Results 81 to 90 of about 167,195 (219)
Kriging Models That Are Robust With Respect to Simulation Errors [PDF]
In the field of the Design and Analysis of Computer Experiments (DACE) meta-models are used to approximate time-consuming simulations. These simulations often contain simulation-model errors in the output variables.
Siem, A.Y.D., Hertog, D. den
core
Optimal interpolation and isarithmic mapping of soil properties .1. The semi-variogram and punctual kriging [PDF]
, 2019 Kriging is a means of spatial prediction that can be used for soil properties. It is a form of weighted local averaging. It is optimal in the sense that it provides estimates of values at unrecorded places without bias and with minimum and known variance.
Webster, R. +3 more
core +1 more source
Benchmarking Knowledge-assisted Kriging for Automated Spatial Interpolation of Wind Measurements
- We have benchmarked a novel knowledge-assisted kriging algorithm that allows regions of spatial cohesion to be specified and variograms calculated for each region.
Zlatev, Zlatko +2 more
core +1 more source
Reconnaissance‐Scale Methods for the Identification of Groundwater Discharge to Streams
Groundwater Monitoring &Remediation, EarlyView.Abstract Identifying groundwater discharge locations is critical for understanding and monitoring groundwater contributions to streams in terms of water quantity and quality. Streams and rivers are under increasing strain from factors, including increased urbanization, agricultural land use, groundwater extraction, and climate change, which can alter ...
Corey M. Zanatta +2 more
wiley +1 more source
JTAM (Jurnal Teori dan Aplikasi Matematika)Precipitation can lead to disasters like droughts and floods, necessitating accurate interpolation methods. Traditional spatio-temporal kriging often struggles with outliers, which can reduce estimation reliability.
Friendtika Miftaqul Jannah +2 more
doaj +1 more source
Groundwater Monitoring &Remediation, EarlyView.Abstract The long‐term and frequent sampling of groundwater monitoring networks is common practice for monitoring the concentrations of constituents of potential concern (CoPC) over space and time. Sampling can be a costly and time‐intensive process that also incurs health and safety risks. A redundancy‐based ranking of candidate sampling locations can
Peter Radvanyi +5 more
wiley +1 more source
Exploratory disease mapping: kriging the spatial risk function from regional count data
International Journal of Health Geographics, 2004 Background There is considerable interest in the literature on disease mapping to interpolate estimates of disease occurrence or risk of disease from a regional database onto a continuous surface.
Berke Olaf
doaj +1 more source
On Spatial Point Processes With Composition‐Valued Marks
International Statistical Review, EarlyView.Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt +2 more
wiley +1 more source
The Month Precipitation in Jinghe River Basin Considering Data-transformation
Shuitu baochi yanjiu, 2008 The skewness,square-root-transformation,cuberoot-transformation and logarithm transformation of the monthly precipitation which was from the stations throughout Jinghe river basin from 1951 to 2005 was analyzed fistly.Then,the spatial interpolation of ...
LIU Peng1, ZHANG Wan-chang2
doaj
Reviews of Geophysics, Volume 64, Issue 4, December 2026.Abstract Spatial heterogeneity, manifested as strong variability in hydraulic conductivity (K) within geological formations, exerts a fundamental control on groundwater flow and solute transport. Because K can vary over multiple orders of magnitude in complex three‐dimensional patterns, predicting contaminant plume migration remains a long‐standing ...
Zhilin Guo +8 more
wiley +1 more source