Results 71 to 80 of about 31,493 (191)

Top-kriging - geostatistics on stream networks [PDF]

open access: yesHydrology and Earth System Sciences, 2006
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  

Geostatistical Prediction of Ocean Outfall Plume Characteristics Based on an Autonomous Underwater Vehicle

open access: yesInternational Journal of Advanced Robotic Systems, 2013
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

A Comparative Assessment of Geostatistical, Machine Learning, and Hybrid Approaches for Mapping Topsoil Organic Carbon Content

open access: yesISPRS International Journal of Geo-Information, 2019
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
doaj   +1 more source

Experimental Verification of a Two‐Dimensional Inverse Method for Turbidity Currents Using a Deep Neural Network

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Turbidites have been widely studied as indicators of the occurrences and magnitudes of paleo‐tsunamis and paleo‐earthquakes. Inversion to estimate flow conditions from turbidites offers valuable insights into the magnitudes of paleo‐seismic and tsunami events.
Seiya Fujishima, Hajime Naruse
wiley   +1 more source

Groundwater Age and Nonpoint Source Pollutant Mixing in Alluvial Aquifer Wells: Comparing the Role of Diffusion, Dispersion, Aquifer Heterogeneity, and Well Screen Length

open access: yesWater Resources Research, Volume 62, Issue 2, February 2026.
Abstract Understanding the mixing of groundwater age and of nonpoint source (NPS) pollutants in water samples is crucial for interpreting age tracer and NPS pollutant data from production wells. Traditionally, diffusion and mechanical dispersion have been key mixing processes embedded in physical models for simulating and interpreting age tracer and ...
Christopher V. Henri   +2 more
wiley   +1 more source

The Effects of Planting Structure on Groundwater Depletion and Optimization Strategies in the North China Plain

open access: yesWater Resources Research, Volume 62, Issue 2, February 2026.
Abstract Planting structure drive agricultural water use and is critical to groundwater depletion in the North China Plain (NCP). However, the effects of planting structure changes on groundwater depletion are rarely quantified, and severely depleted areas are often overlooked in previous planting structure optimization studies.
Chengru Jia   +7 more
wiley   +1 more source

Geoestatística no estudo de modelagem temporal da precipitação Geostatistics in the temporal modeling study of precipitation

open access: yesRevista Brasileira de Engenharia Agrícola e Ambiental, 2011
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  

A pairwise likelihood approach for the empirical estimation of the underlyingvariograms in the plurigaussian models

open access: yes, 2015
The plurigaussian model is particularly suited to describe categorical regionalized variables. Starting from a simple principle, the thresh-olding of one or several Gaussian random fields (GRFs) to obtain categories, the plurigaussian model is well ...
Beucher, Hélène   +4 more
core   +1 more source

Detecting and Modeling Emotional Landscapes Through Deep Learning, GPT‐4.1, and 3D Spatial Interpolation

open access: yesTransactions in GIS, Volume 30, Issue 1, February 2026.
ABSTRACT This research provides new directions in conceptualizing emotional geographies at the landscape level using a combination of textual deep learning (DL) and GPT‐based spatial emotion detection and interpolation using 3D empirical Bayesian kriging.
Christopher J. Anderson
wiley   +1 more source

COMBINING NEURAL NETWORKS AND GEOSTATISTICS FOR LANDSLIDE HAZARD ASSESSMENT OF SAN SALVADOR METROPOLITAN AREA, EL SALVADOR

open access: yesRevista de Matemática: Teoría y Aplicaciones, 2017
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

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