Accounting for spatially biased sampling effort in presence‐only species distribution modelling
Work
Year: 2014
Type: article
Abstract: Aim Presence‐only datasets represent an important source of information on species' distributions. Collections of presence‐only data, however, are often spatially biased, particularly along roads and... more
Source: Diversity and Distributions
Authors Jessica Stolar, Scott E. Nielsen
Institution University of Alberta
Cites: 68
Cited by: 160
Related to: 10
FWCI: 6.185
Citation percentile (by year/subfield): 93.49
Subfield: Ecological Modeling
Field: Environmental Science
Domain: Physical Sciences
Sustainable Development Goals Sustainable cities and communities, Life on land
Open Access status: hybrid
APC paid (est): $2,200
Funders Climate Change and Emissions Management Corporation, University of Alberta, Natural Sciences and Engineering Research Council of Canada
Grant IDS RES0019584, President's Doctoral Prize of Distinction and Queen Elizabeth II Scholarship (Doctoral), Alexander Graham Bell Canada Graduate Scholarship (Doctoral)