Integrated species distribution models: combining presence‐background data and site‐occupancy data with imperfect detection-Reference-Cited by-同舟云学术

Integrated species distribution models: combining presence‐background data and site‐occupancy data with imperfect detection

Published:2017-04 Issue:4 Volume:8 Page:420-430
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Koshkina Vira¹,Wang Yan¹,Gordon Ascelin²,Dorazio Robert M.³,White Matt⁴,Stone Lewi¹⁵

Affiliation:

1. Mathematical Science School of Science RMIT University Melbourne Vic. Australia

2. School of Global Urban, and Social Studies RMIT University Melbourne Vic. Australia

3. USGS Wetland and Aquatic Research Center Gainesville FL USA

4. Arthur Rylah Institute for Environmental Research Department of Environment, Land, Water and Planning Arthur Rylah Institute for Environmental Research Melbourne Vic. Australia

5. Biomathematics Unit Department of Zoology Faculty of Life Science Tel Aviv University Tel Aviv Israel

Funder

Australian Research Council

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12738

Reference30 articles.

1. Spatial Point Patterns

2. Point pattern modelling for degraded presence-only data over large regions

3. Predicting the Geographic Distribution of a Species from Presence-Only Data Subject to Detection Errors

4. Accounting for imperfect detection and survey bias in statistical analysis of presence‐only data

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