Open-source Tools in R for Landscape Ecology

2021-06-22 | journal article; research paper. A publication with affiliation to the University of Göttingen.

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​Open-source Tools in R for Landscape Ecology​
Nowosad, J.; Signer, J.; Graham, L. J. & Hesselbarth, M. ​ (2021) 
Current Landscape Ecology Reports6(3) pp. 97​-111​.​ DOI: https://doi.org/10.1007/s40823-021-00067-y 

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Attribution 4.0 CC BY 4.0

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Authors
Nowosad, Jakub; Signer, Johannes; Graham, Laura J.; Hesselbarth, Maximilian 
Abstract
Abstract Purpose of Review Landscape ecology, the study of the complex interactions between landscapes and ecological processes, has hugely benefited from the increase in widely available open-source software in recent years. In particular, the R programming language provides a wealth of community developed tools for landscape ecology. Recent Findings In this paper, we examine existing packages for downloading, processing and visualisation of spatial data, as well as those specifically developed for spatial ecological analysis. Additionally, we outline the results of a survey of R users within the landscape ecology community. Summary We found that landscape ecologists are generally satisfied with the functionality available within R, and that as a community they are continually further developing the functionality available. Suggested future developments include improvement of computation performance; additional methods for landscape characterisation such as surface metrics; and advanced, accessible visualisation tools.
Issue Date
22-June-2021
Journal
Current Landscape Ecology Reports 
Organization
Fakultät für Forstwissenschaften und Waldökologie ; Büsgen-Institut ; Abteilung Ökosystemmodellierung ; Abteilung Wildtierwissenschaften 
ISSN
2364-494X
eISSN
2364-494X
Language
English
Sponsor
National Centre for Earth Observation https://doi.org/10.13039/501100013341
Georg-August-Universität Göttingen (1018)

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