Mineral prospectivity mapping (MPM) based on the principle of geometric mean was applied to stream sediment geochemical, fault density, and aeromagnetic data from Tagmout basin, Morocco to determine new areas for optimizing copper exploration. The application of a fuzzy operator using stream sediment data, factor analysis, and fault density map, allowed weights to be assigned to these parameters so that the MPM function can process them to indicate the most favorable zones of copper mineralization. The model's accuracy as evaluated using a normalized density index (Nd with value 1.22) shows the reliability of the method. The potential copper concentration areas represent 8.22% of the entire basin of which 30% are concentrated in the western...
The quality of a mineral potential map is dependent on the quality of the input data used in the ana...
This paper describes the application of an unsupervised clustering method, fuzzy c-means (FCM), to g...
Mathematical geological models are being increasingly used by natural resources delineation and plan...
This article has been accepted for publication in Geocarto International, published by Taylor & Fran...
Analyzing and fusing information layers of exploratory parameters is a crucial stride for increasing...
This thesis presents mineral potential maps for prospecting porphyry deposits at the regional scale....
A Sugeno-type fuzzy inference system is implemented in the framework of an adaptive neural network t...
Mineral exploration targeting is a highly complex decision-making task. Two key risk factors, the qu...
Fuzzy set theory was successfully used to map areas of copper porphyry mineralization potential in t...
Complexities of geological processes portrayed as certain feature in a map (e.g., faults) are natura...
This paper proposes that the spatial pattern of known prospects of the deposit-type sought is the ke...
This study aimed to model the prospectivity for placer deposits using geomorphic and landscape param...
This paper describes a quantitative methodology for deriving optimal exploration target zones based ...
The application of fuzzy logic in a GIS framework is a valuable method to assist in mineral resource...
Introduction The growing demand for base metals such as iron, copper, lead and zinc on the one hand...
The quality of a mineral potential map is dependent on the quality of the input data used in the ana...
This paper describes the application of an unsupervised clustering method, fuzzy c-means (FCM), to g...
Mathematical geological models are being increasingly used by natural resources delineation and plan...
This article has been accepted for publication in Geocarto International, published by Taylor & Fran...
Analyzing and fusing information layers of exploratory parameters is a crucial stride for increasing...
This thesis presents mineral potential maps for prospecting porphyry deposits at the regional scale....
A Sugeno-type fuzzy inference system is implemented in the framework of an adaptive neural network t...
Mineral exploration targeting is a highly complex decision-making task. Two key risk factors, the qu...
Fuzzy set theory was successfully used to map areas of copper porphyry mineralization potential in t...
Complexities of geological processes portrayed as certain feature in a map (e.g., faults) are natura...
This paper proposes that the spatial pattern of known prospects of the deposit-type sought is the ke...
This study aimed to model the prospectivity for placer deposits using geomorphic and landscape param...
This paper describes a quantitative methodology for deriving optimal exploration target zones based ...
The application of fuzzy logic in a GIS framework is a valuable method to assist in mineral resource...
Introduction The growing demand for base metals such as iron, copper, lead and zinc on the one hand...
The quality of a mineral potential map is dependent on the quality of the input data used in the ana...
This paper describes the application of an unsupervised clustering method, fuzzy c-means (FCM), to g...
Mathematical geological models are being increasingly used by natural resources delineation and plan...