Results 131 to 140 of about 32,345 (261)

Bandwidth Modelling on Geographically Weighted Regression with Bisquare Adaptive Method using Kriging Interpolation for Land Price Estimation Model [PDF]

, 2020
Alfita Puspa Handayani, Albertus Deliar, Irawan Sumarto, Ibnu Syabri   +3 more
openalex   +1 more source

Kriging prior Regression: A Case for Kriging-Based Spatial Features with TabPFN in Soil Mapping

Machine learning and geostatistics are two fundamentally different frameworks for predicting and spatially mapping soil properties. Geostatistics leverages the spatial structure of soil properties, while machine learning captures the relationship between available environmental features and soil properties.
Schmidinger, Jonas, Barkov, Viacheslav, Vogel, Sebastian, Atzmueller, Martin, Heuvelink, Gerard B M   +4 more
openaire   +2 more sources

Hybrid kriging methods for interpolating sparse river bathymetry point data

Ciência e Agrotecnologia
Terrain models that represent riverbed topography are used for analyzing geomorphologic changes, calculating water storage capacity, and making hydrologic simulations. These models are generated by interpolating bathymetry points.
Pedro Velloso Gomes Batista, Marx Leandro Naves Silva, Fabio Arnaldo Pomar Avalos, Marcelo Silva de Oliveira, Michele Duarte de Menezes, Nilton Curi   +5 more
doaj   +1 more source

Estimating vehicle miles traveled (VMT) in urban areas using regression kriging [PDF]

, 2016
Se‐Heon Kim, Dongjoo Park, Tae‐Young Heo, Hyunseung Kim, Dahee Hong   +4 more
openalex   +1 more source

Satellite-Based NO₂ and Model Validation in a National Prediction Model Based on Universal Kriging and Land-Use Regression

, 2016
Michael T. Young, Matthew J. Bechle, Paul D. Sampson, Adam A. Szpiro, Julian Marshall, Lianne Sheppard, Joel D. Kaufman   +6 more
openalex   +2 more sources

Semi-Parametric Functional Kriging Regression Model with L1 Penalty

Highlights in Science, Engineering and Technology
Partial functional linear models are widely studied and applied models, where the response variable is related to both general random variables and functional random variables. However, with the increasing application of data scenarios involving functional and vector-valued covariates and scalar responses in modern science, this paper proposes a ...
Rui Chen, Zhiyong Zhou
openaire   +1 more source

Prediction of the spatial distribution of ecological data using kriging and binary regression [PDF]

, 2016
Vladimir M. Bure, Olga Mitrofanova
openalex   +1 more source

Topological and canonical kriging for design-flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?

, 2012
S. A. Archfield, Alessio Pugliese, Attilio Castellarin, J. O. Sk amp oslash ien, Julie E. Kiang   +4 more
openalex   +1 more source

A generic framework for spatial prediction of soil variables based on regression-kriging

, 2003
Tomislav Hengl, G.B.M. Heuvelink, Alfred Stein   +2 more
openalex   +2 more sources

CLASSIFICATION OF STUNTING USING GEOGRAPHICALLY WEIGHTED REGRESSION-KRIGING CASE STUDY: STUNTING IN EAST JAVA

, 2023
Atiek Iriany, Wigbertus Ngabu, Danang Arianto, Arditama Putra   +3 more
openalex   +2 more sources