Regional Quantitative Mineral Prospectivity Mapping of W, Sn, and Nb-Ta Based on Integrated Information in Rwanda, Central Africa

As the need to discovers new mineral deposits and occurrences has intensified in recent years, it become increasingly apparent that we map potentials via integrated information on basis of metallogeny. Occurrences mineralization such as tungsten (W), tin (Sn), columbium (Nb), tantalum (Ta), gold (Au), copper (Cu), lead (Pb), zinc (Zn), manganese (Mn) monazite (Mnz) have been discovered Rwanda. The objective this study was present a regional quantitative prospectivity mapping (MPM) W, Sn Nb-Ta Rwanda using random forest (RF) method open source data, geological maps, Bouguer gravity anomalies, magnetic Landsat 8 images, ASTER GDEM, Globeland30, OpenStreetMap. In addition, newly introduced interpolation–density–delineation (IDD) process applied deal with blank (masked) areas remotely sensed alteration extraction. Additionally, k2-fold cross-validation also proposed obtain more reasonable test errors. Firstly, metallogenic regularity summarized help articles online. Secondly, original geological, geophysical, remote sensing data were utilized generate secondary data. Specifically, IDD subsequent directed principal component analysis (DPCA) reconstruct anomaly map, relevant dataset formed by combination Thirdly, specific predictor layers for selected from spatial correlation known deposits, respectively, predictive models established. Finally, near 26,000 squares zoned Rwanda, RF optimized applied, assess errors, belts prospective Sn, delineated total potential likelihoods map. Results proved online valid drawing preliminary Furthermore, shown is suitable postprocessing masked maps. Belt IV-4 northwest belt IV-2, IV-1 middle-east containing number areas, possess considerable mining at its dawn, worth expecting.