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Developing a geographic expert system for regional mapping of volcanogenic massive sulfide (VMS) deposit potential
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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/bf01782111openalex-snapshot
Combining indicator patterns in weights of evidence modeling for resource evaluation
inferredcites →https://doi.org/10.1016/0098-3004(91)90097-wopenalex-snapshot
Emulating the prospector expert system with a raster gis
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/10.1080/07038992.1991.10855292openalex-snapshot
A Decision-Tree Approach to Mineral Potential Mapping in Snow Lake Area, Manitoba
inferredcites →https://doi.org/10.1109/tgrs.1990.572988openalex-snapshot
Integration Of Geophysical And Geological Data Using Evidential Belief Function
inferredcites →https://doi.org/10.1126/science.217.4563.927openalex-snapshot
Recognition of a Hidden Mineral Deposit by an Artificial Intelligence Program
inferredcites →https://doi.org/10.1126/science.245.4913.76openalex-snapshot
Computer Programs for Mineral Exploration
inferredcites →https://doi.org/10.4095/128079openalex-snapshot
Prospector III: towards a map-based expert system for regional mineral resource assessment
inferredcites →https://doi.org/10.4095/132363openalex-snapshot
Geology and Mineral Deposits of the Flin Flon and Thompson Belts, Manitoba [Field Trip 10]
inferredcites →https://doi.org/10.6010/geoinformatics1990.2.2_159openalex-snapshot
Combination Rules of Spatial Geoscience Data for Mineral Exploration
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/3-540-36901-5_38openalex-snapshot
Statistics Based Predictive Geo-spatial Data Mining: Forest Fire Hazardous Area Mapping Application
inferred← citeshttps://doi.org/10.1007/bf02257540openalex-snapshot
Indicator favorability theory for mineral potential mapping
inferred← citeshttps://doi.org/10.1007/s11053-017-9325-8openalex-snapshot
Knowledge-Driven Prospectivity Mapping for Granite-Related Polymetallic Sn–F–(REE) mineralization, Bushveld Igneous Complex, South Africa
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/s11053-021-09918-1openalex-snapshot
A Hybrid Logistic Regression: Gene Expression Programming Model and Its Application to Mineral Prospectivity Mapping
inferred← citeshttps://doi.org/10.1007/s12145-022-00803-wopenalex-snapshot
Prospectivity mapping of orogenic lode gold deposits using fuzzy models: a case study of Saqqez area, NW of Iran
inferred← citeshttps://doi.org/10.1016/b978-0-08-041867-4.50006-0openalex-snapshot
Introduction to GIS
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/j.cageo.2005.03.018openalex-snapshot
Bayesian network classifiers for mineral potential mapping
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2010.06.002openalex-snapshot
Introduction to the Special Issue: Mineral prospectivity analysis and quantitative resource estimation
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.procs.2014.09.067openalex-snapshot
The Assessment of Machine Learning Model Performance for Predicting Alluvial Deposits Distribution
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/10.1046/j.1440-0952.2000.00807.xopenalex-snapshot
Artificial neural networks: A new method for mineral prospectivity mapping
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/10.1109/sims.2014.22openalex-snapshot
Point-Based Model for Predicting Mineral Deposit Using GIS and Machine Learning
inferred← citeshttps://doi.org/10.3745/kipstd.2002.9d.6.1119openalex-snapshot
Prediction of Forest Fire Hazardous Area Using Predictive Spatial Data Mining
inferred← citeshttps://doi.org/10.4018/978-1-4666-5888-2.ch310openalex-snapshot
Predictive Expert Models for Mineral Potential Mapping
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