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doi: 10.1111/2041-210x.13583 , 10.1101/2021.02.09.430391 , 10.5281/zenodo.7081753 , 10.5281/zenodo.7081752 , 10.5167/uzh-205477
pmid: 34262682
pmc: PMC8252722
handle: 11368/2980231 , 20.500.14243/400459 , 10281/324412 , 11388/348643 , 2078.1/254199 , 10138/330757 , 11572/304627 , 10449/67542 , 11573/1540858 , 11585/822408
doi: 10.1111/2041-210x.13583 , 10.1101/2021.02.09.430391 , 10.5281/zenodo.7081753 , 10.5281/zenodo.7081752 , 10.5167/uzh-205477
pmid: 34262682
pmc: PMC8252722
handle: 11368/2980231 , 20.500.14243/400459 , 10281/324412 , 11388/348643 , 2078.1/254199 , 10138/330757 , 11572/304627 , 10449/67542 , 11573/1540858 , 11585/822408
Abstract Ecosystem heterogeneity has been widely recognized as a key ecological indicator of several ecological functions, diversity patterns and change, metapopulation dynamics, population connectivity or gene flow. In this paper, we present a new R package— rasterdiv —to calculate heterogeneity indices based on remotely sensed data. We also provide an ecological application at the landscape scale and demonstrate its power in revealing potentially hidden heterogeneity patterns. The rasterdiv package allows calculating multiple indices, robustly rooted in Information Theory, and based on reproducible open‐source algorithms.
570, UFSP13-8 Global Change and Biodiversity, Evolution, ecological informatic, 340 Law, 610 Medicine & health, satellite imagery, 85 satellite imagery, 10231 Department of Astrophysics, Modelling, ITC-HYBRID, modelling, ecological informatics, remote sensing, 510 Mathematics, 2302 Ecological Modeling, Behavior and Systematics, Settore BIO/07 - ECOLOGIA, biodiversity; ecological informatics; modelling; remote sensing; satellite imagery, biodiversity, Ecology, Ecological informatics, Spatial Heterogeneity, Modeling, 500, Satellite imagery, modeling, biodiversity, ecological informatics, modelling, remote sensing, satellite imagery., Biodiversity, Remote sensing, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, 10123 Institute of Mathematics, Ecological Modelling, 10122 Institute of Geography, 1105 Ecology, Evolution, Behavior and Systematics, biodiversity; ecological informatics; modeling; remote sensing; satellite imagery, ITC-ISI-JOURNAL-ARTICLE, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Geosciences, biodiversity; ecological informatics; modelling; remote sensing; satellite imagery;
570, UFSP13-8 Global Change and Biodiversity, Evolution, ecological informatic, 340 Law, 610 Medicine & health, satellite imagery, 85 satellite imagery, 10231 Department of Astrophysics, Modelling, ITC-HYBRID, modelling, ecological informatics, remote sensing, 510 Mathematics, 2302 Ecological Modeling, Behavior and Systematics, Settore BIO/07 - ECOLOGIA, biodiversity; ecological informatics; modelling; remote sensing; satellite imagery, biodiversity, Ecology, Ecological informatics, Spatial Heterogeneity, Modeling, 500, Satellite imagery, modeling, biodiversity, ecological informatics, modelling, remote sensing, satellite imagery., Biodiversity, Remote sensing, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, 10123 Institute of Mathematics, Ecological Modelling, 10122 Institute of Geography, 1105 Ecology, Evolution, Behavior and Systematics, biodiversity; ecological informatics; modeling; remote sensing; satellite imagery, ITC-ISI-JOURNAL-ARTICLE, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Geosciences, biodiversity; ecological informatics; modelling; remote sensing; satellite imagery;
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 41 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
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