Uncertainties in GIS-based mineral prospectivity mapping: Key types, potential impacts and possible solutions

R Zuo, OP Kreuzer, J Wang, Y Xiong, Z Zhang… - Natural Resources …, 2021 - Springer
GIS-based mineral prospectivity mapping (MPM) is a computer-aided methodology for
delineating and better constraining target areas deemed prospective for mineral deposits of …

Controls on mineral deposit occurrence inferred from analysis of their spatial pattern and spatial association with geological features

EJM Carranza - Ore Geology Reviews, 2009 - Elsevier
In this paper, point pattern analysis, fractal analysis and Fry analysis were employed to study
the spatial pattern of known occurrences of mineral deposits of the type sought, whereas …

[图书][B] Geochemical anomaly and mineral prospectivity mapping in GIS

EJM Carranza - 2008 - books.google.com
Geochemical Anomaly and Mineral Prospectivity Mapping in GIS documents and explains,
in three parts, geochemical anomaly and mineral prospectivity mapping by using a …

Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines)

EJM Carranza, AG Laborte - Computers & Geosciences, 2015 - Elsevier
Abstract Machine learning methods that have been used in data-driven predictive modeling
of mineral prospectivity (eg, artificial neural networks) invariably require large number of …

Application of an evidential belief function model in landslide susceptibility mapping

OF Althuwaynee, B Pradhan, S Lee - Computers & Geosciences, 2012 - Elsevier
The objective of this paper is to exploit the potential application of an evidential belief
function model to landslide susceptibility mapping at Kuala Lumpur city and surrounding …

Land subsidence susceptibility mapping at Kinta Valley (Malaysia) using the evidential belief function model in GIS

B Pradhan, MH Abokharima, MN Jebur, MS Tehrany - Natural hazards, 2014 - Springer
Land subsidence is one of the frequent geological hazards worldwide. Urban areas and
agricultural industries are the entities most affected by the consequences of land …

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 …

G McKay, JR Harris - Natural Resources Research, 2016 - Springer
This paper outlines the process taken to create two separate gold prospectivity maps. The
first was created using a combination of several knowledge-driven (KD) techniques. The …

Evidential belief functions for data-driven geologically constrained mapping of gold potential, Baguio district, Philippines

EJM Carranza, M Hale - Ore Geology Reviews, 2003 - Elsevier
A data-driven application of the theory of evidential belief to map mineral potential is
demonstrated with a redefinition of procedures to estimate evidential belief functions. The …

An uncertainty and sensitivity analysis approach for GIS-based multicriteria landslide susceptibility mapping

B Feizizadeh, T Blaschke - International Journal of Geographical …, 2014 - Taylor & Francis
GIS-based multicriteria decision analysis (MCDA) methods are increasingly being used in
landslide susceptibility mapping. However, the uncertainties that are associated with MCDA …

Geometric average of spatial evidence data layers: a GIS-based multi-criteria decision-making approach to mineral prospectivity mapping

M Yousefi, EJM Carranza - Computers & Geosciences, 2015 - Elsevier
Techniques for GIS-based multicriteria decision-making (GIS-MCDM), like mineral
prospectivity mapping (MPM), are concerned with combining information from several …