Gouritz Initiative Processes Coastal Corridor
Sensitive coastal corridor in the Gouritz Initiative, in which there is a high threat of development in highly threatened vegetation types.
   
koppies

   
Gouritz Initiative Processes, North-South Gouritz corridor
The, North-south corridor of the Gouritz River provides a link from the Karoo to the sea, thereby presenting a, North-south macroclimatic gradient as well as an upland-lowland gradient.
   
Gouritz Initiative Processes Quartz Patches
Collated and analyzed environmental and biological data, which are used to delineate management sectors for the Gouritz planning domain, and to identify projects for these management sectors. This layer is also needed for the analysis of `conservation priorities`.
   
Grey rhebuck

   
Hartebees

   
Karoo boundary region

   
Karoo vegetation

   
Kudu

   
MBCP Planning Area

   
Mountain Zebra

   
Protected areas of South Africa, Lesotho and Swaziland
The layer of South African protected areas was compiled using data from different sources. Those were provincial conservation agencies, South African National Parks (SANPARKS), Department of Environmental Affairs and Tourism, and other organisations. Recent data on protected areas for each province was derived separately from these different sources. The data from the nine provinces of South Africa was then combined together to form a layer of protected areas. Names of protected areas used in each province were standardised. Protected areas were further classified into 3 types. Type 1 protected areas includes National Parks, Nature Reserves, Provincial Nature Reserves, Local Authority Nature Reserves and DWAF Forest Nature Reserves. Type 2 protected areas includes the Catchment Areas, Wildlife Management Area, Private Nature Reserves, National Heritage Sites, SANDF property, Bird Sanctuary, Botanical Garden, State Land, Mountain Catchment Area, DWAF Forest Area. Type 3 protected areas include Game Farms, Other Conservation Areas, and Game Reserves.
   
Ostrich farming: threat to ecosystem

   
Putting Biodiversity Plans to Work Domain

   
NSBA Priority Areas

   
Renosterveld Priority Clusters
Layer designating renosterveld priority clusters and the area around them up to 500m (a 500m buffer). Renosterveld priority clusters are patches of remaining lowland renosterveld habitat that were identified by Cape Lowlands Renosterveld Project analysis to be critical for conserving biodiversity pattern and process in the Cape Lowlands.
   
Rivers

   
South Africa Wetlands Phase1

   
Sensitive Lower Vertebrate

   
SKEP Expert Map - Birds
Data was mapped by amphibian experts on 1:250 000 topocadastral maps and digitized by Benis Egoh (IPC). This layer shows sensitive birds areas within the SKEP region. This data was used to set conservation priorities in the SKEP region. Bird data was drawn on several 1:250 000 topocadastral maps. Each of these maps were digitized and saved as a separate shape file. All of the birds shape files were then merged into a single file. A standard data form was used to capture the attribute data. This was entered into MS Access and edited in an MS Excel spreadsheet. The attributes were then linked to the shape files.Polygon topology was checked using ARCINFO software. Additions by Western Cape Nature Conservation Board: 24 January 2003, Glynnis Barodien (Conservation Planning Unit) recalculated areas and perimeters using Xtools in Lambert projection.
   
Fire Frequency (2000 - 2016)
The Fire Frequency 2000 - 2016 dataset was derived from the NASA Fire Information for Resource Management System (FIRMS) The MODIS NRT active fire products (MCD14DL) are processed using the standard MOD14/MYD14 Fire and Thermal Anomalies product. Each MODIS active fire location represents the center of a 1km pixel that is flagged by the algorithm as containing one or more fires within the pixel. The dataset is from MODIS Collection 6. The fire and thermal anomalies for the 2000 - 2016 monitoring period were grouped according to the number of fire anomalies present within each 500m grid cell. This was then used to provide an idication of the number of fire events that occured in each cell during the 2000 - 2016 monitoring period.
   
Population Age Distribution
The data was derived from the 2011 national census. Population age was obtained from the census small area layer data and grouped into the following categories: (i) 0-5 Juvenile, (ii) 6-18 School-going, (iii) 19-30, 31-50, 51-65 Working population, (iv) 66-80 Elderly and (v) 81-102 Frail. A 500m grid was used to map the dwelling frame distribution for South Africa. The resulting dataset was then intersected with the small area layer for the purpose of esmating the area percentages of dwellings within each grid cell. The area percentages for the grid cells were multiplied with the corresponding census count for each small area in order to map population exposure by age group.
   
Percentage of the Workforce Employed in the Informal Sector
The data was derived from the 2011 national census. The number of individuals employed in the informal sector were obtained from the census small area layer data. A 500m grid was used to map the dwelling frame distribution for South Africa. The resulting dataset was then intersected with the small area layer for the purpose of esmating the area percentages of dwellings within each grid cell. The area percentages for the grid cells were multiplied with the corresponding census count for each small area in order to map the workforce employed in the informal sector.
   
Percentage of Households with no Rubbish Disposal
The data was derived from the 2011 national census. The number of households with no rubbish disposal were obtained from the census small area layer data. A 500m grid was used to map the dwelling frame distribution for South Africa. The resulting dataset was then intersected with the small area layer for the purpose of esmating the area percentages of dwellings within each grid cell. The area percentages for the grid cells were multiplied with the corresponding census count for each small area in order to map households with no rubbish disposal.
   
Household Toilet Facilities
The data was derived from the 2011 national census. The number of households using pit or flush were obtained from the census small area layer data. A 500m grid was used to map the dwelling frame distribution for South Africa. The resulting dataset was then intersected with the small area layer for the purpose of esmating the area percentages of dwellings within each grid cell. The area percentages for the grid cells were multiplied with the corresponding census count for each small area in order to map households using pit or flush toilets.
   
Density of Road Infrastructure
The dataset presents the density of road infrastructure by 500m grid cell for South Africa. Data is calculated as length of infrastructure in m, categorised by road type. Input data and road categorisation are both based on OpenStreetMap data, downloaded from the official site. These polylines were intersected with the 500m grid for South Africa, and the length of road per grid cell calculated after conversion to an equal area projection.
   
Number of dwellings in South Africa
The dataset depicts the number of dwellings in South Africa. The count for the number of dwellings per 500m grid cell is presented in a log-10 scale. The dataset was created by intersecting the dwelling frame dataset produced by StatsSA with a 500m grid for South Africa.
   
Seismic Intensities
Data processed by Council for GeoScience to show areas of intensity of seismic activity in South Africa.
   
Seismic Intensity Lines
Data processed by Council for GeoScience to show seismic intensity lines for South Africa.
   
Soils Susceptible to Water Erosion