Application of Data-Driven Evidential Belief Functions to Prospectivity Mapping for Aquamarine-Bearing Pegmatites, Lundazi District, Zambia

  title={Application of Data-Driven Evidential Belief Functions to Prospectivity Mapping for Aquamarine-Bearing Pegmatites, Lundazi District, Zambia},
  author={Emmanuel John M. Carranza and Tsehaie Woldai and Ezekiah Chikambwe},
  journal={Natural Resources Research},
A case application of data-driven estimation of evidential belief functions (EBFs) is demonstrated to prospectivity mapping in Lundazi district (eastern Zambia). Spatial data used to represent recognition criteria of prospectivity for aquamarine-bearing pegmatites include mapped granites, mapped faults/fractures, mapped shear zones, and radioelement concentration ratios derived from gridded airborne radiometric data. Data-driven estimates EBFs take into account not only (a) spatial association… 

Data-Driven Evidential Belief Modeling of Mineral Potential Using Few Prospects and Evidence with Missing Values

Abstract Data-driven evidential belief (EB) modeling has already been demonstrated for mineral prospectivity mapping in areas with many (i.e., >20) deposits/prospects (i.e., with indicated/inferred

From Predictive Mapping of Mineral Prospectivity to Quantitative Estimation of Number of Undiscovered Prospects

This paper proposes that the spatial pattern of known prospects of the deposit‐type sought is the key to link predictive mapping of mineral prospectivity (PMMP) and quantitative mineral resource

Data-driven evidential belief function (EBF) model in exploring landslide susceptibility zones for the Darjeeling Himalaya, India

Abstract In the present study, data-driven evidential belief function model (belief function) was employed to generate landslides susceptibility index map of Darjeeling Himalaya considering 15

The use of evidential belief functions for mineral potential mapping in the Nanling belt, South China

In this study, the evidential belief functions (EBFs) were applied for mapping tungsten polymetallic potential in the Nanling belt, South China. Seven evidential layers (e.g., geological,

Spatial data analysis and application of evidential belief functions to shallow landslide susceptibility mapping at Mt. Umyeon, Seoul, Korea

Predictive mapping of landslide occurrence at the regional scale was performed at Mt. Umyeon, in the southern part of Seoul, Korea, using an evidential belief function (EBF) model. To generate the

Application of GIS-Based Evidential Belief Function Model to Regional Groundwater Recharge Potential Zones Mapping in Hardrock Geologic Terrain

The evidential belief function – Dempster-Shafer theory (EBF-DST) model was applied and validated for groundwater recharge potential zoning in the hard-rock geologic terrain, southwestern Nigeria,



Geologically Constrained Fuzzy Mapping of Gold Mineralization Potential, Baguio District, Philippines

An application of the theory of fuzzy sets to the mapping of gold mineralization potential in the Baguio gold mining district of the Philippines is described. Proximity to geological features is

The representation of geoscience information for data integration

Three representation methods—probability measures, Dempster-Shafer belief functions, and membership functions in fuzzy sets—and their corresponding estimation procedures are presented here with analyses of the implications and of the assumptions that are required in each approach to thematic mapping.

Integration of Remote Sensing and Geophysical/geological Data Using Dempster-Shafer Approach

  • W. Moon
  • Geology
    12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,
  • 1989
There are several methods available for integra­ ting remote sensing data sets and also for integrat­ ing them with other information such as geophysical and geological data. Several published

Integration Of Geophysical And Geological Data Using Evidential Belief Function

The partial belief function approach is examined as a means to integrate one set of airborne and/or ground geophysical data with other available geological and geophysicalData sets, and to update the existing information successively with newly observed data over target areas.

Representation and Integration of Geological, Geophysical and Remote Sensing Data

:In mineral exploration, most geological field data, including geochemical, geophysical and remote sensing data, have to be plotted onto a base map for the final analysis and interpretation. Re cent

The role of airborne gamma-ray spectrometry in bedrock mapping and mineral exploration: case studies from granitc rocks within the Meguma Zone, Nova Scotia

Field, petrographlcal and geochemical evidence collected from three case study areas within the peraluminous granites of the Meguma Zone Indicates that airborne gamma-ray spectrometric data can be a

On Knowledge-based Approach Of Integrating Remote Sensing, Geophysical And Geological Information

An object-oriented and map-based prototype expert system is developed for integrating geophysical, geological, and remote sensing data for base metal exploration and tested using real exploration