Results 81 to 90 of about 8,734 (183)

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

Conservation Relevant Fine‐Scale Distribution and Habitat Associations of Threatened Elasmobranchs in Temperate Nearshore Waters

Aquatic Conservation: Marine and Freshwater Ecosystems, Volume 35, Issue 12, December 2025.
ABSTRACT Elasmobranchs are globally threatened and experiencing ongoing declines. Understanding threatened elasmobranch distribution is critical for developing effective marine conservation strategies. However, our knowledge of fine‐scale elasmobranch habitat association and distribution in temperate nearshore systems is limited.
C. R. Hopkins, G. Cullen, R. L. Flatt, E. E. Brooker, D. M. Bailey, N. M. Burns   +5 more
wiley   +1 more source

On the choice of the mesh for the analysis of geostatistical data using R-INLA

, 2018
Many methods used in spatial statistics are computationally demanding, and so, the development of more computationally efficient methods has received attention.
Christel Faes (413583), Yannick Vandendijck (413582), Ana Julia Righetto (6113861), Paulo Justiniano Ribeiro Jr. (7931831)   +3 more
core   +1 more source

Identifying potentially suitable and accessible refugia to mitigate impacts of an emerging disease on a rare tree

Conservation Biology, Volume 39, Issue 6, December 2025.
Abstract Identifying refugia from emerging threats is vital to ensure the persistence of rare and threatened species, but modeling habitat distribution for these species is challenging and the role of people in refuge management is rarely considered. Myrtle rust is an emerging infectious disease that represents a grave threat to the rare wetland tree ...
Sarah M. Herbert, Stephanie A. Tomscha, Hao Ran Lai, Rubianca Benavidez, Colan G. Balkwill, Pearl R. Ruston, Bethanna Jackson, Julie R. Deslippe   +7 more
wiley   +1 more source

Spatial data fusion adjusting for preferential sampling using INLA and SPDE

, 2023
Spatially misaligned data can be fused by using a Bayesian melding model that assumes that underlying all observations there is a spatially continuous Gaussian random field process.
Moraga, Paula, Zhong, Ruiman, Amaral, André Victor Ribeiro   +2 more
core   +1 more source

Efficient Likelihood and Machine‐Learning Models for Spatiotemporal Rainfall Estimation and Imputation

International Journal of Climatology, Volume 45, Issue 13, 15 November 2025.
Ireland's rainfall monitoring network provides a large spatiotemporal climate dataset, with many stations reporting missing entries during the monitoring period (1981–2010). Filling these gaps is essential for producing climate reports; however, additional consideration is required during modeling to maintain computational feasibility.
Brian O'Sullivan, Gabrielle Kelly
wiley   +1 more source

Using the SPDE approach for air quality mapping in Piemonte region [PDF]

, 2011
In this work we consider a geostatistical spatio-temporal model for PM10 concentration (particulate matter with an aerodynamic diameter of less than 10 μm) in the North-Italian region Piemonte.
CAMELETTI, Michela
core   +1 more source

Precipitation and Temperature‐Dependent Locomotor Performance Drive the Abundance of a Neotropical Lizard

Biotropica, Volume 57, Issue 6, November 2025.
We investigated how climate and ecophysiology affect the demography of the lizard Tropidurus oreadicus in the Brazilian Cerrado. While lizards were more frequently captured in the dry season, their abundance peaked during the rainy season when their locomotor performance was highest.
Raquel da Silva Acácio, Heitor Campos de Sousa, Thiago Costa Gonçalves Portelinha, Guarino Rinaldi Colli, Adriana Malvasio   +4 more
wiley   +1 more source

Technical note: Accurate, reliable, and high-resolution air quality predictions by improving the Copernicus Atmosphere Monitoring Service using a novel statistical post-processing method [PDF]

Atmospheric Chemistry and Physics
Starting from the regional air quality forecasts produced by the Copernicus Atmosphere Monitoring Service (CAMS), we propose a novel post-processing approach to improve and downscale results on a finer scale.
A. Riccio, A. Riccio, E. Chianese
doaj   +1 more source

Field-scale digital soil mapping of clay: Combining different proximal sensed data and comparing various statistical models

, 2020
Knowledge about clay fraction is important for soil management. Laboratory analysis is time consuming, however, because information is required at the topsoil (0‒0.3 m), subsurface (0.3‒0.6 m), and subsoil (0.9‒1.2 m).
Li, N, Bella, LD, Triantafilis, J ; https://orcid.org/, Arshad, M   +3 more
core   +1 more source