Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på forfatter "O'Hara, Robert B."

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    • Data Integration for Species Distribution Models 

      Iversen, Lyder Bøe (Master thesis, 2020)
      I denne oppgaven blir fordelingen av ferskvannsfisk i norske innsjøer estimert ved å bruke data fra to standardiserte datasett og ett opportunistisk datasett sammen med miljøbaserte kovariater til å lage en kombinert modell. ...

    • Insights into the quantification and reporting of model-related uncertainty across different disciplines 

      Simmonds, Emily Grace; Dunn-Sigouin, Etienne; Adjei, Kwaku Peprah; Andersen, Christoffer Wold; Aspheim, Janne Cathrin Hetle; Battistin, Claudia; Bulso, Nicola; Christensen, Hannah M.; Cretois, Benjamin; Cubero, Ryan John Abat; Davidovich, Ivan Andres; Dickel, Lisa; Dunn, Benjamin Adric; Dyrstad, Karin; Einum, Sigurd; Giglio, Donata; Gjerløw, Haakon; Godefroidt, Amélie; González-Gil, Ricardo; Gonzalo Cogno, Soledad; Große, Fabian; Halloran, Paul; Jensen, Mari Fjalstad; Kennedy, John James; Langsæther, Peter Egge; Laverick, Jack H; Lederberger, Debora; Li, Camille; Mandeville, Elizabeth G; Mandeville, Caitlin; Moe, Espen; Schröder, Tobias Navarro; Nunan, David; Sicacha-Parada, Jorge; Simpson, Melanie Rae; Skarstein, Emma Sofie; Spensberger, Clemens; Stevens, Richard; Subramanian, Aneesh C.; Svendsen, Lea; Theisen, Ole Magnus; Watret, Connor; O'Hara, Robert B. (Peer reviewed; Journal article, 2022)
      Quantifying uncertainty associated with our models is the only way we can express how much we know about any phenomenon. Incomplete consideration of model-based uncertainties can lead to overstated conclusions with real-world ...

    • Integrating data from different survey types for population monitoring of an endangered species: the case of the Eld’s deer 

      Bowler, Diana Elizabeth; Nilsen, Erlend Birkeland; Bischof, Richard; O'Hara, Robert B.; Yu, Thin Thin; Oo, Tun; Aung, Myint; Linnell, John Durrus (Journal article; Peer reviewed, 2019)
      Despite its value for conservation decision-making, we lack information on population abundances for most species. Because establishing large-scale monitoring schemes is rarely feasible, statistical methods that combine ...

    • 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 ...