Uhlenkott, Katja; Vink, Annemiek; Kuhn, Thomas; Martínez Arbizu, Pedro (2020): Meiofauna distribution predicted with random forest regression in the German exploration area for polymetallic nodule mining, Clarion Clipperton Fracture Zone, Pacific [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.912216, In: Uhlenkott, K et al. (2020): Meiofauna abundance and distribution predicted with random forest regression in the German exploration area for polymetallic nodule mining, Clarion Clipperton Fracture Zone, Pacific [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.912217
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Abstract:
The dataset contains predicted distributions computed for overall meiofauna abundance, diversity (Simpson's Index D and Evenness E), richness (ntax) and individual taxa using random forest regressions. Furthermore, a habitatmap is provided, dividing the area based on k-means clustering of combined predicted distributions, bathymetry and backscatter.
Project(s):
JPI Oceans - Ecological Aspects of Deep-Sea Mining (JPIO-MiningImpact)
Coverage:
Latitude: 11.928412 * Longitude: -117.445666
Event(s):
Comment:
The spatial layers are saved as grid-files, being the standard format of the R-package "raster" (https://cran.r-project.org/web/packages/raster/index.html).
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
8.9 MBytes