Results 171 to 180 of about 8,734 (183)

Spatiotemporal joint analysis of PM2.5 and Ozone in California with INLA approach.

Journal of Environmental Management
The substantial threat of concurrent air pollutants to public health is increasingly severe under climate change. To identify the common drivers and extent of spatiotemporal similarity of PM2.5 and ozone (O3), this paper proposed a log Gaussian-Gumbel ...
Jianan Pan, Kunyang He, Kai Wang, Qing Mu, Chengxiu Ling   +4 more
semanticscholar   +1 more source

High resolution 3-D mapping of soil organic carbon at field-scale with multi-source proximal sensing data fusion and INLA-SPDE

Soil organic carbon (SOC) plays an important role in the carbon cycling of terrestrial ecosystems, and smallholder quantification of soil carbon stocks also has significant contribution to greenhouse gas emission, especially in black soil areas. The objective of this study was to evaluate a strategy for assessing soil organic carbon using 3D digital ...
Wenjun Ji, Ye Hao, Baoguo Li, Yang Yan, Yuanfang Huang, Zhou Shi, Jianxin Yin, Tusheng Ren, Hu Zhou   +8 more
openaire   +1 more source

Spatiotemporal modeling of soil organic matter in the black soil area of Northeast China with INLA-SPDE and remote sensing data

Spatiotemporal variation of soil organic matter (SOM) contents was significant to research on global warming, greenhouse effect, and ecosystem health and quality. However, the spatiotemporal modeling for soil properties in most studies focused on a discrete-time calibration and validation, and faced the problems of missing observations.
Wenjun Ji, Qing Yu, Baoguo Li, Yuanfang Huang, Yang Yan   +4 more
openaire   +1 more source

Enhancing the SPDE modeling of spatial point processes with INLA, applied to wildfires. Choosing the best mesh for each database

Communications in Statistics Part B: Simulation and Computation, 2021
Pablo Juan
exaly  

Employing integrated nested laplace approximation with stochastic partial differential equation (INLA-SPDE) modeling for sub-seasonal flood prediction using a globally aggregated disaster database

Global flood reporting has generally improved over the last century, particularly as global disasterdatabases have started archiving and aggregating flood events. While these disaster databases,including EM-DAT, DFO, HANZE, and UNDRR, are helpful tools for flood analysis, they areoften incomplete in their reporting.
Bailey Magers, Nasser Najibi, Naresh Devineni   +2 more
openaire   +1 more source

Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach

Spatial Statistics, 2023
Stephen Jun Villejo, Janine B Illian, Ben Swallow   +2 more
exaly  

Multi-sensor INLA-SPDE Bayesian Flood Mapping: A United Nations Case Study

Treball de Final de Màster Universitari Erasmus Mundus en Tecnologia Geoespacial (Pla de 2022). Codi: SJL042.
openaire   +1 more source

Spatial species distribution models: Using Bayes inference with INLA and SPDE to improve the tree species choice for important European tree species

Forest Ecology and Management, 2022
Tobias Mette, Wolfgang Falk
exaly  

Joint modeling and prediction of massive spatio-temporal wildfire count and burnt area data with the INLA-SPDE approach

Extremes, 2023
Zhongwei Zhang, Elias Teixeira Krainski, Peng Zhong   +2 more
exaly  

Cross-covariance functions for additive and coupled joint spatiotemporal SPDE models in R-INLA

Environmental and Ecological Statistics, 2017
Y. Kifle, N. Hens, C. Faes
semanticscholar   +2 more sources