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Multivariate prediction equations in geology
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf02048558openalex-snapshot
Two-stage least-squares model for the relationship between mappable geological variables
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-1-4613-1861-3_5openalex-snapshot
Application of the General Linear Model (GLM) and Operations Research (OR) Models to the Optimization of Field Exploration and Development Planning
inferred← citeshttps://doi.org/10.1007/978-1-4684-1230-7_1openalex-snapshot
Optimizing Mineral Exploration
inferred← citeshttps://doi.org/10.1007/978-3-319-06874-9_4openalex-snapshot
Correlation, Method of Least Squares, Linear Regression and the General Linear Model
inferred← citeshttps://doi.org/10.1007/s11053-019-09560-yopenalex-snapshot
Exploring Spatially Non-stationary Relationships in the Determinants of Mineralization in 3D Geological Space
inferred← citeshttps://doi.org/10.1007/s11053-021-09954-xopenalex-snapshot
An Improved GWR Approach for Exploring the Anisotropic Influence of Ore-Controlling Factors on Mineralization in 3D Space
inferred← citeshttps://doi.org/10.1007/s11053-022-10075-2openalex-snapshot
Developments in Quantitative Assessment and Modeling of Mineral Resource Potential: An Overview
inferred← citeshttps://doi.org/10.1007/s11053-025-10615-6openalex-snapshot
Robust Uncertainty Analysis in Mineral Prospectivity Mapping: A Prototype for Fe–Mn Exploration in South Africa
inferred← citeshttps://doi.org/10.1016/j.gexplo.2014.05.012openalex-snapshot
Three-dimensional weights of evidence-based prospectivity modeling: A case study of the Baixiangshan mining area, Ningwu Basin, Middle and Lower Yangtze Metallogenic Belt, China
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2015.12.002openalex-snapshot
An improved buffer analysis technique for model-based 3D mineral potential mapping and its application
inferred← citeshttps://doi.org/10.1016/s1002-0705(08)60063-1openalex-snapshot
Quantitative Prediction for Deep Mineral Exploration
inferred← citeshttps://doi.org/10.18654/1000-0569/2019.12.18openalex-snapshot
Prospectivity modeling: From two-dimension to three-dimension
inferred← citeshttps://doi.org/10.3133/cir980openalex-snapshot
Prospects for mineral resource assessments on public lands: Proceedings of the Leesburg workshop
inferred← citeshttps://doi.org/10.3390/min12091174openalex-snapshot
Three-Dimensional Mineral Prospectivity Modeling for Delineation of Deep-Seated Skarn-Type Mineralization in Xuancheng–Magushan Area, China
inferred← citeshttps://doi.org/10.3724/j.issn.1007-2802.20260124openalex-snapshot
Methods and practices for quantitative prediction of mineral resources under the challenge of Few-Shot Learning: A case study of the Lhasa area, Xizang, China
inferred← citeshttps://doi.org/10.5194/gmd-11-2525-2018openalex-snapshot
An improved logistic regression model based on a spatially weighted technique (ILRBSWT v1.0) and its application to mineral prospectivity mapping
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