Data from: Predictive mapping of the global power system using open data

Three primary global data outputs from the research: <strong>grid.gpkg:</strong> Vectorized predicted distribution and transmission line network, with existing OpenStreetMap lines tagged in the 'source' column <strong>targets.tif:</strong> Binary raster showing locations predicted to be connected to distribution grid. <strong>lv.tif:</strong> 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/predictive-mapping-global-power https://github.com/carderne/access-estimator Full steps to reproduce are contained in this file: https://github.com/carderne/predictive-mapping-global-power/blob/master/README.md The data can be visualized at the following location: https://gridfinder.org本研究产出三项核心全球数据成果： 1. **grid.gpkg**：矢量化的预测配电网与输电线路网络，现有OpenStreetMap（开放街道地图）线路已在「source」字段中完成标记； 2. **targets.tif**：二值栅格数据，用于标注预测可接入配电网的区域位置； 3. **lv.tif**：栅格数据，表征每个栅格单元内的预测低压基础设施长度（单位：千米）。 本数据集依托以下三个代码仓库的代码开发完成： https://github.com/carderne/gridfinder https://github.com/carderne/predictive-mapping-global-power https://github.com/carderne/access-estimator 完整的数据复现步骤详见以下文件： https://github.com/carderne/predictive-mapping-global-power/blob/master/README.md 该数据可通过以下地址进行可视化展示： https://gridfinder.org