Data from OFESA Geoportal and GMES and Africa Geoportal was used to map the protected areas within East and South African region. The web map was created from Africa Geoportal, ArcGIS Online and the base map was provided from Open Street Map. Through the various data combinations, a dashboard was created for data visualization and analysis.

The compilation of a Soil and Terrain digital database for the South-African region forms a part of the ongoing activities of the Food and Agriculture Organisation of the United Nations (FAO) and the International Soil Reference and Information Centre (ISRIC) to update the world's baseline information on natural resources. The updating of world soil resources, using the Soil and Terrain (SOTER) digital database methodology, is part of a global SOTER programme and intended to replace the FAO/Unesco 1:5 million scale Soil Map of the World (1971-1981). The African sheet of this map was published in 1973 and has been compiled on basis of information and data available at that time. It is understandable that a substantial part does not reflect the present state of knowledge of the soils in that region. The national institutes, responsible for the natural resources inventories, have been collecting a wealth of new information on the distribution and occurrence of soils in their region, which has resulted in updating their national soil maps mostly at scale 1:1 million, often applying the Revised Legend (FAO, UNEP, ISRIC, 1988) for the description of the mapping units. The International Union of Soil Science (IUSS) adopted an important change in the classification used for the map by introducing lower levels of subunits of the World Reference Base for Soil Resources (IUSS, FAO, ISRIC, 1998). This, together with the new soil data available at national level, justified such an update of the soil resources for the Southern African region. The compilation of a Soil and Terrain digital database for the South-African region forms a part of the ongoing activities of the Food and Agriculture Organisation of the United Nations (FAO) and the International Soil Reference and Information Centre (ISRIC) to update the world?s baseline information on natural resources. The updating of world soil resources, using the Soil and Terrain (SOTER) digital database methodology, is part of a global SOTER programme and intended to replace the FAO/Unesco 1:5 million scale Soil Map of the World (1971-1981). The African sheet of this map was published in 1973 and has been compiled on basis of information and data available at that time. It is understandable that a substantial part does not reflect the present state of knowledge of the soils in that region. The national institutes, responsible for the natural resources inventories, have been collecting a wealth of new information on the distribution and occurrence of soils in their region, which has resulted in updating their national soil maps mostly at scale 1:1 million, often applying the Revised Legend (FAO, UNEP, ISRIC, 1988) for the description of the mapping units. The International Union of Soil Science (IUSS) adopted an important change in the classification used for the map by introducing lower levels of subunits of the World Reference Base for Soil Resources (IUSS, FAO, ISRIC, 1998). This, together with the new soil data available at national level, justified such an update of the soil resources for the Southern African region.

Note: This dataset has been updated with transmission lines for the MENA region. This is the most complete and up-to-date open map of Africa's electricity grid network. This dataset serves as an updated and improved replacement for the Africa Infrastructure Country Diagnostic (AICD) data that was published in 2007. Coverage This dataset includes planned and existing grid lines for all continental African countries and Madagascar, as well as the Middle East region. The lines range in voltage from sub-kV to 700 kV EHV lines, though there is a very large variation in the completeness of data by country. An interactive tool has been created for exploring this data, the Africa Electricity Grids Explorer. Sources The primary sources for this dataset are as follows: Africa Infrastructure Country Diagnostic (AICD) OSM © OpenStreetMap contributors For MENA: Arab Union of Electricity and country utilities. For West Africa: West African Power Pool (WAPP) GIS database World Bank projects archive and IBRD maps There were many additional sources for specific countries and areas. This information is contained in the files of this dataset, and can also be found by browsing the individual country datasets, which contain more extensive information. Limitations Some of the data, notably that from the AICD and from World Bank project archives, may be very out of date. Where possible this has been improved with data from other sources, but in many cases this wasn't possible. This varies significantly from country to country, depending on data availability. Thus, many new lines may exist which aren't shown, and planned lines may have completely changed or already been constructed. The data that comes from World Bank project archives has been digitized from PDF maps. This means that these lines should serve as an indication of extent and general location, but shouldn't be used for precisely location grid lines.

Title: Map of Rhodesia, under the administration of the British South Africa Company - Scale: 3900000

This raster layer is a georeferenced image of an historic regional map of Southern Africa originally created by Archibald Fullerton ca. 1870-1872. This map contains an inset: Peninsula of the Cape. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, or other information associated with the principal map. This map was georeferenced by the Stanford University Geospatial Center using a Transverse Mercator projection. This map is part of a selection of digitally scanned and georeferenced historic maps of Africa held at Stanford University Libraries.

The National Botanical Institute (NBI) has mapped woody plant species distribution to provide estimates of individual species contribution to peak leaf area index for designated vegetation types in southern Africa (Rutherford et al., 2000). The target was to account for 80% of the woody vegetation leaf area in terms of named species, for 80% of the surface area of Africa south of the equator. The data sources include published and unpublished species lists for vegetation types and individual sample plots, with the species contribution estimated by local experts in terms of dominants and subdominants. Source maps include: Low and Rebelo (1998); Giess (1971); Wild and Barbosa (1968); Barbosa (1970); and White (1983). Each source map delineates a wide variety of land cover categories that differ from region to region. Because vegetation discontinuities exist along some of the regional borders and a perfectly continuous regional map could not be achieved within the timeframe and budget of the project, the final map is made up of six independent sub-regional maps. A cross-referenced database of woody plant species, in order of species dominance, associated with all mapped units is provided.The data set contains six GIS shapefile archives, each containing a shape file for a given region in southern Africa on a 5 x 5 degree grid. An accompanying ASCII file contains the species list associated with the map files. The regional NBI Vegetation Map (a compilation of the 6 independent sub-regional coverages) is provided as a JPEG image.

This map is designed for use in ArcGIS Navigator and contains data for Africa supporting map display, geocoding and routing. Africa includes Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cabo Verde, Central African Republic, Chad, Comoros, Democratic Republic of the Congo, Djibouti, Egypt, Equatorial Guinea, Eritrea, eSwatini, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Ivory Coast, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Republic of Cameroon, Republic of the Congo, Reunion, Rwanda, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, St. Helena, Ascension, and Tristan da Cunha; Sudan, Tanzania, Togo, Tunisia, Uganda, Western Sahara, Zambia, and Zimbabwe.
The data is from ArcGIS StreetMap Premium Middle East and Africa 2024 Release 1 (based on TomTom 2024.09 vintage).

Note: Only the latest version of the map is available for download. See the 
Navigator map coverage 
and click on the map to access details (including file size, updated date, and data source).

Title: Topographical map of the Union of South Africa - Scale: 500000 - Assempblage de 2 cartes - Sheet number/Numéro de feuille/Bladnummer: West

Title: Vegetation map of South Africa - Scale: 3000000 - map to accompany Botanical Survey Memoir n°15 - 1935

This map contains a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from HERE (www.HERE.com). HERE collects billions of GPS and cell phone probe records per month and, where available, uses sensor and toll-tag data to augment the probe data collected. An advanced algorithm compiles the data and computes accurate speeds. The real-time and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The color coded map leverages historical, real time and predictive traffic data. Historical traffic is based on the average of observed speeds over the past three years. A color coded traffic map can be requested for the current time and any time in the future. A map for a future request might be used for planning purposes. The map also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

Latest update of the map of the National Vegetation Map Project and follows version VEGMAP 2012. All polygons are single-part. This file is also made available in shapefile format and as a cmf.

Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.

Title: Geological map of The Republic of South Africa and The Kingdoms of Lesotho and Swaziland - Scale: 1000000 - Assemblage de 4 feuilles - Sheet number/Numéro de feuille/Bladnummer: NW

This file contains the R code for the analyses in the paper entitled "Accessibility maps as a tool to predict sampling bias in historical biodiversity occurrence records", by S. Monsarrat, A. Boshoff and G. Kerley

This layer is a georeferenced image of an historic regional map of Southern Africa originally created by W. Pepper in 1858. The map illustratates the exploration routes of Dr. David Livingstone's journeys throughout Southern Africa. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, or other information associated with the principal map. This map was scanned and georeferenced by the Stanford University Geospatial Center. This map is part of a selection of digitally scanned and georeferenced historic maps of Africa held at Stanford University Libraries.

The National Wetland Map version 5 (NWM5) shows the distribution of inland wetland ecosystem types across South Africa and includes estuaries and the extent of some rivers. A confidence map was compiled to identify areas where wetland extent and hydrogeomorphic (HGM) units (which contributed to defining the inland wetland ecosystem types together with the regional setting) attained at a higher level of certainty compared to other areas. Higher levels of certainty are associated [code 5 in field Confidence_nr] with areas that have been visited in-field by a wetland specialist(s) over multiple seasons and cycles of the wetland hydroperiod, and are therefore more accurately represented in the dataset. Codes 4 to 1 indicate lower levels of confidence that the extent and HGM unit are represented well. If the Estuaries are used, please cite Van Niekerk et al., 2019. Technical Report of the Estuarine Ecosystems for the NBA 2018. For queries on the National Wetland Map 5 and associated Confidence Map datasets please contact the Principal Investigator [HvDeventer@csir.co.za] and cc the Freshwater@sanbi.org.za. For contributions and queries regarding future revisions of the National Wetland Map please contact Freshwater@sanbi.org.za. Updates will be incorporated into the National Wetland Map 6 which is under way.

This raster layer is a georeferenced image of an historic regional map of Southern Africa from the 19th century, originally created by Archibald Fullerton. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, or other information associated with the principal map. This map was scanned and georeferenced by the Stanford University Geospatial Center using a Transverse Mercator projection. This map is part of a selection of digitally scanned and georeferenced historic maps of Africa held at Stanford University Libraries.

Download high-quality, up-to-date South Africa shapefile boundaries (SHP, projection system SRID 4326). Our South Africa Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

South Africa Province Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online.The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Statistics South Africa. These were published in October 2023. A new layer will be published in 12-18 months. Other administrative boundaries for this country are also available: Country District Municipality MainPlace SubPlace SmallArea

This map features near real-time traffic information for different countries in Africa, designed for a night time display. This map contains a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from HERE (www.HERE.com). HERE collects billions of GPS and cell phone probe records per month and, where available, uses sensor and toll-tag data to augment the probe data collected. An advanced algorithm compiles the data and computes accurate speeds. The real-time and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The color coded map leverages historical, real time and predictive traffic data. Historical traffic is based on the average of observed speeds over the past three years. A color coded traffic map can be requested for the current time and any time in the future. A map for a future request might be used for planning purposes. The map also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.