Results 71 to 80 of about 4,738 (165)
hrue/r-inla: This is the public repository for the r-inla project
This is the public repository for the r-inla ...
Niekerk, Janet van +3 more
core
We propose a spatio-temporal data-fusion framework for point data and gridded data with variables observed on different spatial supports. A latent Gaussian field with a Matérn-SPDE prior provides a continuous space representation, while source-specific observation operators map observations to both point measurements and gridded averages, addressing ...
Weiyue Zheng +3 more
openaire +2 more sources
Long‐term (1976–2015) field sign monitoring of brown bears in northern Hokkaido, Japan, yielded 2421 records (feeding signs, tracks, scats) along 9890 km of survey routes. The digitized spatiotemporal dataset provides insights into population dynamics, habitat use, and feeding behavior across a major wildlife management policy shift.
Hino Takafumi +9 more
wiley +1 more source
ABSTRACT Aim For species with narrow ranges or low population sizes, a deficiency of species occurrence records can limit the capacity to build accurate species distribution models (SDMs). Model‐based integration of data from multiple sources has been offered as a solution to improve predictions of species' distributions at large scales, especially for
Jussi Mäkinen +2 more
wiley +1 more source
Where Is the Clean Air? A Bayesian Decision Framework for Personalised Cyclist Route Selection Using R-INLA [PDF]
Exposure to air pollution in the form of fine particulate matter (PM2.5) is known to cause diseases and cancers. Consequently, the public are increasingly seeking health warnings associated with levels of PM2.5 using mobile phone applications and ...
G Shaddick (21866612) +5 more
core +3 more sources
Mapping habitat suitability of subtidal mussels Mytilus edulis in the Dutch western Wadden SeaZenodo
Understanding environmental predictor variables of species occurrence may contribute to conservation management. In this paper we test the use of a spatial binomial model, estimated with the combined INLA-SPDE method, to relate the probability of ...
Jaap van der Meer +5 more
doaj +1 more source
Desempeño predictivo de R-INLA SPDE para el Mapeo Digital de Suelos
El mapeo digital de suelos (MDS) permite describir la variabilidad espacial de una propiedad edáfica a treves de modelos de predicción espacial que explican la relación que existe entre la variable de interés y covariables sitio-especificas. Entre los modelos estadísticos más incipientes en aplicaciones de MDS está la regresión bayesiana ajustada con ...
Giannini Kurina, Franca +4 more
openaire +1 more source
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
Patterns and Drivers of Pest and Disease Occurrence in UK Treescapes
Tree pests and diseases can be very damaging to natural and commercial forests. We studied how the risk of tree pests and diseases varies across mainland Great Britain and explored how factors such as urbanisation and recreational visits affect the level of risk in different places.
Peter S. Stewart +7 more
wiley +1 more source
Proximity to seabird colonies and water availability shape moss distributions in Antarctica
Understanding species distributions across Antarctica is crucial for biodiversity conservation under climate change, but continental‐scale analyses of key terrestrial species remain scarce. Here, we modelled distributions of 28 moss species across Antarctica using log‐Gaussian Cox process models and environmental covariates including topographic ...
Gabrielle Koerich +4 more
wiley +1 more source

