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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- 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)