Results 51 to 60 of about 3,240 (143)
Geostatistics has been successfully used to analyse and characterize the spatial variability of environmental properties. Besides providing estimated values at unsampled locations, geostatistics measures the accuracy of the estimate, which is a ...
Patrícia Alexandra Gregório Ramos
doaj +1 more source
Accurate digital soil mapping (DSM) of soil organic carbon (SOC) is still a challenging subject because of its spatial variability and dependency. This study is aimed at comparing six typical methods in three types of DSM techniques for SOC mapping in an
Lin Chen +6 more
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ABSTRACT Landscape fragmentation may influence the spatial distribution and temporal variation of non‐point source (NPS) pollution by altering hydrological processes, pollutant transport pathways, and ecosystem service functions. However, under the combined effects of natural factors (e.g., precipitation, topography) and anthropogenic factors (e.g ...
Shilin Cai +5 more
wiley +1 more source
Top-kriging - geostatistics on stream networks [PDF]
We present Top-kriging, or topological kriging, as a method for estimating streamflow-related variables in ungauged catchments. It takes both the area and the nested nature of catchments into account.
J. O. Skøien, R. Merz, G. Blöschl
doaj
ABSTRACT Knowledge of the factors influencing the spatial distribution of farmland soil organic carbon (SOC) content contributes to a better understanding of human impacts on soil, which is crucial for improving soil quality and mitigating climate change.
Ke Quan, Xinguo Li, Xiangyu Ge
wiley +1 more source
ABSTRACT Background Malaria is a critical public health concern in Nigeria with the country bearing an uneven burden of the disease. In Nigeria, malaria is one of the main causes of child mortality and despite all efforts to reduce malaria mortality rates, the disease remains a major concern, notably among children under‐fives.
Justice Moses K. Aheto +23 more
wiley +1 more source
Scaling and Uncertainty in Soil Moisture Modelling: A Probabilistic Deep Learning Perspective
A probabilistic Gaussian Mixture Long Short‐Term Memory framework is used to investigate soil moisture dynamics across the continental United States using meteorological forcings and physiographic attributes. Predictions are evaluated at unseen International Soil Moisture Network sites to ensure realistic regional transfer.
Balazs Bischof, Erwin Zehe, Ralf Loritz
wiley +1 more source
A análise geoestatística é uma poderosa ferramenta utilizada em estudos de dependência espacial. No que tange à dependência temporal, poucas são as análises realizadas com essa metodologia.
André Q. de Almeida +4 more
doaj
This contribution describes the creation of a landslide hazard assessment model for San Salvador, a department in El Salvador. The analysis started with an aerial photointerpretation from Ministry of Environment and Natural Resources of El Salvador (MARN
Ricardo Ríos +3 more
doaj +1 more source
iS‐GNN: Interpolation of Crustal Stress Maps Using a Graph Neural Network Model
Abstract Estimating the orientation of the maximum horizontal stress (SHmax) from sparse and unevenly distributed geophysical observations remains a persistent challenge in tectonic and geomechanical stress studies. Classical interpolation methods often neglect the multiscale tectonic–geological heterogeneity of the crust, leading to biased estimates ...
Kwame A. Gyamfi, Michele M. C. Carafa
wiley +1 more source

