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Settlement footprint layer with edits to the Limpopo area where the footprints were expanded where relevant basedon the growth as indicated using the GTI data for 2022 for limpopo.
The remainder of SA is still to be done in the same way.
The process was a manual process using DWA settlements, Imagery and BBLU points to guide.
GVA and Employment data has been calculated and added uing 2021 data. Note that SIC5 is not included due to construction data limits to reflect this sector spatially. |
| summary:
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Settlement footprint layer with edits to the Limpopo area where the footprints were expanded where relevant basedon the growth as indicated using the GTI data for 2022 for limpopo.
The remainder of SA is still to be done in the same way.
The process was a manual process using DWA settlements, Imagery and BBLU points to guide.
GVA and Employment data has been calculated and added uing 2021 data. Note that SIC5 is not included due to construction data limits to reflect this sector spatially. |
| accessInformation:
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GTI, 2022.BBLU points data set for Limpopo
DWA, 2018. Settlements
CSIR, 2023 GVA and Employment caclulations (C Luddick) |
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| maxScale:
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5000 |
| typeKeywords:
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[] |
| description:
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Settlement footprint layer with edits to the Limpopo area where the footprints were expanded where relevant basedon the growth as indicated using the GTI data for 2022 for limpopo.</SPAN></P><P><SPAN>The remainder of SA is still to be done in the same way.</SPAN></P><P><SPAN>The process was a manual process using DWA settlements, Imagery and BBLU points to guide.</SPAN></P></DIV></DIV></DIV> |
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| catalogPath:
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| title:
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Settlement_Footprint |
| type:
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| url:
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| tags:
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["Settlement footprint","Limpopo edits","Febr 2023 version","GVA and Employment","2021 added"] |
| culture:
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en-ZA |
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| minScale:
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150000000 |
| spatialReference:
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