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- [ ] Traffic volumes
- [x] Traffic speeds
- [ ] Crossing frequency (linked to critical of crossing per 500 m)
- [x] PCT layer, see https://www.carbon.place/#11.8/51.50321/-0.09312
- [ ] Historic …
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## Detailed Description
At the moment, for each ML example, we ask our ML models to directly predict total solar PV power generation for an entire _region_ of the country (specifically: a region th…
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I think something like this would be really useful:
```
coverage=c("E09000001") # City of London (LAD)
boundary_type="LSOA11"
resolution="Generalised_Clipped"
spdf = getboundaries(coverage, bound…
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At present, `DVector._generic_dunder` calls `DVector.overlap`:
https://github.com/Transport-for-the-North/caf.core/blob/a644f6f719232e9ac2d0eefb289f591153b3385b/src/caf/core/data_structures.py#L533…
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Heya,
We noticed that London Districts (wof:neighbourhood) don't have population estimates.
eg. [Putney](https://spelunker.whosonfirst.org/id/85789965/), [Clapham](https://spelunker.whosonfirst.or…
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We need to clarify whether we should
a) include adminstrative geography elements (ward, LSOA, etc) when presented in the data
b) lookup and include others
In most cases (in Trafford) we have a poi…
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Scrapers files and the main data pipeline currently use different versions of the LA and LSOA boundaries files (in static/geoboundaries). Need to implement 'single point of failure' for loading and us…