Salome Wabuyele Wabuyele | University of Twente, Faculty of Geoinformation Science and Earth Observation (ITC) (original) (raw)
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Papers by Salome Wabuyele Wabuyele
This book seeks to restore the cartographic glory that has in the near passed been lost as many m... more This book seeks to restore the cartographic glory that has in the near passed been lost as many map makers rush to produce maps using G.I.S but totally disregard the Cartographic rules. Its unique approach is the combination of technology, creativity and knowhow to give users of the book a comprehensive approach to designing a web based detailed basemap. It includes step by step description on designing a multi-scale basemap, software that may be used recommendation, tile creation and publishing the basemap online.
Mineral Potential modeling produces maps showing areas that are most likely to contain economic c... more Mineral Potential modeling produces maps showing areas that are most likely to contain economic concentrations of minerals to be explored. The maps can also be used to serve other purposes like showing where the most prospective areas are relative to residential areas, existing mine sites, historical exploration, or processing facilities. These maps are also known as predictive or posterior probability maps because they show the statistical probability of the metal or mineral of interest occurring in a predetermined area.
The Maps present probability data ranked in terms of high probability of occurrence to the least, which are interpreted as a relative measure of favourability by (e.g. high, moderate, low, or poor). These classified and ranked maps are then used by explorers to prioritize their investment targeting highly prospective areas and place lesser importance or even completely ignore land that is not prospective.
The objective of this paper is to introduce Geospatial correlative integration (GCI) modeling methodology, a framework of conflating different GIS based tasks and, using GIS as a basic tool to create maps and applications for use as prediction documents in different disciplines of geosciences. GCI has successfully been used in different countries globally for different geo-scientific applications and the paper explains data requirements, validation techniques, and finally a discussion / conclusion.
This book seeks to restore the cartographic glory that has in the near passed been lost as many m... more This book seeks to restore the cartographic glory that has in the near passed been lost as many map makers rush to produce maps using G.I.S but totally disregard the Cartographic rules. Its unique approach is the combination of technology, creativity and knowhow to give users of the book a comprehensive approach to designing a web based detailed basemap. It includes step by step description on designing a multi-scale basemap, software that may be used recommendation, tile creation and publishing the basemap online.
Mineral Potential modeling produces maps showing areas that are most likely to contain economic c... more Mineral Potential modeling produces maps showing areas that are most likely to contain economic concentrations of minerals to be explored. The maps can also be used to serve other purposes like showing where the most prospective areas are relative to residential areas, existing mine sites, historical exploration, or processing facilities. These maps are also known as predictive or posterior probability maps because they show the statistical probability of the metal or mineral of interest occurring in a predetermined area.
The Maps present probability data ranked in terms of high probability of occurrence to the least, which are interpreted as a relative measure of favourability by (e.g. high, moderate, low, or poor). These classified and ranked maps are then used by explorers to prioritize their investment targeting highly prospective areas and place lesser importance or even completely ignore land that is not prospective.
The objective of this paper is to introduce Geospatial correlative integration (GCI) modeling methodology, a framework of conflating different GIS based tasks and, using GIS as a basic tool to create maps and applications for use as prediction documents in different disciplines of geosciences. GCI has successfully been used in different countries globally for different geo-scientific applications and the paper explains data requirements, validation techniques, and finally a discussion / conclusion.