Spatial modelling of agro-ecologically significant grassland species using the INLA-SPDE approach [PDF]
Scientific Reports, 2023 The use of spatially referenced data in agricultural systems modelling has grown in recent decades, however, the use of spatial modelling techniques in agricultural science is limited.
Andrew Fichera +4 more
doaj +8 more sources
Spatial variability and uncertainty associated with soil moisture content using INLA-SPDE combined with PyMC3 probability programming [PDF]
Scientific ReportsSpatial variability and uncertainty associated with soil volumetric moisture content (SVMC) is crucial in moisture prediction accuracy, this paper sets out to address this point of SVMC by developing data-driven model.
Yujian Yang
exaly +6 more sources
Using a Bayesian modelling approach (INLA-SPDE) to predict the occurrence of the Spinetail Devil Ray (Mobular mobular). [PDF]
Sci Rep, 2020 To protect the most vulnerable marine species it is essential to have an understanding of their spatiotemporal distributions. In recent decades, Bayesian statistics have been successfully used to quantify uncertainty surrounding identified areas of ...
Lezama-Ochoa N +4 more
europepmc +12 more sources
Spatio-temporal data fusion for the analysis of in situ and remote sensing data using the INLA-SPDE approach [PDF]
Spatial StatisticsWe propose a Bayesian hierarchical model to address the challenge of spatial misalignment in spatio-temporal data obtained from in situ and satellite sources. The model is fit using the INLA-SPDE approach, which provides efficient computation.
Samuel W K Wong
exaly +5 more sources
Environmental ChallengesSoil organic carbon (SOC) plays a critical role in climate mitigation and agricultural sustainability, yet its spatial distribution in the eastern Democratic Republic of the Congo (DRC) remains poorly quantified.
Alain Matazi Kangela +8 more
exaly +5 more sources
Interpolating climate variables by using INLA and the SPDE approach [PDF]
International Journal of Climatology, 2023 Gridded observational products of the main climate parameters are essential in climate science. Current interpolation approaches, implemented to derive such products, often lack of a proper uncertainty propagation and representation.
Guido Fioravanti +2 more
exaly +3 more sources
Spatial Statistics, 2019 In air pollution studies a key issue concerns the change of support: pollutant concentrations are continuous phenomena in space but their measurements are typically available at a finite number of point-referenced monitoring stations or result from ...
Michela Cameletti +2 more
exaly +5 more sources
Migration-adjusted prostate cancer incidence in China: a population-based epidemiological analysis [PDF]
Frontiers in Public HealthBackgroundChina’s internal migration poses major challenges to cancer surveillance systems that rely on household-registered populations (HRP). Excluding migrants can lead to biased incidence estimates and misinformed public health planning.MethodsThis ...
Yu Zhang +23 more
doaj +2 more sources
The estimated incidence of uterine corpus cancers among permanent residents in mainland China using Bayesian spatial modeling [PDF]
Scientific ReportsCancer registration in mainland China traditionally focuses on household-registered residents (HRR) and does not include the migrant population among permanent residents (PR), leading to significant selection bias.
Shuxiu Hao +15 more
doaj +2 more sources
Integrating migration into cancer geography: spatial clustering of five digestive cancer burden in China [PDF]
Frontiers in Public HealthIntroductionChina’s digestive cancer landscape presents a dual challenge, the significant geographic disparity and the distorting effect of large-scale internal migration on burden estimation.
Guijin Li +27 more
doaj +2 more sources