Blar i NTNU Open på forfatter "Mostert, Philip Stanley"
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Bayesian species distribution models integrate presence-only and presence–absence data to predict deer distribution and relative abundance
Morera-Pujol, Virginia; Mostert, Philip Stanley; Murphy, Kilian J.; Burkitt, Tim; Coad, Barry; McMahon, Barry J.; Nieuwenhuis, Maarten; Morelle, Kevin; Ward, Alastair I.; Ciuti, Simone (Peer reviewed; Journal article, 2022)Using geospatial data of wildlife presence to predict a species distribution across a geographic area is among the most common tools in management and conservation. The collection of high-quality presence–absence (PA) data ... -
PointedSDMs: An R package to help facilitate the construction of integrated species distribution models
Mostert, Philip Stanley; O'Hara, Robert B. (Peer reviewed; Journal article, 2023)Ecological data are being collected at a large scale from a multitude of different sources, each with their own sampling protocols and assumptions. As a result, the integration of disparate datasets is a rapidly growing ...