On the public citation graph
Combining indicator patterns in weights of evidence modeling for resource evaluation
0 signed · 183 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4612-1017-7openalex-snapshot
The Statistical Analysis of Discrete Data
inferredcites →https://doi.org/10.1007/978-3-642-78817-8openalex-snapshot
The Statistical Analysis of Categorical Data
inferredcites →https://doi.org/10.1007/978-3-642-97225-6openalex-snapshot
The Statistical Analysis of Categorical Data
inferredcites →https://doi.org/10.1007/bf00906061openalex-snapshot
Graphical diagnostics for logistic oil exploration models
inferredcites →https://doi.org/10.1007/bf01028881openalex-snapshot
Regression models for estimating mineral resources from geological map data
inferredcites →https://doi.org/10.1007/bf02082358openalex-snapshot
Automatic contouring of geological maps to detect target areas for mineral exploration
inferredcites →https://doi.org/10.1016/0098-3004(89)90026-5openalex-snapshot
LOGDIA—FORTRAN 77 program for logistic regression with diagnostics
inferredcites →https://doi.org/10.1016/b978-0-08-037245-7.50006-8openalex-snapshot
Statistical Pattern Integration for Mineral Exploration
inferredcites →https://doi.org/10.1016/b978-0-08-040261-1.50012-xopenalex-snapshot
Application of a Microcomputer-based Geographic Information System to Mineral-Potential Mapping
inferredcites →https://doi.org/10.1016/b978-0-408-01208-9.50011-7openalex-snapshot
Photogrammetry and Remote Sensing
inferredcites →https://doi.org/10.1029/sc010p0015openalex-snapshot
Integration of geological datasets for gold exploration in Nova Scotia
inferredcites →https://doi.org/10.1080/00401706.1989.10488504openalex-snapshot
Artificial Intelligence and Statistics
inferredcites →https://doi.org/10.1080/07038992.1991.10855292openalex-snapshot
A Decision-Tree Approach to Mineral Potential Mapping in Snow Lake Area, Manitoba
inferredcites →https://doi.org/10.1126/science.245.4913.76openalex-snapshot
Computer Programs for Mineral Exploration
inferredcites →https://doi.org/10.1201/9781439833407openalex-snapshot
Application of Computers and Operations Research in the Mineral Industry
inferredcites →https://doi.org/10.20381/ruor-10569openalex-snapshot
Data integration and geochemical evaluation of Meguma Terrane, Nova Scotia, for gold mineralization.
inferredcites →https://doi.org/10.2307/2063625openalex-snapshot
Discrete Multivariate Analysis: Theory and Practice.
inferredcites →https://doi.org/10.2307/2348290openalex-snapshot
The Statistical Analysis of Discrete Data.
inferredcites →https://doi.org/10.2307/2981737openalex-snapshot
Statistical and Knowledge-Based Approaches to Clinical Decision-Support Systems, with an Application in Gastroenterology
inferredcites →https://doi.org/10.4095/103392openalex-snapshot
Computer program for the logistic model to estimate the probability of occurrence of discrete events
inferredcites →https://doi.org/10.4095/128059openalex-snapshot
Weights of evidence modelling: a new approach to mapping mineral potential
inferredcites →https://doi.org/10.4095/128060openalex-snapshot
Data integration studies in northern New Brunswick
inferredcites →https://doi.org/10.4095/128061openalex-snapshot
Weighting of geophysical data with SPANS for digital geological mapping
inferredcites →https://doi.org/10.4095/128125openalex-snapshot
Statistical applications in the earth sciences
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-06874-9_5openalex-snapshot
Prediction of Occurrence of Discrete Events
inferred← citeshttps://doi.org/10.1007/978-3-319-18663-4_118openalex-snapshot
Three Dimensional Quantitative Extraction and Integration for Geosciences Information: A Case Study of Nannihu Mo Deposit Area
inferred← citeshttps://doi.org/10.1007/978-3-319-18663-4_81openalex-snapshot
Application of GIS-Based Weights of Evidence Method for Metallogenic Prediction to Copper Resources in Western Region of Zhejiang, China
inferred← citeshttps://doi.org/10.1007/978-3-319-78999-6_21openalex-snapshot
General Framework of Quantitative Target Selections
inferred← citeshttps://doi.org/10.1007/978-981-95-1770-1_2openalex-snapshot
Fundamentals of 2D Quantitative Forecasting in Mineral Resource Assessment
inferred← citeshttps://doi.org/10.1007/bf00890248openalex-snapshot
Regionalized favorability theory for information synthesis in mineral exploration
inferred← citeshttps://doi.org/10.1007/bf01782265openalex-snapshot
Developing a geographic expert system for regional mapping of volcanogenic massive sulfide (VMS) deposit potential
inferred← citeshttps://doi.org/10.1007/bf01782693openalex-snapshot
Fundamental issues in quantitative estimation of mineral resources
inferred← citeshttps://doi.org/10.1007/bf02257540openalex-snapshot
Indicator favorability theory for mineral potential mapping
inferred← citeshttps://doi.org/10.1007/bf02257585openalex-snapshot
Fractal pattern integration for mineral potential estimation
inferred← citeshttps://doi.org/10.1007/bf02257660openalex-snapshot
Asymmetric fuzzy relation analysis method for ranking geoscience variables
inferred← citeshttps://doi.org/10.1007/bf02259039openalex-snapshot
Large-scale mineral potential estimation for blind precious metal ore bodies
inferred← citeshttps://doi.org/10.1007/bf02259070openalex-snapshot
Extended weights of evidence modeling for the pseudo-estimation of metal grades
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/s00477-019-01689-9openalex-snapshot
Flash-flood Potential Index mapping using weights of evidence, decision Trees models and their novel hybrid integration
inferred← citeshttps://doi.org/10.1007/s10113-022-01965-5openalex-snapshot
Future scenarios of land use change in the Gran Chaco: how far is zero-deforestation?
inferred← citeshttps://doi.org/10.1007/s10346-020-01522-3openalex-snapshot
Coseismic landslides induced by the 2018 Mw 6.6 Iburi, Japan, Earthquake: spatial distribution, key factors weight, and susceptibility regionalization
inferred← citeshttps://doi.org/10.1007/s10346-022-01918-3openalex-snapshot
Predictive model of regional coseismic landslides’ permanent displacement considering uncertainty
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/s11004-011-9373-2openalex-snapshot
Comparison of Mathematical Methods of Potential Modeling
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/s11004-014-9565-7openalex-snapshot
Response to comment by Helmut Schaeben on “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/s11004-019-09844-2openalex-snapshot
Three-Dimensional Prospectivity Modeling of Honghai Volcanogenic Massive Sulfide Cu–Zn Deposit, Eastern Tianshan, Northwestern China Using Weights of Evidence and Fuzzy Logic
inferred← citeshttps://doi.org/10.1007/s11053-005-4674-0openalex-snapshot
Measuring the Performance of Mineral-Potential Maps
inferred← citeshttps://doi.org/10.1007/s11053-006-9010-9openalex-snapshot
Mineral-Potential Mapping: A Comparison of Weights-of-Evidence and Fuzzy Methods
inferred← citeshttps://doi.org/10.1007/s11053-006-9020-7openalex-snapshot
Mineral-Potential Mapping for MVT Deposits with Limited Data Sets Using Landsat Data and Geological Evidence in the Borden Basin, Northern Baffin Island, Nunavut, Canada
inferred← citeshttps://doi.org/10.1007/s11053-010-9117-xopenalex-snapshot
An Ordered Weights of Evidence Model for Ordered Discrete Variables
inferred← citeshttps://doi.org/10.1007/s11053-010-9128-7openalex-snapshot
Binary Pattern Recognition in the Presence of Correlated Multiple Dependent Variables
inferred← citeshttps://doi.org/10.1007/s11053-011-9138-0openalex-snapshot
A Modified Weights-of-Evidence Method for Regional Mineral Resource Estimation
inferred← citeshttps://doi.org/10.1007/s11053-015-9268-xopenalex-snapshot
Data-Driven Predictive Modeling of Mineral Prospectivity Using Random Forests: A Case Study in Catanduanes Island (Philippines)
inferred← citeshttps://doi.org/10.1007/s11053-017-9345-4openalex-snapshot
Machine Learning of Mineralization-Related Geochemical Anomalies: A Review of Potential Methods
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/s11053-017-9355-2openalex-snapshot
A MaxEnt Model for Mineral Prospectivity Mapping
inferred← citeshttps://doi.org/10.1007/s11053-018-9375-6openalex-snapshot
Isolation Forest as an Alternative Data-Driven Mineral Prospectivity Mapping Method with a Higher Data-Processing Efficiency
inferred← citeshttps://doi.org/10.1007/s11053-018-9435-yopenalex-snapshot
A Modified Weights-of-Evidence Method for Mineral Potential Prediction Based on Structural Equation Modeling
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/s11053-019-09589-zopenalex-snapshot
A Bat Algorithm-Based Data-Driven Model for Mineral Prospectivity Mapping
inferred← citeshttps://doi.org/10.1007/s11053-020-09769-2openalex-snapshot
Optimal Thresholding of Predictors in Mineral Prospectivity Analysis
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/s11053-021-09987-2openalex-snapshot
Joint Modeling Based on Singularity Mapping and U-statistical Methods for Geo-Anomaly Characterization
inferred← citeshttps://doi.org/10.1007/s11053-022-10093-0openalex-snapshot
Unlabeled Sample Selection for Mineral Prospectivity Mapping by Semi-supervised Support Vector Machine
inferred← citeshttps://doi.org/10.1007/s11053-023-10279-0openalex-snapshot
3D Au Targeting using Machine Learning with Different Sample Combination and Return-Risk Analysis in the Sanshandao-Cangshang District, Shandong Province, China
inferred← citeshttps://doi.org/10.1007/s11053-024-10390-wopenalex-snapshot
Mineral Reconnaissance Through Scientific Consensus: First National Prospectivity Maps for PGE–Ni–Cu–Cr and Witwatersrand-type Au Deposits in South Africa
inferred← citeshttps://doi.org/10.1007/s11053-024-10424-3openalex-snapshot
Mapping of Gold Prospectivity in the Qingchengzi Pb–Zn–Ag–Au Polymetallic District, China, with Ensemble Learning Algorithms
inferred← citeshttps://doi.org/10.1007/s11053-026-10726-8openalex-snapshot
Multi-Scale 3D Convolution Neural Network with Lightweight Attention Mechanisms for Mineral Prospectivity Mapping in Pulang Porphyry Deposit, Yunnan Province, Southwest China
inferred← citeshttps://doi.org/10.1007/s11069-005-6141-yopenalex-snapshot
Predicting Lahar-Inundation Zones: Case Study in West Mount Pinatubo, Philippines
inferred← citeshttps://doi.org/10.1007/s11629-019-5491-yopenalex-snapshot
Land use scenario simulation of mountainous districts based on Dinamica EGO model
inferred← citeshttps://doi.org/10.1007/s11707-014-0465-4openalex-snapshot
The use of evidential belief functions for mineral potential mapping in the Nanling belt, South China
inferred← citeshttps://doi.org/10.1007/s11771-009-0164-6openalex-snapshot
Quantitative analysis of geological ore-controlling factors and stereoscopic quantitative prediction of concealed ore bodies
inferred← citeshttps://doi.org/10.1007/s11771-020-4347-5openalex-snapshot
Geosciences in Central South University: A state-of-the-art review
inferred← citeshttps://doi.org/10.1007/s12040-025-02625-yopenalex-snapshot
Spatial prediction of landslides in Pithoragarh district, Kumaon Himalaya, India
inferred← citeshttps://doi.org/10.1007/s12145-013-0128-0openalex-snapshot
A method for mineral prospectivity mapping integrating C4.5 decision tree, weights-of-evidence and m-branch smoothing techniques: a case study in the eastern Kunlun Mountains, China
inferred← citeshttps://doi.org/10.1007/s12517-012-0807-zopenalex-snapshot
Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya
inferred← citeshttps://doi.org/10.1007/s12517-013-0902-9openalex-snapshot
Integration multisource data for mineral exploration by using fuzzy logic, case study: Taknar deposit, NE of Iran
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/s12517-022-09974-8openalex-snapshot
Landslide susceptibility modeling based on GIS and ensemble techniques
inferred← citeshttps://doi.org/10.1007/s12524-023-01776-zopenalex-snapshot
GIS-Based Flood Susceptibility Mapping of Srinagar District, India Using Weights-of-Evidence (WofE), Frequency Ratio (FR) and Fuzzy Gamma Operator (FGO)
inferred← citeshttps://doi.org/10.1007/s12665-017-6471-6openalex-snapshot
Rock fall susceptibility assessment along a mountainous road: an evaluation of bivariate statistic, analytical hierarchy process and frequency ratio
inferred← citeshttps://doi.org/10.1007/s41748-024-00520-yopenalex-snapshot
Comparative Assessment of Rockfall Susceptibility in the Potohar Plateau Using Frequency Ratio, Analytical Hierarchy Process, and Weights of Evidence Models
inferred← citeshttps://doi.org/10.1016/0375-6742(94)90013-2openalex-snapshot
The separation of geochemical anomalies from background by fractal methods
inferred← citeshttps://doi.org/10.1016/j.cageo.2004.07.002openalex-snapshot
MRPM: three visual basic programs for mineral resource potential mapping
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.2009.02.008openalex-snapshot
Objective selection of suitable unit cell size in data-driven modeling of mineral prospectivity
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.2016.01.012openalex-snapshot
GeoCube: A 3D mineral resources quantitative prediction and assessment system
inferred← citeshttps://doi.org/10.1016/j.cageo.2021.104899openalex-snapshot
Landslide susceptibility assessment using weights-of-evidence model and cluster analysis along the highways in the Hubei section of the Three Gorges Reservoir Area
inferred← citeshttps://doi.org/10.1016/j.chemer.2022.125898openalex-snapshot
Hybrid outranking of geospatial data: Multi attributive ideal-real comparative analysis and combined compromise solution
inferred← citeshttps://doi.org/10.1016/j.ejrs.2022.12.010openalex-snapshot
Landslide susceptibility evaluation integrating weight of evidence model and InSAR results, west of Hubei Province, China
inferred← citeshttps://doi.org/10.1016/j.elerap.2022.101156openalex-snapshot
Who said what: Mining semantic features for success prediction in reward-based crowdfunding
inferred← citeshttps://doi.org/10.1016/j.foreco.2013.10.021openalex-snapshot
Farmers, flames, and forests: Historical ecology of pastoral fire use and landscape change in the French Western Pyrenees, 1830–2011
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.geomorph.2008.05.041openalex-snapshot
Predictive modelling of rainfall-induced landslide hazard in the Lesser Himalaya of Nepal based on weights-of-evidence
inferred← citeshttps://doi.org/10.1016/j.geomorph.2009.10.002openalex-snapshot
Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA
inferred← citeshttps://doi.org/10.1016/j.gexplo.2012.08.006openalex-snapshot
Application of geochemical anomaly identification methods in mapping of intermediate and felsic igneous rocks in eastern Tianshan, China
inferred← citeshttps://doi.org/10.1016/j.gexplo.2016.03.009openalex-snapshot
Recognition of significant multi-element geochemical signatures of porphyry Cu deposits in Noghdouz area, NW Iran
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.2017.03.017openalex-snapshot
A spatially weighted singularity mapping method applied to identify epithermal Ag and Pb-Zn polymetallic mineralization associated geochemical anomaly in Northwest Zhejiang, China
inferred← citeshttps://doi.org/10.1016/j.gexplo.2017.07.019openalex-snapshot
Anisotropic singularity: A novel way to characterize controlling effects of geological processes on mineralization
inferred← citeshttps://doi.org/10.1016/j.gexplo.2019.05.003openalex-snapshot
Modeling geochemical anomalies of stream sediment data through a weighted drainage catchment basin method for detecting porphyry Cu-Au mineralization
inferred← citeshttps://doi.org/10.1016/j.gexplo.2022.106963openalex-snapshot
Gold prospectivity mapping and exploration targeting in Hutti-Maski schist belt, India: Synergistic application of Weights-of-Evidence (WOE), Fuzzy Logic (FL) and hybrid (WOE-FL) models
inferred← citeshttps://doi.org/10.1016/j.gexplo.2023.107326openalex-snapshot
Auto encoder generative adversarial networks - based mineral prospectivity mapping in Lhasa area, Tibet
inferred← citeshttps://doi.org/10.1016/j.jafrearsci.2016.12.001openalex-snapshot
GIS prospectivity mapping and 3D modeling validation for potential uranium deposit targets in Shangnan district, China
inferred← citeshttps://doi.org/10.1016/j.jafrearsci.2020.104098openalex-snapshot
Three dimensional mineral prospectivity modeling by evidential belief functions, a case study from Kahang porphyry Cu deposit
inferred← citeshttps://doi.org/10.1016/j.jafrearsci.2021.104143openalex-snapshot
Mapping gold mineral prospectivity based on weights of evidence method in southeast Asmara, Eritrea
inferred← citeshttps://doi.org/10.1016/j.jafrearsci.2024.105482openalex-snapshot
A novel approach for integrating spatial data in gold prospectivity mapping using a modified TODIM method, a case study: Basiran-Mokhtaran - Eastern Iran
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2021.126846openalex-snapshot
Flood hazard mapping methods: A review
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.128072openalex-snapshot
Comparison of statistical and MCDM approaches for flood susceptibility mapping in northern Iran
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.133008openalex-snapshot
Land subsidence simulation considering groundwater and compressible layers based on an improved machine learning method
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2010.04.002openalex-snapshot
Weights-of-evidence and logistic regression modeling of magmatic nickel sulfide prospectivity in the Yilgarn Craton, Western Australia
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2014.08.012openalex-snapshot
Mineral potential mapping with a restricted Boltzmann machine
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.2014.10.016openalex-snapshot
Fuzzy inference systems for prospectivity modeling of mineral systems and a case-study for prospectivity mapping of surficial Uranium in Yeelirrie Area, Western Australia
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.2015.11.011openalex-snapshot
A prospecting cost-benefit strategy for mineral potential mapping based on ROC curve analysis
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2017.04.029openalex-snapshot
Maximum entropy modeling for orogenic gold prospectivity mapping in the Tangbale-Hatu belt, western Junggar, 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.2017.09.016openalex-snapshot
Integrated GIS-based modelling for the quantitative prediction of magmatic Ti-V-Fe deposits: A case study in the Panzhihua-Xichang area of southwest China
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2017.09.024openalex-snapshot
Spatially quantitative characterization of geological processes associated with polymetallic Sn-W mineralization in the Malipo mineral district, Southeastern Yunnan, China
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2018.11.019openalex-snapshot
Mineral prospectivity analysis for BIF iron deposits: A case study in the Anshan-Benxi area, Liaoning province, North-East China
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2021.103985openalex-snapshot
Prospectivity modelling of Canadian magmatic Ni (±Cu ± Co ± PGE) sulphide mineral systems
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2021.104635openalex-snapshot
Data–driven prospectivity modelling of sediment–hosted Zn–Pb mineral systems and their critical raw materials
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2023.105706openalex-snapshot
A high-performance voting-based ensemble model of graph convolutional extreme learning machines for identifying geochemical anomalies related to mineralization
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2024.106007openalex-snapshot
CNN-Transformers for mineral prospectivity mapping in the Maodeng–Baiyinchagan area, Southern Great Xing'an Range
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2024.106248openalex-snapshot
Mineral prospectivity mapping susceptibility evaluation based on interpretable ensemble learning
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2024.106260openalex-snapshot
Semi-supervised graph convolutional networks for integrating continuous and binary evidential layers for mineral exploration targeting
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2025.106458openalex-snapshot
Simulation-based mineral prospectivity modeling and Gray Wolf optimization algorithm for delimiting exploration targets
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2026.107307openalex-snapshot
Data-driven Self-Organizing Map approach for Cu–Au mineral prospectivity mapping in the Rengali Province, eastern India
inferred← citeshttps://doi.org/10.1016/j.renene.2020.02.044openalex-snapshot
Geothermal resource potential assessment of Fujian Province, China, based on geographic information system (GIS) -supported models
inferred← citeshttps://doi.org/10.1016/j.rser.2026.117164openalex-snapshot
Review on geothermal prospectivity mapping: Global trends, challenges, and future directions
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2018.12.397openalex-snapshot
Flash-Flood Potential assessment in the upper and middle sector of Prahova river catchment (Romania). A comparative approach between four hybrid models
inferred← citeshttps://doi.org/10.1016/j.spasta.2019.100382openalex-snapshot
BWM-ARAS: A new hybrid MCDM method for Cu prospectivity mapping in the Abhar area, NW Iran
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/10.1021/es702998ropenalex-snapshot
Quantitative Lines of Evidence for Screening-Level Diagnostic Assessment of Regional Fish Community Impacts: A Comparison of Spatial Database Evaluation Methods
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:1013980810867openalex-snapshot
Appreciation of Contributions by Georges Matheron and John Tukey to a Mineral-Resources Research Project
inferred← citeshttps://doi.org/10.1023/a:1021193827501openalex-snapshot
Conditional Independence Test for Weights-of-Evidence Modeling
inferred← citeshttps://doi.org/10.1023/a:1021606417010openalex-snapshot
A Comparison of the Weights-of-Evidence Method and Probabilistic Neural Networks
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/10.1023/a:1023870231452openalex-snapshot
Indicator Pattern Combination for Mineral Resource Potential Mapping with the General C-F Model
inferred← citeshttps://doi.org/10.1023/b:narr.0000023304.47632.b9openalex-snapshot
Cause-Effect Analysis in Assessment of Mineral Resources
inferred← citeshttps://doi.org/10.1023/b:narr.0000046919.87758.f5openalex-snapshot
Weights of Evidence Modeling of Mineral Potential: A Case Study Using Small Number of Prospects, Abra, Philippines
inferred← citeshttps://doi.org/10.1080/02626667.2017.1393541openalex-snapshot
Perennial springs provide information to predict low flows in mountain basins
inferred← citeshttps://doi.org/10.1080/08120099.2017.1328705openalex-snapshot
Mapping mineral prospectivity by using one-class support vector machine to identify multivariate geological anomalies from digital geological survey data
inferred← citeshttps://doi.org/10.1080/19475705.2011.629007openalex-snapshot
A replication of landslide hazard mapping at catchment scale
inferred← citeshttps://doi.org/10.1088/2515-7620/ad9cf2openalex-snapshot
A study on forest fire risk assessment in jiangxi province based on machine learning and geostatistics
inferred← citeshttps://doi.org/10.1109/geoinformatics.2011.5980788openalex-snapshot
Uncertainty mapping method for mineral resources prospectivity integrating multi-source geology spatial data sets and evidence reasoning model
inferred← citeshttps://doi.org/10.1109/icsdm.2011.5969012openalex-snapshot
A spatial data mining method for mineral resources potential assessment
inferred← citeshttps://doi.org/10.1111/j.1467-9671.2012.01341.xopenalex-snapshot
A Multi‐Objective, Multi‐Criteria Approach to Improve Situational Awareness in Emergency Evacuation Routing Using Mobile Phone Data
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/10.1144/sp526-2021-190openalex-snapshot
Public geoscience solutions for diversifying Canada's critical mineral production
inferred← citeshttps://doi.org/10.1155/2018/7945960openalex-snapshot
Modified Weights‐of‐Evidence Modeling with Example of Missing Geochemical Data
inferred← citeshttps://doi.org/10.1177/01445987261471561openalex-snapshot
Mineral resources prediction and evaluation based on an improved entropy weight method and uncertainty measure theory
inferred← citeshttps://doi.org/10.1186/s40517-024-00298-2openalex-snapshot
A revised weight of evidence model for potential assessments of geothermal resources: a case study at western Sichuan Plateau, China
inferred← citeshttps://doi.org/10.1190/1.1826729openalex-snapshot
Recent development for optimum data integration in mineral exploration
inferred← citeshttps://doi.org/10.12677/ag.2019.911125openalex-snapshot
Research on the Susceptibility and Risk Zoning of Geological Disasters along the Southwest China Gas Pipeline Based on FR and WOE Evaluation Models
inferred← citeshttps://doi.org/10.2113/0100165openalex-snapshot
Logistic Regression for Geologically Constrained Mapping of Gold Potential, Baguio District, Philippines
inferred← citeshttps://doi.org/10.2113/0100273openalex-snapshot
Extended Weights-of-Evidence Modelling for Predictive Mapping of Base Metal Deposit Potential in Aravalli Province, Western India
inferred← citeshttps://doi.org/10.21236/ada539945openalex-snapshot
Sediment Ecosystem Assessment Protocol (SEAP): An Accurate and Integrated Weight-of-Evidence Based System
inferred← citeshttps://doi.org/10.2139/ssrn.5127425openalex-snapshot
The Main Factors Influencing Land Subsidence in the Beijing Plain Revealed by an Improved Data-Driven Approach
inferred← citeshttps://doi.org/10.2747/1548-1603.47.4.514openalex-snapshot
Mineral Potential Mapping for Cu-Pb-Zn Deposits in the East Kunlun Region, Qinghai Province, China, Integrating Multi-source Geology Spatial Data Sets and Extended Weights-of-Evidence Modeling
inferred← citeshttps://doi.org/10.3126/jngs.v53i0.23808openalex-snapshot
Landslide hazard mapping in GIS
inferred← citeshttps://doi.org/10.3389/feart.2025.1489969openalex-snapshot
Determination of geospatial criteria and prediction of potential areas for porphyry copper deposits in Kazakhstan
inferred← citeshttps://doi.org/10.3390/geosciences16060244openalex-snapshot
Geology-Guided Fixed-Group Fusion ResUNet for Predicting Calcrete-Type Uranium Prospectivity: A Case Study from the Yilgarn Craton, Western Australia
inferred← citeshttps://doi.org/10.3390/land12040914openalex-snapshot
Sustainability Consequences of Making Land Change Decisions Based on Current Climatology in the Brazilian Cerrados
inferred← citeshttps://doi.org/10.3390/land4030670openalex-snapshot
Modelling Deforestation and Land Cover Transitions of Tropical Peatlands in Sumatra, Indonesia Using Remote Sensed Land Cover Data Sets
inferred← citeshttps://doi.org/10.3390/min13050608openalex-snapshot
Application of Logistic Regression and Weights of Evidence Methods for Mapping Volcanic-Type Uranium Prospectivity
inferred← citeshttps://doi.org/10.3390/min15030222openalex-snapshot
Utilizing Multifractal and Compositional Data Analysis Combined with Random Forest for Mineral Prediction in Goulmima, Morocco
inferred← citeshttps://doi.org/10.3390/min9090556openalex-snapshot
Application of a Maximum Entropy Model for Mineral Prospectivity Maps
inferred← citeshttps://doi.org/10.3390/su152115221openalex-snapshot
Modeling and Assessment of Landslide Susceptibility of Dianchi Lake Watershed in Yunnan Plateau
inferred← citeshttps://doi.org/10.4236/jgis.2012.42011openalex-snapshot
Mineral Prospectivity Mapping Method Integrating Multi-Sources Geology Spatial Data Sets and Case-Based Reasoning
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
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.