L Wilkinson

Digital Economy as a Factor in the Technological Development of the Mineral Sector

GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

Random Forest-Based Prospectivity Modelling of Greenfield Terrains Using Sparse Deposit Data: An Example from the Tanami Region, Western Australia

Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA

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

Assessment of ground subsidence using GIS and the weights-of-evidence model

Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS

Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran

Groundwater favorability map using GIS multicriteria data analysis on crystalline terrain, São Paulo State, Brazil

Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area

Effective use and interpretation of lithogeochemical data in regional mineral exploration programs: application of Geographic Information Systems (GIS) technology

Application of GIS Processing Techniques for Producing Mineral Prospectivity Maps—A Case Study: Mesothermal Au in the Swayze Greenstone Belt, Ontario, Canada