Results 51 to 60 of about 618 (156)

A joint Bayesian space–time model to integrate spatially misaligned air pollution data in R-INLA [PDF]

, 2020
In air pollution studies, dispersion models provide estimates of concentration at grid level covering the entire spatial domain and are then calibrated against measurements from monitoring stations. However, these different data sources are misaligned in
Cameletti, M.
core   +1 more source

Estimating Velocities of Infectious Disease Spread Through Spatio‐Temporal Log‐Gaussian Cox Point Processes

International Statistical Review, EarlyView.
Summary Understanding the spread of infectious diseases such as COVID‐19 is crucial for informed decision‐making and resource allocation. A critical component of disease behaviour is the velocity with which disease spreads, defined as the rate of change between time and space.
Fernando Rodriguez Avellaneda, Jorge Mateu, Paula Moraga   +2 more
wiley   +1 more source

Bayesian spatial modelling of malaria burden in two contrasted eco-epidemiological facies in Benin (West Africa): call for localized interventions

BMC Public Health, 2022
Background Despite a global decrease in malaria burden worldwide, malaria remains a major public health concern, especially in Benin children, the most vulnerable group.
Barikissou Georgia Damien, Akoeugnigan Idelphonse Sode, Daniel Bocossa, Emmanuel Elanga-Ndille, Badirou Aguemon, Vincent Corbel, Marie-Claire Henry, Romain Lucas Glèlè Kakaï, Franck Remoué   +8 more
doaj   +1 more source

Coarse‐to‐Fine Spatial Modeling: A Scalable, Machine‐Learning‐Compatible Framework

Geographical Analysis, Volume 58, Issue 2, April 2026.
ABSTRACT This study proposes coarse‐to‐fine spatial modeling (CFSM) as a scalable and machine learning‐compatible alternative to conventional spatial process models. Unlike conventional covariance‐based spatial models, CFSM represents spatial processes using a multiscale ensemble of local models.
Daisuke Murakami, Alexis Comber, Takahiro Yoshida, Narumasa Tsutsumida, Chris Brunsdon, Tomoki Nakaya   +5 more
wiley   +1 more source

Assessing the risk of extreme precipitation in Japan through GEV distribution and spatial modeling

Journal of Hydrology: Regional Studies
Study region: Japan, characterized by diverse climatic zones and complex topography, has experienced increasing frequency and severity of extreme precipitation events in recent decades.
Zhichao Jiao, Jihui Yuan, Craig Farnham, Kazuo Emura   +3 more
doaj   +1 more source

Desempeño predictivo de R-INLA SPDE para el Mapeo Digital de Suelos

, 2021
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, Suarez, Franco Marcelo, Paccioretti, Pablo Ariel, Macchiavelli, Raul, Balzarini, Monica Graciela   +4 more
openaire   +1 more source

Arsenic and chromium topsoil levels and cancer mortality in Spain [PDF]

, 2016
Spatio-temporal cancer mortality studies in Spain have revealed patterns for some tumours which display a distribution that is similar across the sexes and persists over time.
Alejandro Bel-Lan, Gonzalo López-Abente, Iván Martín-Méndez, Juan F. Locutura, Olivier Núñez, Pablo Fernández-Navarro   +5 more
core   +3 more sources

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

Comparison of approaches to interpolating climate observations in steep terrain with low-density gauging networks [PDF]

, 2019
The accuracy of hydrological assessments in mountain regions is often hindered by the low density of gauges coupled with complex spatial variations in climate. Increasingly, spatial datasets (i.e. satellite and other products) and new computational tools
Cameletti, Michela
core   +1 more source

Brown Bear (Ursus arctos) Field Sign Monitoring for 40 Years (1976–2015) in Northern Hokkaido, Japan, During a Wildlife Management Policy Shift

Ecological Research, Volume 41, Issue 2, March 2026.
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, Kanzi M. Tomita, Hiroto Takinami, Taiki Ito, Muku Tsujino, Kazuaki Ikeda, Yu Endo, Shiho Furumaki, Takuya Ono, Nobuo Ishiyama   +9 more
wiley   +1 more source