Next-generation camera trapping: systematic review of historic trends suggests keys to expanded research applications in ecology and conservation
ZJ Delisle, EA Flaherty, MR Nobbe… - Frontiers in Ecology …, 2021 - frontiersin.org
Camera trapping is an effective non-invasive method for collecting data on wildlife species
to address questions of ecological and conservation interest. We reviewed 2,167 camera …
to address questions of ecological and conservation interest. We reviewed 2,167 camera …
Outstanding challenges and future directions for biodiversity monitoring using citizen science data
A Johnston, E Matechou… - Methods in Ecology and …, 2023 - Wiley Online Library
There is increasing availability and use of unstructured and semi‐structured citizen science
data in biodiversity research and conservation. This expansion of a rich source of 'big …
data in biodiversity research and conservation. This expansion of a rich source of 'big …
Integrating public health surveillance and environmental data to model presence of Histoplasma in the United States
SA Hepler, KA Kaufeld, K Benedict, M Toda… - …, 2022 - journals.lww.com
Background: In the United States, the true geographic distribution of the environmental
fungus Histoplasma capsulatum remains poorly understood but appears to have changed …
fungus Histoplasma capsulatum remains poorly understood but appears to have changed …
Fast Bayesian inference for large occupancy datasets
In recent years, the study of species' occurrence has benefited from the increased
availability of large‐scale citizen‐science data. While abundance data from standardized …
availability of large‐scale citizen‐science data. While abundance data from standardized …
[PDF][PDF] multiocc: An R Package for Spatio-Temporal Occupancy Models for Multiple Species.
Spatio-temporal occupancy models are used to model the presence or absence of a species
at particular locations and times, while accounting for dependence in both space and time …
at particular locations and times, while accounting for dependence in both space and time …
Occupancy models with autocorrelated detection heterogeneity
S Hepler, B Yang - Environmental and Ecological Statistics, 2024 - Springer
Occupancy models are commonly used in statistical ecology to model binary detection/non-
detection data. These hierarchical models make a distinction between detection/non …
detection data. These hierarchical models make a distinction between detection/non …
Tailored statistical methodology for large-scale registry-based clinical data to optimize online risk prediction
GM Miller - 2023 - mediatum.ub.tum.de
Longitudinal data presents various challenges depending on the desired outcome. In this
work, for two areas, survival analysis and count models, we have shown how analyses must …
work, for two areas, survival analysis and count models, we have shown how analyses must …
Environmental Feature Correlation and Meta-analysis for Occupancy Detection-A Real-Life Assessment
Even though occupancy inference is of utmost importance for numerous real-time and real-
life applications a widely-accepted approach to predict occupancy does not exist. In this …
life applications a widely-accepted approach to predict occupancy does not exist. In this …
[PDF][PDF] Multi-season occupancy models for assessing species trends and spatio-temporal occurrence patterns
JW Doser, M Kéry - 2022 - jeffdoser.com
This vignette details spOccupancy functionality introduced in v0. 4.0 to fit multi-season
occupancy models. Throughout this vignette, we use “multi-season occupancy model” to …
occupancy models. Throughout this vignette, we use “multi-season occupancy model” to …