Results 221 to 230 of about 2,909,867 (244)

Application of regression kriging and machine learning methods to estimate soil moisture constants in a semi-arid terrestrial area

Computers and Electronics in Agriculture, 2023
T. Tunçay, P. Alaboz, O. Dengiz, O. Başkan   +3 more
semanticscholar   +1 more source

Optimally Weighted Cluster Kriging for Big Data Regression

2015
In business and academia we are continuously trying to model and analyze complex processes in order to gain insight and optimize. One of the most popular modeling algorithms is Kriging, or Gaussian Processes. A major bottleneck with Kriging is the amount of processing time of at least \(O(n^3)\) and memory required \(O(n^2)\) when applying this ...
Bas van Stein, Hao Wang, Wojtek Kowalczyk, Thomas Bäck, Michael Emmerich   +4 more
openaire   +1 more source

Application of predictor variables to support regression kriging for the spatial distribution of soil organic carbon stocks in native temperate grasslands

Journal of Soils and Sediments, 2022
Yuqiang Li, Xuyang Wang, Yun Chen, Xiangwen Gong, Caiping Yao, Wenjie Cao, J. Lian   +6 more
semanticscholar   +1 more source

Fast Bayesian Regression Kriging Method for Real‐Time Merging of Radar, Rain Gauge, and Crowdsourced Rainfall Data

Water Resources Research, 2019
Crowdsourcing of rainfall measurements incorporating common citizens as a rich source of data is an emerging concept with huge potential to provide valuable high spatiotemporal resolution rainfall observations.
Pan Yang, T. Ng
semanticscholar   +1 more source

Population‐density estimation using regression and area‐to‐point residual kriging

International Journal of Geographical Information Science, 2008
Census population data are associated with several analytical and cartographic problems. Regression models using remote-sensing covariates have been examined to estimate urban population density, but the performance may not be satisfactory. This paper describes a kriging-based areal interpolation method, namely area-to-point residual kriging, which can
Liu, X. H., Kyriakidis, Phaedon, Goodchild, Michael F.   +2 more
openaire   +2 more sources

Prediction of Soil Heavy Metal Distribution Using Geographically Weighted Regression Kriging

Bulletin of Environmental Contamination and Toxicology, 2021
Peihong Fu, Yong Yang, Yang Zou
semanticscholar   +1 more source

Spatial Regression Analysis vs. Kriging Methods for Spatial Estimation

International Advances in Economic Research, 2008
Due to the rapid development of Geographic Information Systems (GIS) in recent years, spatial data analysis has received considerable attention and played an important role in social science. Although many standard statistical techniques are attractive in traditional data analysis, they cannot be implemented uncritically for spatial data.
openaire   +1 more source

Geographical detector-based stratified regression kriging strategy for mapping soil organic carbon with high spatial heterogeneity

, 2021
Yaolin Liu, Yiyun Chen, Zihao Wu, Bozhi Wang, S. Wang   +4 more
semanticscholar   +1 more source

Merging radar and rain gauge data by using spatial–temporal local weighted linear regression kriging for quantitative precipitation estimation

, 2021
Zhang Guofeng, Tian Guanghui, Cai Daxin, Bai Rui, Jinhe Tong   +4 more
semanticscholar   +1 more source

Inverse distance weighted (IDW) and kriging approaches integrated with linear single and multi-regression models to assess particular physico-consolidation soil properties for Kirkuk city

Modeling Earth Systems and Environment, 2023
A. M. Raheem, I. J. Naser, Mohammed Sirage Ibrahim, N. Omar   +3 more
semanticscholar   +1 more source