标题
Geodata Science-Based Mineral Prospectivity Mapping: A Review
作者
关键词
-
出版物
Natural Resources Research
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-05-19
DOI
10.1007/s11053-020-09700-9
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Data-Driven Predictive Modelling of Mineral Prospectivity Using Machine Learning and Deep Learning Methods: A Case Study from Southern Jiangxi Province, China
- (2020) Tao Sun et al. Minerals
- A scale-integrated exploration model for orogenic gold deposits based on a mineral system approach
- (2020) David I. Groves et al. Geoscience Frontiers
- Towards producing mineral resource-potential maps within a mineral systems framework, with emphasis on Australian orogenic gold systems
- (2020) Rhys S. Davies et al. ORE GEOLOGY REVIEWS
- Introduction to the special issue on spatial modelling and analysis of ore-forming processes in mineral exploration targeting
- (2020) Oliver P. Kreuzer et al. ORE GEOLOGY REVIEWS
- A Monte Carlo-based framework for risk-return analysis in mineral prospectivity mapping
- (2020) Ziye Wang et al. Geoscience Frontiers
- Effects of Random Negative Training Samples on Mineral Prospectivity Mapping
- (2020) Renguang Zuo et al. Natural Resources Research
- Deep learning and process understanding for data-driven Earth system science
- (2019) Markus Reichstein et al. NATURE
- Deep learning and its application in geochemical mapping
- (2019) Renguang Zuo et al. EARTH-SCIENCE REVIEWS
- GeoDocA - Fast Analysis of Geological Content in Mineral Exploration Reports: A Text Mining Approach
- (2019) Eun-Jung Holden et al. ORE GEOLOGY REVIEWS
- Applications of deep convolutional neural networks in prospecting prediction based on two-dimensional geological big data
- (2019) Shi Li et al. NEURAL COMPUTING & APPLICATIONS
- Mapping Mineral Prospectivity via Semi-supervised Random Forest
- (2019) Jian Wang et al. Natural Resources Research
- Translating expressions of intrusion-related mineral systems into mappable spatial proxies for mineral potential mapping: Case studies from the Southern New England Orogen, Australia
- (2019) A. Ford et al. ORE GEOLOGY REVIEWS
- Exploration information systems – A proposal for the future use of GIS in mineral exploration targeting
- (2019) Mahyar Yousefi et al. ORE GEOLOGY REVIEWS
- Geodata science and geochemical mapping
- (2019) Renguang Zuo et al. JOURNAL OF GEOCHEMICAL EXPLORATION
- Information extraction and knowledge graph construction from geoscience literature
- (2018) Chengbin Wang et al. COMPUTERS & GEOSCIENCES
- Prospecting Information Extraction by Text Mining Based on Convolutional Neural Networks — A case study of the Lala Copper Deposit, China
- (2018) Li Shi et al. IEEE Access
- Mapping mineral prospectivity through big data analytics and a deep learning algorithm
- (2018) Yihui Xiong et al. ORE GEOLOGY REVIEWS
- Mapping mineral prospectivity using an extreme learning machine regression
- (2017) Yongliang Chen et al. ORE GEOLOGY REVIEWS
- Big Data Analytics of Identifying Geochemical Anomalies Supported by Machine Learning Methods
- (2017) Renguang Zuo et al. Natural Resources Research
- Natural Resources Research Publications on Geochemical Anomaly and Mineral Potential Mapping, and Introduction to the Special Issue of Papers in These Fields
- (2017) Emmanuel John M. Carranza Natural Resources Research
- Machine Learning of Mineralization-Related Geochemical Anomalies: A Review of Potential Methods
- (2017) Renguang Zuo Natural Resources Research
- Mapping mineral prospectivity for Cu polymetallic mineralization in southwest Fujian Province, China
- (2016) Yuan Gao et al. ORE GEOLOGY REVIEWS
- Big Earth Data from space: a new engine for Earth science
- (2016) Huadong Guo et al. Science Bulletin
- Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines)
- (2015) Emmanuel John M. Carranza et al. COMPUTERS & GEOSCIENCES
- Data-driven predictive mapping of gold prospectivity, Baguio district, Philippines: Application of Random Forests algorithm
- (2015) Emmanuel John M. Carranza et al. ORE GEOLOGY REVIEWS
- Data- and knowledge-driven mineral prospectivity maps for Canada's North
- (2015) J.R. Harris et al. ORE GEOLOGY REVIEWS
- Introduction to the Special Issue: GIS-based mineral potential modelling and geological data analyses for mineral exploration
- (2015) Alok Porwal et al. ORE GEOLOGY REVIEWS
- Evaluation of uncertainty in mineral prospectivity mapping due to missing evidence: A case study with skarn-type Fe deposits in Southwestern Fujian Province, China
- (2015) Renguang Zuo et al. ORE GEOLOGY REVIEWS
- Mineral potential mapping with a restricted Boltzmann machine
- (2015) Yongliang Chen ORE GEOLOGY REVIEWS
- Receiver operating characteristics (ROC) as validation tool for prospectivity models — A magmatic Ni–Cu case study from the Central Lapland Greenstone Belt, Northern Finland
- (2015) Vesa Nykänen et al. ORE GEOLOGY REVIEWS
- Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines
- (2015) V. Rodriguez-Galiano et al. ORE GEOLOGY REVIEWS
- 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
- (2015) ZhenJie Zhang et al. Science China-Earth Sciences
- 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
- (2015) G. McKay et al. Natural Resources Research
- Data-Driven Predictive Modeling of Mineral Prospectivity Using Random Forests: A Case Study in Catanduanes Island (Philippines)
- (2015) Emmanuel John M. Carranza et al. Natural Resources Research
- Predictive modelling of gold potential with the integration of multisource information based on random forest: a case study on the Rodalquilar area, Southern Spain
- (2014) V.F. Rodriguez-Galiano et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Ontology learning from text
- (2012) Wilson Wong et al. ACM COMPUTING SURVEYS
- Support vector machine: A tool for mapping mineral prospectivity
- (2010) Renguang Zuo et al. COMPUTERS & GEOSCIENCES
- Translating the mineral systems approach into an effective exploration targeting system
- (2010) T. Campbell McCuaig et al. ORE GEOLOGY REVIEWS
- RUSBoost: A Hybrid Approach to Alleviating Class Imbalance
- (2009) Chris Seiffert et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
- Linking Mineral Deposit Models to Quantitative Risk Analysis and Decision-Making in Exploration
- (2008) O. P. Kreuzer et al. ECONOMIC GEOLOGY
- Selection of coherent deposit-type locations and their application in data-driven mineral prospectivity mapping
- (2007) E.J.M. Carranza et al. ORE GEOLOGY REVIEWS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now