On the public citation graph

Regression models for estimating mineral resources from geological map data

https://doi.org/10.1007/bf01028881
0 signed · 157 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470316436openalex-snapshot
Linear Statistical Inference and its Applications
inferredcites →https://doi.org/10.1007/978-0-387-32833-1_5openalex-snapshot
Analysis of Binary Data
inferredcites →https://doi.org/10.1080/00401706.1974.10489211openalex-snapshot
Discriminant Analysis When the Initial Samples Are Misclassified II: Non-Random Misclassification Models
inferredcites →https://doi.org/10.1080/00401706.1979.10489731openalex-snapshot
Note on Initial Misclassification Effects on the Quadratic Discriminant Function
inferredcites →https://doi.org/10.1080/01621459.1961.10482106openalex-snapshot
Multiple Regression Analysis of a Poisson Process
inferredcites →https://doi.org/10.1093/biomet/61.1.1openalex-snapshot
The Jackknife--A Review
inferredcites →https://doi.org/10.1214/aos/1176342811openalex-snapshot
An Unbalanced Jackknife
inferredcites →https://doi.org/10.2307/1266637openalex-snapshot
Discriminant Analysis When the Initial Samples Are Misclassified
inferredcites →https://doi.org/10.2307/2529568openalex-snapshot
Linear Statistical Inference and Its Applications.

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_1openalex-snapshot
Application of Computerized Geomathematical Models to the Optimization of Exploration Programs
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/10.1007/978-1-4684-7732-0_3openalex-snapshot
Computers as an Aid in Mineral-Resource Evaluation
inferred← citeshttps://doi.org/10.1007/978-3-319-06874-9_12openalex-snapshot
Selected Topics for Further Research
inferred← citeshttps://doi.org/10.1007/978-3-319-06874-9_5openalex-snapshot
Prediction of Occurrence of Discrete Events
inferred← citeshttps://doi.org/10.1007/978-3-319-57315-1_16openalex-snapshot
P
inferred← citeshttps://doi.org/10.1007/978-3-319-57315-1_18openalex-snapshot
R
inferred← citeshttps://doi.org/10.1007/978-3-319-78999-6_2openalex-snapshot
A Statistical Commentary on Mineral Prospectivity Analysis
inferred← citeshttps://doi.org/10.1007/978-3-319-78999-6_21openalex-snapshot
General Framework of Quantitative Target Selections
inferred← citeshttps://doi.org/10.1007/978-3-540-69496-0_2openalex-snapshot
The Role of Frederik Pieter Agterberg in the Development of Geomathematics
inferred← citeshttps://doi.org/10.1007/978-94-009-4029-1_1openalex-snapshot
Application of Recent Developments of Regression Analysis in Regional Mineral Resource Evaluation
inferred← citeshttps://doi.org/10.1007/978-94-009-4029-1_2openalex-snapshot
Poisson Regression Analysis and its Application
inferred← citeshttps://doi.org/10.1007/978-94-015-8404-3_7openalex-snapshot
Multivariate Regression Analysis for Landslide Hazard Zonation
inferred← citeshttps://doi.org/10.1007/978-94-017-3048-8_8openalex-snapshot
Trend Surface Analysis
inferred← citeshttps://doi.org/10.1007/bf00890248openalex-snapshot
Regionalized favorability theory for information synthesis in mineral exploration
inferred← citeshttps://doi.org/10.1007/bf00890673openalex-snapshot
Delineation of intrinsic geological units
inferred← citeshttps://doi.org/10.1007/bf00906061openalex-snapshot
Graphical diagnostics for logistic oil exploration models
inferred← citeshttps://doi.org/10.1007/bf00918880openalex-snapshot
Physical deposit measures and commercial potential: The case of titanium-bearing heavy-mineral deposits
inferred← citeshttps://doi.org/10.1007/bf01029317openalex-snapshot
Use of spatial analysis in mineral resource evaluation
inferred← citeshttps://doi.org/10.1007/bf01030075openalex-snapshot
SIMSAG: Integrated computer system for use in evaluation of mineral and energy resources
inferred← citeshttps://doi.org/10.1007/bf01782111openalex-snapshot
Combining indicator patterns in weights of evidence modeling for resource evaluation
inferred← citeshttps://doi.org/10.1007/bf01782693openalex-snapshot
Fundamental issues in quantitative estimation of mineral resources
inferred← citeshttps://doi.org/10.1007/bf02065804openalex-snapshot
Geology-exploration endowment models for simultaneous estimation of discoverable mineral resources and endowment
inferred← citeshttps://doi.org/10.1007/bf02257660openalex-snapshot
Asymmetric fuzzy relation analysis method for ranking geoscience variables
inferred← citeshttps://doi.org/10.1007/bf02272809openalex-snapshot
The representation of geoscience information for data integration
inferred← citeshttps://doi.org/10.1007/bf02826942openalex-snapshot
Predictive GIS model for potential mapping of Cu, Pb, Zn mineralization
inferred← citeshttps://doi.org/10.1007/s00126-009-0250-6openalex-snapshot
Mapping of prospectivity and estimation of number of undiscovered prospects for lode gold, southwestern Ashanti Belt, Ghana
inferred← citeshttps://doi.org/10.1007/s10712-024-09843-xopenalex-snapshot
Constructing Priors for Geophysical Inversions Constrained by Surface and Borehole Geochemistry
inferred← citeshttps://doi.org/10.1007/s11004-008-9181-5openalex-snapshot
Deriving Optimal Exploration Target Zones on Mineral Prospectivity Maps
inferred← citeshttps://doi.org/10.1007/s11004-013-9496-8openalex-snapshot
A Comparison of Modified Fuzzy Weights of Evidence, Fuzzy Weights of Evidence, and Logistic Regression for Mapping Mineral Prospectivity
inferred← citeshttps://doi.org/10.1007/s11004-021-09989-zopenalex-snapshot
Stochastic Modelling of Mineral Exploration Targets
inferred← citeshttps://doi.org/10.1007/s11004-025-10195-4openalex-snapshot
Dual Random Fields and Their Application to Mineral Potential Mapping
inferred← citeshttps://doi.org/10.1007/s11053-005-4674-0openalex-snapshot
Measuring the Performance of Mineral-Potential Maps
inferred← citeshttps://doi.org/10.1007/s11053-007-9046-5openalex-snapshot
Spatial Analysis Techniques as Successful Mineral-Potential Mapping Tools for Orogenic Gold Deposits in the Northern Fennoscandian Shield, Finland
inferred← citeshttps://doi.org/10.1007/s11053-008-9062-0openalex-snapshot
Radial Basis Functional Link Nets Used as a Prospectivity Mapping Tool for Orogenic Gold Deposits Within the Central Lapland Greenstone Belt, Northern Fennoscandian Shield
inferred← citeshttps://doi.org/10.1007/s11053-010-9112-2openalex-snapshot
Application of Artificial Neural Network for Gold–Silver Deposits Potential Mapping: A Case Study of Korea
inferred← citeshttps://doi.org/10.1007/s11053-015-9274-zopenalex-snapshot
Comparison of the Data-Driven Random Forests Model and a Knowledge-Driven Method for Mineral Prospectivity Mapping: A Case Study for Gold Deposits Around the Huritz Group and Nueltin Suite, Nunavut, Canada
inferred← citeshttps://doi.org/10.1007/s11053-017-9348-1openalex-snapshot
Natural Resources Research Publications on Geochemical Anomaly and Mineral Potential Mapping, and Introduction to the Special Issue of Papers in These Fields
inferred← citeshttps://doi.org/10.1007/s11053-018-9439-7openalex-snapshot
An Improved Prediction-Area Plot for Prospectivity Analysis of Mineral Deposits
inferred← citeshttps://doi.org/10.1007/s11053-019-09483-8openalex-snapshot
Boosting for Mineral Prospectivity Modeling: A New GIS Toolbox
inferred← citeshttps://doi.org/10.1007/s11053-019-09486-5openalex-snapshot
Prospectivity Mapping for Porphyry Cu–Mo Mineralization in the Eastern Tianshan, Xinjiang, Northwestern China
inferred← citeshttps://doi.org/10.1007/s11053-019-09509-1openalex-snapshot
Mineral Potential Mapping Using a Conjugate Gradient Logistic Regression Model
inferred← citeshttps://doi.org/10.1007/s11053-019-09578-2openalex-snapshot
3D Mineral Prospectivity Mapping with Random Forests: A Case Study of Tongling, Anhui, China
inferred← citeshttps://doi.org/10.1007/s11053-020-09658-8openalex-snapshot
Weighted Photolineaments Factor (WPF): An Enhanced Method to Generate a Predictive Structural Evidential Map with Low Uncertainty, a Case Study in Chahargonbad Area, Iran
inferred← citeshttps://doi.org/10.1007/s11053-020-09700-9openalex-snapshot
Geodata Science-Based Mineral Prospectivity Mapping: A Review
inferred← citeshttps://doi.org/10.1007/s11053-021-09872-yopenalex-snapshot
Mineral Prospectivity Mapping based on Isolation Forest and Random Forest: Implication for the Existence of Spatial Signature of Mineralization in Outliers
inferred← citeshttps://doi.org/10.1007/s11053-021-09893-7openalex-snapshot
Machine Learning-Based 3D Modeling of Mineral Prospectivity Mapping in the Anqing Orefield, Eastern China
inferred← citeshttps://doi.org/10.1007/s11053-021-09918-1openalex-snapshot
A Hybrid Logistic Regression: Gene Expression Programming Model and Its Application to Mineral Prospectivity Mapping
inferred← citeshttps://doi.org/10.1007/s11053-021-09979-2openalex-snapshot
Mineral Prospectivity Mapping via Gated Recurrent Unit Model
inferred← citeshttps://doi.org/10.1007/s11053-026-10682-3openalex-snapshot
Data-Driven Mineral Prospectivity Mapping Integrating Machine Learning for Quartz Vein-Type Tungsten Deposit, Jiaoxi Area, Western Tibet, China
inferred← citeshttps://doi.org/10.1007/s11430-015-5178-3openalex-snapshot
A comparative study of fuzzy weights of evidence and random forests for mapping mineral prospectivity for skarn-type Fe deposits in the southwestern Fujian metallogenic belt, China
inferred← citeshttps://doi.org/10.1007/s11806-009-0089-0openalex-snapshot
A predictive GIS model for potential mapping of copper, lead, and zinc in Langping area, China
inferred← citeshttps://doi.org/10.1007/s11837-025-07887-xopenalex-snapshot
The Copper Anomaly Detection Based on Geological, Geochemical and Geophysical Data Using Eight Proposed MADM Algorithms
inferred← citeshttps://doi.org/10.1007/s12040-024-02386-0openalex-snapshot
Alteration zone mapping in tropical region: A comparison between data-driven and knowledge-driven techniques
inferred← citeshttps://doi.org/10.1007/s12517-013-0983-5openalex-snapshot
The use of the weights-of-evidence modeling technique to predictive porphyry Cu potential mapping in Ahar–Arasbaran zone, Iran
inferred← citeshttps://doi.org/10.1007/s12517-013-1193-xopenalex-snapshot
Mapping of heavy mineral placers through marine GIS expert system: a case study in Kalaignanapuram coastal stretch, southeast coast of Tamil Nadu, India
inferred← citeshttps://doi.org/10.1007/s12517-015-2202-zopenalex-snapshot
A weighted fuzzy aggregation GIS model in the integration of geophysical data with geochemical and geological data for Pb–Zn exploration in Takab area, NW Iran
inferred← citeshttps://doi.org/10.1007/s12517-016-2384-zopenalex-snapshot
Copper potential mapping in Kerman copper bearing belt by using ANFIS method and the input evidential layer analysis
inferred← citeshttps://doi.org/10.1007/s12518-012-0090-4openalex-snapshot
Mineral potential mapping with fuzzy models in the Kerman–Kashmar Tectonic Zone, Central Iran
inferred← citeshttps://doi.org/10.1016/0098-3004(89)90027-7openalex-snapshot
FORTRAN 77 program for poisson regression
inferred← citeshttps://doi.org/10.1016/b978-0-08-041867-4.50014-xopenalex-snapshot
Tools for Map Analysis: Multiple Maps
inferred← citeshttps://doi.org/10.1016/b978-0-12-819495-9.00004-9openalex-snapshot
Application of nonconventional mineral exploration techniques: case studies
inferred← citeshttps://doi.org/10.1016/j.aiig.2022.02.002openalex-snapshot
Towards a fully data-driven prospectivity mapping methodology: A case study of the Southeastern Churchill Province, Québec and Labrador
inferred← citeshttps://doi.org/10.1016/j.apgeochem.2024.106124openalex-snapshot
Data generation for exploration geochemistry: Past, present and future
inferred← citeshttps://doi.org/10.1016/j.asr.2024.09.038openalex-snapshot
Base-metal exploration by using remote sensing, geological, geophysical, and geochemical datasets with clues from ancient mining: A comprehensive review on Aravalli-Delhi Fold Belt, Rajasthan, India
inferred← citeshttps://doi.org/10.1016/j.cageo.2007.08.010openalex-snapshot
MRQP: A windows-based mixed-language program for mineral resource quantitative prediction
inferred← citeshttps://doi.org/10.1016/j.cageo.2011.06.023openalex-snapshot
Analysis and integration of geo-information to identify granitic intrusions as exploration targets in southeastern Yunnan District, China
inferred← citeshttps://doi.org/10.1016/j.cageo.2011.11.009openalex-snapshot
Geocomputation of mineral exploration targets
inferred← citeshttps://doi.org/10.1016/j.cageo.2014.10.004openalex-snapshot
Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines)
inferred← citeshttps://doi.org/10.1016/j.chemer.2021.125829openalex-snapshot
Investigating the spatial distribution of antimony geochemical anomalies located in the Yunnan-Guizhou-Guangxi region, China
inferred← citeshttps://doi.org/10.1016/j.coal.2012.04.009openalex-snapshot
Use of GIS to discover potential coalfields in Yatagan–Milas area in Turkey
inferred← citeshttps://doi.org/10.1016/j.geomorph.2008.03.015openalex-snapshot
Weight of evidence and artificial neural networks for potential groundwater spring mapping: an application to the Mt. Modino area (Northern Apennines, Italy)
inferred← citeshttps://doi.org/10.1016/j.gexplo.2017.03.015openalex-snapshot
Application of spatially weighted technology for mapping intermediate and felsic igneous rocks in Fujian Province, China
inferred← citeshttps://doi.org/10.1016/j.gexplo.2021.106839openalex-snapshot
Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: State-of-the-art and outlook
inferred← citeshttps://doi.org/10.1016/j.gexplo.2023.107279openalex-snapshot
Mineral prospectivity mapping using machine learning techniques for gold exploration in the Larder Lake area, Ontario, Canada
inferred← citeshttps://doi.org/10.1016/j.gsf.2023.101584openalex-snapshot
Quantifying the influence of magmatism and tectonism on ultraslow-spreading-ridge hydrothermal activity: Evidence from the Southwest Indian Ridge
inferred← citeshttps://doi.org/10.1016/j.jafrearsci.2016.11.032openalex-snapshot
Application of support vector machines for copper potential mapping in Kerman region, Iran
inferred← citeshttps://doi.org/10.1016/j.jag.2008.02.008openalex-snapshot
Knowledge-guided data-driven evidential belief modeling of mineral prospectivity in Cabo de Gata, SE Spain
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2007.07.001openalex-snapshot
Selection of coherent deposit-type locations and their application in data-driven mineral prospectivity mapping
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2010.02.003openalex-snapshot
Predictive mapping of prospectivity and quantitative estimation of undiscovered VMS deposits in Skellefte district (Sweden)
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2014.08.010openalex-snapshot
Data-driven predictive mapping of gold prospectivity, Baguio district, Philippines: Application of Random Forests algorithm
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2014.09.032openalex-snapshot
GIS-based mineral potential modeling by advanced spatial analytical methods in the southeastern Yunnan mineral district, China
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2015.01.004openalex-snapshot
Data- and knowledge-driven mineral prospectivity maps for Canada's North
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2015.03.014openalex-snapshot
Prospectivity of Western Australian iron ore from geophysical data using a reject option classifier
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2015.04.017openalex-snapshot
Introduction to the Special Issue: GIS-based mineral potential modelling and geological data analyses for mineral exploration
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2015.06.001openalex-snapshot
Three-dimensional mineral prospectivity modeling for targeting of concealed mineralization within the Zhonggu iron orefield, Ningwu Basin, China
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2017.06.013openalex-snapshot
Delineation of potential exploration targets based on 3D geological modeling: A case study from the Laoangou Pb-Zn-Ag polymetallic ore deposit, China
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2017.11.013openalex-snapshot
Spatial analyses of exploration evidence data to model skarn-type copper prospectivity in the Varzaghan district, NW Iran
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2018.12.003openalex-snapshot
3D computational simulation-based mineral prospectivity modeling for exploration for concealed Fe–Cu skarn-type mineralization within the Yueshan orefield, Anqing district, Anhui Province, China
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2019.02.029openalex-snapshot
Prospectivity mapping for high sulfidation epithermal porphyry deposits using an integrated compositional and topographic remote sensing dataset
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2022.104765openalex-snapshot
Mineral prospectivity mapping based on wavelet neural network and Monte Carlo simulations in the Nanling W-Sn metallogenic province
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2023.105612openalex-snapshot
Random forest classification for volcanogenic massive sulfide mineralization in the Rouyn-Noranda Area, Quebec
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2024.106175openalex-snapshot
Adopting a cell-based method to identify mineralized geological structures in support of mineral prospectivity mapping at the Kuh–Lakht epithermal gold deposit, Central Iran
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2024.106215openalex-snapshot
Improved mineral prospectivity mapping using graph neural networks
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2024.106329openalex-snapshot
A balanced mineral prospectivity model of Canadian magmatic Ni (± Cu ± Co ± PGE) sulphide mineral systems using conditional variational autoencoders
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2025.106894openalex-snapshot
Multi-scale 3D modeling by machine learning and numerical simulation for potential magma conduit in the Kalatongke district, Xinjiang, China
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2026.107310openalex-snapshot
Comparative evaluation of random forest and graph neural networks for gold prospectivity in the Hatu–Sartohay Belt, China
inferred← citeshttps://doi.org/10.1016/j.rsase.2022.100847openalex-snapshot
Soil salinization mapping across different sandy land-cover types in the Shiyang River Basin: A remote sensing and multiple linear regression approach
inferred← citeshttps://doi.org/10.1016/s0098-3004(02)00078-xopenalex-snapshot
Data-driven fuzzy analysis in quantitative mineral resource assessment
inferred← citeshttps://doi.org/10.1016/s0169-1368(02)00111-7openalex-snapshot
Evidential belief functions for data-driven geologically constrained mapping of gold potential, Baguio district, Philippines
inferred← citeshttps://doi.org/10.1016/s1874-2734(09)70013-0openalex-snapshot
References
inferred← citeshttps://doi.org/10.1023/a:1010147818806openalex-snapshot
Geologically Constrained Probabilistic Mapping of Gold Potential, Baguio District, Philippines
inferred← citeshttps://doi.org/10.1023/a:1011548709573openalex-snapshot
Application of GIS Processing Techniques for Producing Mineral Prospectivity Maps—A Case Study: Mesothermal Au in the Swayze Greenstone Belt, Ontario, Canada
inferred← citeshttps://doi.org/10.1023/a:1012536823294openalex-snapshot
Quantitative Analysis of Mineral Resources for Strategic Planning: Implications for Australian Geological Surveys
inferred← citeshttps://doi.org/10.1023/a:1013928826796openalex-snapshot
A History of Regression and Related Model-Fitting in the Earth Sciences (1636?-2000)
inferred← citeshttps://doi.org/10.1023/a:1013980810867openalex-snapshot
Appreciation of Contributions by Georges Matheron and John Tukey to a Mineral-Resources Research Project
inferred← citeshttps://doi.org/10.1023/a:1021698115192openalex-snapshot
Integration of Sparse Geologic Information in Gold Targeting Using Logistic Regression Analysis in the Hutti–Maski Schist Belt, Raichur, Karnataka, India—A Case Study
inferred← citeshttps://doi.org/10.1023/a:1021886501912openalex-snapshot
Mineral Favorability Mapping: A Comparison of Artificial Neural Networks, Logistic Regression, and Discriminant Analysis
inferred← citeshttps://doi.org/10.1080/00949655.2012.755976openalex-snapshot
Bias correction for parameter estimates of spatial point process models
inferred← citeshttps://doi.org/10.1080/00949655.2022.2081969openalex-snapshot
Quantifying uncertainty of subsampling-based ensemble methods under a U-statistic framework
inferred← citeshttps://doi.org/10.1080/08120090701581380openalex-snapshot
Combined conceptual/empirical prospectivity mapping for orogenic gold in the northern Fennoscandian Shield, Finland
inferred← citeshttps://doi.org/10.1080/10106049.2017.1415985openalex-snapshot
A comparative predictive analysis of weighted overlay, weighted sum and fuzzy logic for mineral prospectivity mapping of precious and base metal mineralizations at north-east of Gümüşhane city, NE Turkey
inferred← citeshttps://doi.org/10.1080/10106049.2022.2097481openalex-snapshot
Polymetallic mineralization prospectivity modelling using multi-geospatial data in logistic regression: The Diapiric Zone, Northeastern Algeria
inferred← citeshttps://doi.org/10.11108/kagis.2010.13.3.001openalex-snapshot
Gold-Silver Mineral Potential Mapping and Verification Using GIS and Artificial Neural Network
inferred← citeshttps://doi.org/10.1111/anzs.70037openalex-snapshot
The Impact of R on Statistical Science for Spatial Point Processes
inferred← citeshttps://doi.org/10.1111/j.1751-3928.2008.00050.xopenalex-snapshot
Regional Probabilistic and Statistical Mineral Potential Mapping of Gold–Silver Deposits Using GIS in the Gangreung Area, Korea
inferred← citeshttps://doi.org/10.1111/j.1751-3928.2010.00146.xopenalex-snapshot
From Predictive Mapping of Mineral Prospectivity to Quantitative Estimation of Number of Undiscovered Prospects
inferred← citeshttps://doi.org/10.1139/e06-020openalex-snapshot
Gold prospectivity maps of the Red Lake greenstone belt: application of GIS technology
inferred← citeshttps://doi.org/10.1177/0265813515596448openalex-snapshot
Use and performance of the Forest Fire Weather Index to model the risk of wildfire occurrence in the Alpine region
inferred← citeshttps://doi.org/10.1179/aes.2002.111.2.100openalex-snapshot
Wildcat mapping of gold potential, Baguio District, Philippines
inferred← citeshttps://doi.org/10.1214/10-ejs581openalex-snapshot
Spatial logistic regression and change-of-support in Poisson point processes
inferred← citeshttps://doi.org/10.1515/geo-2015-0012openalex-snapshot
Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS
inferred← citeshttps://doi.org/10.1515/geo-2020-0165openalex-snapshot
Application of multivariate regression on magnetic data to determine further drilling site for iron exploration
inferred← citeshttps://doi.org/10.1515/geo-2025-0873openalex-snapshot
A metaverse-based visual analysis approach for 3D reservoir models
inferred← citeshttps://doi.org/10.18174/121814openalex-snapshot
Sampling scheme optimization from hyperspectral data
inferred← citeshttps://doi.org/10.19076/mta.451272openalex-snapshot
BULANIK VE FRAKTAL MODELLEME KULLANILARAK SONAJEEL SAHASINDA (KB İRAN) PORFİRİ BAKIR PROSPEKSİYON HARITALAMASI
inferred← citeshttps://doi.org/10.19111/bulletinofmre.391835openalex-snapshot
PORPHYRY COPPER PROSPECTIVITY MAPPING USING FUZZY AND FRACTAL MODELING IN SONAJEEL AREA, NW IRAN
inferred← citeshttps://doi.org/10.2113/0100165openalex-snapshot
Logistic Regression for Geologically Constrained Mapping of Gold Potential, Baguio District, Philippines
inferred← citeshttps://doi.org/10.2113/1030215openalex-snapshot
Linking Spatial Statistics to GIS: exploring potential gold and tin models of Africa
inferred← citeshttps://doi.org/10.21701/bolgeomin.122.4.008openalex-snapshot
Predictive mapping using GIS to locate epithermal gold deposits at Cabo de Gata (Prov. of Almería, Spain)
inferred← citeshttps://doi.org/10.25249/0375-7536.200333s2191196openalex-snapshot
GIS modeling for mineral potential mapping of carbonate-hosted Pb-Zn deposits
inferred← citeshttps://doi.org/10.26686/wgtn.17012195openalex-snapshot
Dual Component Estimation; a probabilistic approach to estimate undiscovered oil and gas in an underexplored basin, Taranaki Basin, New Zealand
inferred← citeshttps://doi.org/10.26686/wgtn.17012195.v1openalex-snapshot
Dual Component Estimation; a probabilistic approach to estimate undiscovered oil and gas in an underexplored basin, Taranaki Basin, New Zealand
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/10.3133/ofr9312openalex-snapshot
A suggested rationale and selected bibliography for using rule-based expert computer systems (artificial intelligence) in recurrent petroleum resource assessments
inferred← citeshttps://doi.org/10.3390/fractalfract8040224openalex-snapshot
Fractal-Based Multi-Criteria Feature Selection to Enhance Predictive Capability of AI-Driven Mineral Prospectivity Mapping
inferred← citeshttps://doi.org/10.3390/geosciences9030116openalex-snapshot
Prospectivity Mapping for Epithermal Deposits of Western Milos Using a Fuzzy Multi Criteria Evaluation Approach Parameterized by Airborne Hyperspectral Remote Sensing Data
inferred← citeshttps://doi.org/10.3390/land13121995openalex-snapshot
Capitalising on the Floristic Survey as a Non-Destructive Line of Evidence for Mineral Potential Modelling: A Case Study of Bauxite in South-Western Australia
inferred← citeshttps://doi.org/10.3390/min13101267openalex-snapshot
Mineral Prospectivity Mapping for Orogenic Gold Mineralization in the Rainy River Area, Wabigoon Subprovince
inferred← citeshttps://doi.org/10.3390/min8070300openalex-snapshot
Quantitative 3D Association of Geological Factors and Geophysical Fields with Mineralization and Its Significance for Ore Prediction: An Example from Anqing Orefield, China
inferred← citeshttps://doi.org/10.3390/rs14184486openalex-snapshot
A New Method to Evaluate Gold Mineralisation-Potential Mapping Using Deep Learning and an Explainable Artificial Intelligence (XAI) Model
inferred← citeshttps://doi.org/10.3990/1.9789036557887openalex-snapshot
Quantitative models for porphyry copper exploration
inferred← citeshttps://doi.org/10.5327/rbg.v33i2.1066openalex-snapshot
Gis modeling for mineral potential mapping of carbonate-hosted pb-zn deposits
inferred← citeshttps://doi.org/10.5547/issn0195-6574-ej-vol14-no1-8openalex-snapshot
Statistical Issues in the Assessment of Undiscovered Oil and Gas Resources
inferred← citeshttps://doi.org/10.5589/m03-013openalex-snapshot
Application of data integration for deformation potential mapping using remotely acquired data sets within the Lynn Lake Greenstone Belt, northwestern Manitoba, Canada
inferred← citeshttps://doi.org/10.5772/16187openalex-snapshot
Application of Artificial Neural Network for Mineral Potential Mapping
inferred← citeshttps://doi.org/10.6010/geoinformatics1990.2.2_159openalex-snapshot
Combination Rules of Spatial Geoscience Data for Mineral Exploration
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.