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Four primary global data outputs from the research: hv.gpkg: Dump of OpenStreetMap grid data, slightly cleaned and tagged. (C) OpenStreetMap contributors. targets.tif: Binary aster showing locations predicted to be connected to distribution grid. mv.gpkg: Vectorized predicted distribution line network. lv.tif: Raster of predicted low-voltage infrastructure in kilometres per cell. This data was created with code in the following three repositories: https://github.com/carderne/gridfinder https://github.com/carderne/energy-infra https://github.com/carderne/accessestimator Full steps to reproduce are contained in this file: https://github.com/carderne/energy-infra/blob/master/README.md The data can be visualized at the following location: https://gridfinder.org
power, electricity, infrastructure
power, electricity, infrastructure
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 777 | |
| downloads | 1K |

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