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Computers and Geosciences, 2021
Abstract The complexity of geochemical patterns in surficial media makes it necessary to consider the uncertainty when identifying geochemical anomalies in geochemical prospecting. In this contribution, the type of uncertainty related to spatial modelling of geochemical element distribution based on a limited number of observations is considered.
Renguang Zuo
exaly +2 more sources
Abstract The complexity of geochemical patterns in surficial media makes it necessary to consider the uncertainty when identifying geochemical anomalies in geochemical prospecting. In this contribution, the type of uncertainty related to spatial modelling of geochemical element distribution based on a limited number of observations is considered.
Renguang Zuo
exaly +2 more sources
Evaluating a Bayesian modelling approach (INLA-SPDE) for environmental mapping
Science of the Total Environment, 2017Understanding the uncertainty in spatial modelling of environmental variables is important because it provides the end-users with the reliability of the maps. Over the past decades, Bayesian statistics has been successfully used. However, the conventional simulation-based Markov Chain Monte Carlo (MCMC) approaches are often computationally intensive ...
Brendan Malone +2 more
exaly +3 more sources
Geoderma, 2021
Abstract The growing human population and demand for food have significantly impacted soil resources. Understanding the spatiotemporal change of soil conditions is important to support food production, environmental sustainability, and climate change adaptation.
Budiman Minasny +2 more
exaly +2 more sources
Abstract The growing human population and demand for food have significantly impacted soil resources. Understanding the spatiotemporal change of soil conditions is important to support food production, environmental sustainability, and climate change adaptation.
Budiman Minasny +2 more
exaly +2 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
exaly +2 more sources
Recent data show that one in three women in Sub-Saharan Africa is abused at least once in her lifetime by an intimate partner. The fight against violence against women has thus been included among the targets of two Sustainable Development Goals of the United Nations.
Chibuzor Nnanatu +2 more
exaly +3 more sources
Chibuzor Nnanatu +2 more
exaly +3 more sources
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.
Lozada Aguilar, Francisco Javier
core +3 more sources
A geostatistical model for combined analysis of point-level and area-level data using INLA and SPDE [PDF]
Spatial Statistics, 2017 In this paper a Bayesian geostatistical model is presented for fusion of data obtained at point and areal resolutions. The model is fitted using the INLA and SPDE approaches.
Kerrie Mengersen +2 more
exaly +4 more sources
Applied Spatial Analysis and Policy, 2021
Nighttime light (NTL) data records the nocturnal emission signals of human activities and provides an accurate and continuous basis for the study of social and economic development. A new geostatistical model using NTL data is proposed to estimate the effects of human disturbance on wildlife habitats.
Changbai Xi +4 more
openaire +1 more source
Nighttime light (NTL) data records the nocturnal emission signals of human activities and provides an accurate and continuous basis for the study of social and economic development. A new geostatistical model using NTL data is proposed to estimate the effects of human disturbance on wildlife habitats.
Changbai Xi +4 more
openaire +1 more source