Results 131 to 140 of about 2,909,867 (244)

Mapping wild vascular plant species diversity in urban areas in California using crowdsourcing data by regression kriging: Examining socioeconomic disparities. [PDF]

Sci Total Environ, 2023
Li M, Masri S, Chiu CH, Sun Y, Wu J.
europepmc   +1 more source

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

Water 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, Shikun Sun, Yongshan Liang, Ruihua Shen, Jinfeng Zhao, Yali Yin, Yubao Wang, Xining Zhao   +7 more
wiley   +1 more source

An analytic comparison of regularization methods for Gaussian Processes [PDF]

, 2015
Gaussian Processes (GPs) are a popular approach to predict the output of a parameterized experiment. They have many applications in the field of Computer Experiments, in particular to perform sensitivity analysis, adaptive design of experiments and ...
Bay, Xavier, Durrande, Nicolas, Mohammadi, Hossein, Riche, Rodolphe Le, Touboul, Eric   +4 more
core   +3 more sources

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

Transactions 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

A ModEx Framework for Watershed Subsurface Investigation With Limited Geophysical Data Using Machine Learning and Hydrologic Modeling

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Subsurface heterogeneity influences watershed hydrology strongly but remains difficult to characterize at catchment scales with sparse and costly field data. Geophysical surveys such as electromagnetic induction (EMI) provide local spatial subsurface images yet scaling them to watershed scales and converting EMI‐derived resistivity into ...
Hang Chen, Robin Thibaut, Chunwei Chou, Chen Xiong, Yuxin Wu   +4 more
wiley   +1 more source

Soil Carbon Stock and Particle Size Fractions in the Central Amazon Predicted from Remotely Sensed Relief, Multispectral and Radar Data

Remote Sensing, 2017
Soils from the remote areas of the Amazon Rainforest in Brazil are poorly mapped due to the presence of dense forest and lack of access routes. The use of covariates derived from multispectral and radar remote sensors allows mapping large areas and has ...
Marcos B. Ceddia, Andréa S. Gomes, Gustavo M. Vasques, Érika F. M. Pinheiro   +3 more
doaj   +1 more source

Mapping soil organic carbon in northern France using adaptive zoning regression kriging based on LUCAS dataset

Geocarto International
To improve the accuracy of soil organic carbon (SOC) mapping, an adaptive zoning regression kriging (AZ_RK) framework was proposed, which simultaneously considers spatial heterogeneity and the influence of multiple environmental variables.
Xiaomi Wang, Jiuhong Liu, Yiyun Chen, Leilei Liu, Zihao Wu   +4 more
doaj   +1 more source

Long-term wind speed interpolation using anisotropic regression kriging with regional heterogeneous terrain and solar insolation in the United States

Energy Reports, 2022
Changyeon Lee
semanticscholar   +1 more source

Kriging for Interpolation in Random Simulation [PDF]

Whenever simulation requires much computer time, interpolation is needed. There are several interpolation techniques in use (for example, linear regression), but this paper focuses on Kriging.This technique was originally developed in geostatistics by D ...
Beers, W.C.M. van, Kleijnen, J.P.C.
core   +1 more source

The assessment of local geological factors for the construction of a Geogenic Radon Potential map using regression kriging. A case study from the Euganean Hills volcanic district (Italy).

Science of the Total Environment, 2021
Chiara Coletti, G. Ciotoli, E. Bena, E. Brattich, G. Cinelli, A. Galgaro, M. Massironi, C. Mazzoli, D. Mostacci, Pietro Morozzi, P. Mozzi, J. Nava, L. Ruggiero, A. Sciarra, L. Tositti, R. Sassi   +15 more
semanticscholar   +1 more source