Results 81 to 90 of about 21,991 (210)

Modelling tools to predict potential distribution of forest species : using Pico Island and the Azores as study case [PDF]

, 2018
Tese de Doutoramento, Biologia, 16 de novembro de 2018, Universidade dos Açores.Os modelos de distribuição de espécies (SDMs) têm sido aplicados em diferentes áreas da ecologia, nomeadamente para modelar a distribuição potencial de espécies invasoras ...
Silva, Lara Sofia Pereira Dutra da
core  

Lung Cancer Prevalence in Virginia: A Spatial Zipcode-Level Analysis via INLA

Current Oncology
Background: Examining lung cancer (LC) cases in Virginia (VA) is essential due to its significant public health implications. By studying demographic, environmental, and socioeconomic variables, this paper aims to provide insights into the underlying ...
Indranil Sahoo, Jinlei Zhao, Xiaoyan Deng, M. Cockburn, Kathy Tossas, Robert A. Winn, Dipankar Bandyopadhyay   +6 more
semanticscholar   +1 more source

Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT Spatial misalignment arises when datasets are aggregated or collected at different spatial scales, leading to information loss. We develop a Bayesian disaggregation framework that links misaligned data to a continuous‐domain model through an iteratively linearised integration scheme implemented with the Integrated Nested Laplace Approximation (
Man Ho Suen, Mark Naylor, Finn Lindgren
wiley   +1 more source

Statistical stream temperature modelling with SSN and INLA: an introduction for conservation practitioners

Canadian Journal of Fisheries and Aquatic Sciences
Statistical stream temperature models predicting the fine-scale spatial distribution of water temperatures (i.e., “thermalscape”) can guide aquatic species recovery and habitat restoration efforts.
Daniel P. Struthers, L. F. Gutowsky, Tim C.D. Lucas, N. Mochnacz, Christopher M. Carli, Mark K. Taylor   +5 more
semanticscholar   +1 more source

Spatio-temporal predictions of COVID-19 test positivity in Uppsala County, Sweden: a comparative approach

Scientific Reports, 2022
Previous spatio-temporal COVID-19 prediction models have focused on the prediction of subsequent number of cases, and have shown varying accuracy and lack of high geographical resolution.
Vera van Zoest, Georgios Varotsis, Uwe Menzel, Anders Wigren, Beatrice Kennedy, Mats Martinell, Tove Fall   +6 more
doaj   +1 more source

A standardization procedure to incorporate variance partitioning‐based priors in latent Gaussian models

Scandinavian Journal of Statistics, Volume 53, Issue 1, Page 364-394, March 2026.
ABSTRACT Latent Gaussian models (LGMs) are a subset of Bayesian Hierarchical models where Gaussian priors, conditional on variance parameters, are assigned to all effects in the model. LGMs are employed in many fields for their flexibility and computational efficiency. However, practitioners find prior elicitation on the variance parameters challenging
Luisa Ferrari, Massimo Ventrucci
wiley   +1 more source

State‐space models and inference approaches for aquatic animal tracking with passive acoustic telemetry and biologging sensors

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 418-434, February 2026.
Abstract Passive acoustic telemetry systems are widely deployed to track animals in aquatic environments. However, investments in integrative methods of data analysis have remained comparatively limited, with current workflows typically considering individual movements separately from space use, home ranges and residency.
Edward Lavender, Andreas Scheidegger, Helen Moor, Carlo Albert   +3 more
wiley   +1 more source

Where Are the Important Hotspots for Forest Biodiversity? A Detailed Spatial Analysis for the Australian State of Victoria

Austral Ecology, Volume 51, Issue 2, February 2026.
ABSTRACT Identifying areas of high biodiversity value is critical for effective conservation. Similarly, identifying gaps in existing protected area networks is fundamental to determining where new areas are needed to better conserve biodiversity. We conducted a spatial prioritisation analysis for forest and woodland‐dependent species across Victoria ...
Chris Taylor, David Lindenmayer
wiley   +1 more source

Regional prevalence and spatial modeling of hypertension in South Africa

Open Health
In 2000, hypertension was the cause of nearly 47,000 deaths in South Africa. Since then, its prevalence has increased from 25% to over 40% of the population.
Rudasingwa Guillaume, Cho Sung-il, Ishimwe Nancy Clemence   +2 more
doaj   +1 more source

An Extended Laplace Approximation Method for Bayesian Inference of Self-Exciting Spatial-Temporal Models of Count Data [PDF]

, 2017
Self-Exciting models are statistical models of count data where the probability of an event occurring is influenced by the history of the process. In particular, self-exciting spatio-temporal models allow for spatial dependence as well as temporal self ...
Clark, Nicholas, Dixon, Philip, Dixon, Philip   +2 more
core   +2 more sources