogramminglanguageintheanalysesofspatialdata AT lukahonzak ontheuseofrprogramminglanguageintheanalysesofspatialdata AT primozsimoncic ontheuseofrprogramminglanguageintheanalysesofspatialdata AT davidhladnik ontheuseofrprogramminglanguageintheanalysesofspatialdata
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On the use of R programming language in the analyses of spatial data

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