1,569 Works

Number of dwellings in South Africa

Kerryn Warren & Leo Chiloane
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.

Field Guide to the Offshore Marine Invertebrates of South Africa

Lara Atkinson & Kerry Sink
Long-term environmental monitoring is important to enable an improved understanding of how changing conditions affect marine environments. Without rigorous data from the past, we are unable to detect, quantify or adapt to changes in the environment now or into the future. Offshore benthic ecosystems of South Africa's Exclusive Economic Zone have, in the past, been poorly studied and local taxonomic knowledge of offshore invertebrates has been considered sparse. Marine invertebrates are one of the most...

Percentage of the Population Living in Poverty

Leo Chiloane
The data depicts the percentage of the population living in poverty, based on individual monthly income data from the 2011 national census. 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...

Soils Susceptible to Wind Erosion

Council For GeoScience

Soils Susceptible to Acidification

Council For GeoScience

Swelling Clays

Council For GeoScience

Soils Susceptible to Wind Erosion

Council For GeoScience

Soils Susceptible to Water Erosion

Council For GeoScience

Seismic Intensity Lines

Council For GeoScience
Data processed by Council for GeoScience to show seismic intensity lines for South Africa.

Seismic Intensities

Council For GeoScience
Data processed by Council for GeoScience to show areas of intensity of seismic activity in South Africa.

Landslide susceptibility of SA

Council For GeoScience

Alien Plants

SANBI-Biodiversity GIS
Data processed by SANBI used to show areas invaded by alien plants.

Root Mean Square Difference in percentage (%) between the nine ensemble member change anomalies of the seasonal percentage rainfall for the median for 2036 - 2065 relative to 1976-2005, for the JJA season, under the RCP 4.5 pathway

SMHI
Root Mean Square Difference in percentage (%) between the nine ensemble member change anomalies of the seasonal percentage rainfall for the median for 2036 - 2065 relative to 1976-2005, for the JJA season, under the RCP 4.5 pathway for the southern African region. To generate the image, nine coarse General Circulation Models (GCM) are downscaled to a finer spatial resolution (0.44°x 0.44°) using the Rossby Centre regional model (RCA4) forcing its lateral boundaries. The model...

Root Mean Square Difference between the nine ensemble member change anomalies of the seasonal total rainfall for the 90% percentile for 2036 - 2065 relative to 1976-2005, for the DJF season, under the RCP 8.5 pathway

SMHI
Root Mean Square Difference for seasonal (DJF) rainfall (mm per month) change from the 90% percentile projected for 2036-2065, relative to present (1976 - 2005), under the RCP 8.5 pathway for the southern African region. To generate the image, nine coarse General Circulation Models (GCM) are downscaled to a finer spatial resolution (0.44°x 0.44°) using the Rossby Centre regional model (RCA4) forcing its lateral boundaries. The model simulated daily rainfall averages, which are used to...

Root Mean Square Difference between the nine ensemble member change anomalies of the annual mean near-surface (2m) temperature for the median for 2066-2095 relative to 1976-2005, under the RCP 8.5 pathway

SMHI
Root Mean Square Difference for annual mean near-surface (2m) temperature (°C) change from the median projected for 2066-2095, relative to present (1976 - 2005), under the RCP 8.5 pathway for the southern African region. To generate the image, nine coarse General Circulation Models (GCM) are downscaled to a finer spatial resolution (0.44°x 0.44°) using the Rossby Centre regional model (RCA4) forcing its lateral boundaries. The model simulated daily temperature averages, which are used to generate...

Root Mean Square Difference between the nine ensemble member change anomalies of the seasonal mean near-surface (2m) temperature for the 10% percentile for 2066 - 2095 relative to 1976-2005, for the JJA season, under the RCP 4.5 pathway

SMHI
Root Mean Square Difference for seasonal (JJA) mean near-surface (2m) temperature (°C) change from the 10% percentile projected for 2066-2095, relative to present (1976 - 2005), under the RCP 4.5 pathway for the southern African region. To generate the image, nine coarse General Circulation Models (GCM) are downscaled to a finer spatial resolution (0.44°x 0.44°) using the Rossby Centre regional model (RCA4) forcing its lateral boundaries. The model simulated daily temperature averages, which are used...

Root Mean Square Difference between the nine ensemble member change anomalies of the annual mean near-surface (2m) temperature for the 90% percentile for 2036 - 2065 relative to 1976-2005, under the RCP 4.5 pathway

SMHI
Root Mean Square Difference for annual mean near-surface (2m) temperature (°C) change from the 90% percentile projected for 2036-2065, relative to present (1976 - 2005), under the RCP 4.5 pathway for the southern African region. To generate the image, nine coarse General Circulation Models (GCM) are downscaled to a finer spatial resolution (0.44°x 0.44°) using the Rossby Centre regional model (RCA4) forcing its lateral boundaries. The model simulated daily temperature averages, which are used to...

Direct Normal Irradiation [Long Term Average of Yearly Sum]

Marcel Suri, Tomas Cebecauer, Adriaan J. Meyer & J. L. Van Niekerk
Long term average of yearly sum of direct normal irradiation (DNI) in kWh/m2, covering the period 1994-2013. *Solar radiation data calculated by SolarGIS satellite-based model developed by GeoModel Solar, regionally adapted to ground measurements.

BioEnergy Atlas Synthesis Report - Full Report and Annexures

W.J. Hugo
The BioEnergy Atlas project was commisioned by Department of Science and Technology and managed by SAEON. It has produced a range of outputs, in both electronic and printed format. The data sets, attendant metadata and fact sheets (non-spatial data inputs) are all available online and can be accessed via an interactive web-based atlas, a search facility and an interactive decision-support tool. Reports dealing with the main themes of the Atlas, as well as case studies...

BioEnergy Atlas Synopsis Report

W.J. Hugo
The BioEnergy Atlas project was commisioned by Department of Science and Technology and managed by SAEON. It has produced a range of outputs, in both electronic and printed format. The data sets, attendant metadata and fact sheets (non-spatial data inputs) are all available online and can be accessed via an interactive web-based atlas, a search facility and an interactive decision-support tool. Reports dealing with the main themes of the Atlas, as well as case studies...

Winter Rainfall Crops

A. Fourie
The dataset includes all field boundaries in the Western Cape province, with the associated winter crops. The digitising of the fields where done from Spot 5 satellite imagery of 2011 and 2012, as well as aerial photography of 2010. The low-level aerial survey of 2013 was conducted to observe crops per field per farm in order to populate the attributers for fields digitised as above. Some ground survey was carried out where aerial observation could...

Rainfall days per month for Current Climate (1950-1999)

Christopher Jack
Model Run: Control - Current Climate (Observed/current climate as modelled by climate model). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a...

Number of days for Maximum Temperature under 10th percentile for Current Climate (1950-1999)

Christopher Jack
Model Run: Control - Current Climate (Observed/current climate as modelled by climate model). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a...

Minimum of Maximum Temperature for Far Future (2080 - 2100)

Christopher Jack
Model Run: Far future (2080 - 2100) (Far future (2080 - 2100)). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a General...

Mean of Maximum Temperature for Near Future (2046-2065)

Christopher Jack
Model Run: Near future (2046 - 2065) (Near future (2046 - 2065)). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a General...

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