Ostmann, Alexandra; Schnurr, Sarah; Martínez Arbizu, Pedro (2014): Prediction models based on 28 point samples, link to model output in text format [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.831942, In supplement to: Ostmann, A et al. (2014): Marine Environment Around Iceland: Hydrography, Sediments and First Predictive Models of Icelandic Deep-sea Sediment Characteristics. Polar Research Special Issue, Polish Polar Research, 35(2), https://doi.org/10.2478/popore-2014-0021
Always quote citation above when using data! You can download the citation in several formats below.
Other version:
Ostmann, Alexandra; Schnurr, Sarah; Martínez Arbizu, Pedro (2014): Prediction models based on 28 point samples, links to model results in GRD format. PANGAEA, https://doi.org/10.1594/PANGAEA.831969
Ostmann, Alexandra; Schnurr, Sarah; Martínez Arbizu, Pedro (2014): Prediction models based on 28 point samples, links to model results in PNG format. PANGAEA, https://doi.org/10.1594/PANGAEA.831946
Coverage:
Latitude: 64.500000 * Longitude: -19.500000
Event(s):
Iceland * Latitude: 64.500000 * Longitude: -19.500000 * Location: Iceland * Method/Device: Multiple investigations (MULT)
Comment:
Prediction models based on 28 point samples were produced using randomForest regression and Multivariate Adaptive Regression Splines (MARS) of the 'randomForest' and 'earth' packages of the R software (http://www.r-project.org).
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
2.7 MBytes