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bwimage: A package to describe image patterns in natural structures

Currently R is the most popular software for data analyses among biologists. Here, we present bwimage, a package designed to describe patterns from black and white images. The package can be used for a wide range of applications. We implemented functions previously described in the literature to cal...

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Detalles Bibliográficos
Autores principales: Biagolini-Jr., Carlos, Macedo, Regina H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7020331/
https://www.ncbi.nlm.nih.gov/pubmed/32110388
http://dx.doi.org/10.12688/f1000research.19801.3
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author Biagolini-Jr., Carlos
Macedo, Regina H.
author_facet Biagolini-Jr., Carlos
Macedo, Regina H.
author_sort Biagolini-Jr., Carlos
collection PubMed
description Currently R is the most popular software for data analyses among biologists. Here, we present bwimage, a package designed to describe patterns from black and white images. The package can be used for a wide range of applications. We implemented functions previously described in the literature to calculate parameters designed originally, but not exclusively, for vegetation structures. Additionally, we propose a new parameter: the aggregation index. We demonstrate applications for field work, providing examples that range from calculation of canopy openness, description of patterns in vertical vegetation structure, to patterns in bird nest structure. We provide advice and illustrated examples of how to produce high quality images for analyses.
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spelling pubmed-70203312020-02-26 bwimage: A package to describe image patterns in natural structures Biagolini-Jr., Carlos Macedo, Regina H. F1000Res Software Tool Article Currently R is the most popular software for data analyses among biologists. Here, we present bwimage, a package designed to describe patterns from black and white images. The package can be used for a wide range of applications. We implemented functions previously described in the literature to calculate parameters designed originally, but not exclusively, for vegetation structures. Additionally, we propose a new parameter: the aggregation index. We demonstrate applications for field work, providing examples that range from calculation of canopy openness, description of patterns in vertical vegetation structure, to patterns in bird nest structure. We provide advice and illustrated examples of how to produce high quality images for analyses. F1000 Research Limited 2020-04-14 /pmc/articles/PMC7020331/ /pubmed/32110388 http://dx.doi.org/10.12688/f1000research.19801.3 Text en Copyright: © 2020 Biagolini-Jr. C and Macedo RH http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Biagolini-Jr., Carlos
Macedo, Regina H.
bwimage: A package to describe image patterns in natural structures
title bwimage: A package to describe image patterns in natural structures
title_full bwimage: A package to describe image patterns in natural structures
title_fullStr bwimage: A package to describe image patterns in natural structures
title_full_unstemmed bwimage: A package to describe image patterns in natural structures
title_short bwimage: A package to describe image patterns in natural structures
title_sort bwimage: a package to describe image patterns in natural structures
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7020331/
https://www.ncbi.nlm.nih.gov/pubmed/32110388
http://dx.doi.org/10.12688/f1000research.19801.3
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