Spatial Technologies supplies spatial datasets comprised of background maps that have become essential in recent times. The spatial dataset background maps are up-to-date and accurate which is important for operational use, and knowing where suburb, city, or other administrative boundaries are can make planning much more effective. Often, the location of services that are situated near key locations will influence such planning decisions as setting sales territories.
Quality Spatial Platform (QSP) is the premium data set of Africa. It is an extremely comprehensive geographic map base encompassing a national atlas and data for both metropolitan and rural areas, which is updated bi-annually.
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This forerunning spatial dataset boasts all-inclusive street centre-lines, suburbs, cities, towns, administrative boundaries, points of interest, and a complete atlas. Quality Spatial Platform (QSP) is built using the same dataset as utilised by world-class GPS vehicle navigation systems and is available for most countries throughout Africa.
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The Points of Interest (POI) dataset is a definitive source for commercial, landmark and recreational destinations and hubs in Africa. It has been crafted to be a complete, current and positionally accurate data file for countries in Africa. The POI is a dataset of geographic and commercial features that highlight location and function information.
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Categories include filling stations, ATMS, taxi ranks, bus stations, schools, restaurants, hospital and clinics, business parks, retailers and more. It has never been easier to identify new site locations or prospects, to count competitor locations within a specific radius of your business locations, or to seek and identify customer touch points and marketing sites.
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The Diverse Spatial Platform (DSP) Atlas Data is an extensive topographic atlas for South Africa, comprised of features ranging from telco-towers, to inland water features, mines and more! The scale utilised is 1: 500 000, and the information source is the Department of Surveys and Mapping. The dataset includes, but is not limited to, the following: Airfields; Battlefields; Built-up Areas; Dam Walls; Inland Water; Lighthouses; Towns and Woodlands. This data provides an excellent and aesthetically pleasing mapping backdrop for a variety of spatial applications.
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