January 01, 2024 preprint Open access Generating Pseudo-Absences in the Ecological Space Improves the Performance of Species Distribution Models SSRN Electronic Journal DOI: 10.2139/ssrn.4838543 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 1 References 2 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access sampbias , a method for quantifying geographic sampling biases in species distribution data 2020 Ecography article Environmental Science Species Distribution and Climate Change Open access 129 citations sampbias, a method for quantifying geographic sampling biases in species distribution data 2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Environmental Science Species Distribution and Climate Change Open access 21 citations 2 results