Species density models from opportunistic citizen science data-Reference-Cited by-同舟云学术

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Species density models from opportunistic citizen science data

Published:2021-08-17 Issue:10 Volume:12 Page:1911-1925
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Ver Hoef Jay M.¹^ORCID,Johnson Devin¹^ORCID,Angliss Robyn¹,Higham Matt²

Affiliation:

1. Marine Mammal Laboratory NOAA‐NMFS Alaska Fisheries Science Center Seattle WA USA

2. Department of Statistics St. Lawrence University Canton NY USA

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13679

Reference59 articles.

1. Standards for distribution models in biodiversity assessments

2. Species distribution models and ecological theory: A critical assessment and some possible new approaches

3. Making better biogeographical predictions of species' distributions

4. LiDAR based prediction of forest biomass using hierarchical models with spatially varying coefficients

5. Gaussian predictive process models for large spatial data sets

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1. Treating gaps and biases in biodiversity data as a missing data problem;Biological Reviews;2024-08-08

2. Estimating sampling biases in citizen science datasets;Ibis;2024-06-28

3. An Application of Spatio-Temporal Modeling to Finite Population Abundance Prediction;Journal of Agricultural, Biological and Environmental Statistics;2023-08-07

4. Increasing Trust in New Data Sources: Crowdsourcing Image Classification for Ecology;International Statistical Review;2023-05-21

5. Spatial Bayesian models project shifts in suitable habitat for Pacific Northwest tree species under climate change;Ecosphere;2023-03

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