Results 61 to 70 of about 5,509 (173)

Corrigendum to “Bayesian spatial prediction of soil organic carbon stocks in eastern DRC using INLA-SPDE and environmental covariates” [Environmental Challenges Volume 21, December 2025, 101303]

Environmental Challenges
Alain Matazi Kangela, Bitaisha Nakishuka Shukuru, Serge Mugisho Mukotanyi, Gerard Imani, Yannick Mugumaarhahama, Daniel Muhindo Iragi, Dieudonné Shamamba Bahati, Janvier Bigabwa Bashagaluke, Wivine Munyahali   +8 more
doaj   +2 more sources

A Spatially Explicit Distribution Model to Support Conservation Strategies for Isolated Small‐Ranged Species: A Case Study From Galápagos

Diversity and Distributions, Volume 32, Issue 6, June 2026.
ABSTRACT Aim This study aimed to test the effectiveness of a hierarchical, spatially explicit, Bayesian modelling framework combining Integrated Nested Laplace Approximation (INLA) with Stochastic Partial Differential Equation (SPDE) as an alternative to traditional Species Distribution Models (SDMs), particularly in cases where standard assumptions ...
Marco Gargano, Silvio Marta, Lorenzo Garizio, Paolo Gratton, Giuliano Colosimo, Glenn P. Gerber, Gregory A. Lewbart, Christian Sevilla, Gabriele Gentile   +8 more
wiley   +1 more source

Low‐intensity urban development delays the spring departures of nonbreeding migratory bird populations

Ecosphere, Volume 17, Issue 5, May 2026.
Abstract Urban areas alter the timings (phenologies) of seasonal processes for plants and animals, yet the effects on bird migration, particularly pre‐breeding migration, are not well understood. Higher temperatures, higher levels of artificial light at night, and earlier vegetation emergence in urban areas can advance spring seasonal processes ...
Carrie Ann Adams, Monika A. Tomaszewska, Geoffrey M. Henebry, Frank A. La Sorte, Kyle G. Horton   +4 more
wiley   +1 more source

Mapping Escolar (Lepidocybium flavobrunneum) in Motion: Oceanographic Forces Shaping Its Habitat in the Southwestern South Atlantic, With Insights From Fishers' Perceptions

Fisheries Oceanography, Volume 35, Issue 3, Page 445-461, May 2026.
ABSTRACT Lepidocybium flavobrunneum [Smith, 1843], commonly known as escolar, is a large pelagic species, important for global and local fisheries, particularly in the southwestern South Atlantic Ocean (SWAO), where it constitutes a significant portion of the catch.
Lucas Rodrigues, Maria Grazia Pennino, Paul Gerhard Kinas, David Conesa, Alba Fuster‐Alonso, Andrés Domingo, Rodrigo Forselledo, Federico Mas, Bruno Mourato, Rodrigo Sant'Ana, Vinni Santos Thykjaer, Raquel Virginia Marquez Marquez, Abner Ventura Alves, Mariano Cabanillas‐Torpoco, Rafael Schroeder, Luis Gustavo Cardoso   +15 more
wiley   +1 more source

Modeling Benthic Animals in Space and Time Using Bayesian Point Process With Cross Validation: The Case of Holoturians

Environmetrics, Volume 37, Issue 3, April 2026.
ABSTRACT Holothurian populations in the Mediterranean are relatively understudied, with limited knowledge of their spatial distribution, habitat preferences, and ecological dynamics, making their monitoring a key challenge for ecosystem assessment and sustainable management.
Daniele Poggio, Gian Mario Sangiovanni, Gianluca Mastrantonio, Giovanna Jona Lasinio, Edoardo Casoli, Stefano Moro, Daniele Ventura   +6 more
wiley   +1 more source

Bayesian spatio-temporal analysis of malaria prevalence in children between 2 and 10 years of age in Gabon

Malaria Journal
Background Gabon still bears significant malaria burden despite numerous efforts. To reduce this burden, policy-makers need strategies to design effective interventions.
Fabrice Mougeni, Bertrand Lell, Ngianga-Bakwin Kandala, Tobias Chirwa   +3 more
doaj   +1 more source

A Bayesian INLA-SPDE approach to spatio-temporal point-grid fusion with change-of-support and misaligned covariates

Spatial Statistics
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, Andrew Elliott, Claire Miller, Marian Scott   +3 more
openaire   +2 more sources

Causal Inference for Geostatistical Data Using an INLA‐based Spatial Propensity Score

Environmetrics, Volume 37, Issue 3, April 2026.
ABSTRACT In this paper, we propose a Bayesian approach for spatial causal inference based on combining spatial propensity scoring with Integrated Nested Laplace Approximation. The method models both local and spillover exposure effects via multiple likelihoods and treats counterfactuals as missing data, allowing inference also for non‐Gaussian outcomes.
Chiara Di Maria, Alessandro Albano, Mariangela Sciandra, Antonella Plaia   +3 more
wiley   +1 more source

Spatio-temporal modeling of particulate matter concentration through the SPDE approach [PDF]

, 2012
In this work, we consider a hierarchical spatio-temporal model for particulate matter (PM) concentration in the North-Italian region Piemonte. The model involves a Gaussian Field (GF), affected by a measurement error, and a state process characterized by
Simpson, Daniel, Cameletti, M., Rue, H., Lindgren, Finn; id_orcid, Lindgren, Finn, CAMELETTI, Michela   +5 more
core   +2 more sources

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