Datasets used in: Modelling eye-level visibility of urban green space: Optimising city-wide point-based viewshed computations through prototyping

Research data supporting our publication. Full workflows using the R programming language have been provided on GitHub. Here we provide external data that has been used for our research, as well as the resulting Viewshed Greenness Visibility Index (VGVI) raster. <strong>Datasets</strong> Digital Terrain Model (DTM): Spatial Resolution: 1 m Source: Canada’s Open Government Portal Licence: Open Government Licence - Canada File name: Vancouver_DTM_1m.tif<br> Digital Surface Model (DSM): Spatial Resolution: 1 m Source: Canada’s Open Government Portal Licence: Open Government Licence - Canada File name: Vancouver_DSM_1m.tif<br> Landuse Spatial Resolution: 2 m Source: Land Cover Classification 2014 - 2m LiDAR Licence: Metro Vancouver File name: Vancouver_LULC_2m.tif<br> VGVI map Spatial Resolution: 5 m Source: Resulting dataset from our analysis Licence: MIT License File name: vgvi_van.tif本研究数据支撑已发表论文。完整的R语言工作流已上传至GitHub平台。本次公开内容包含本研究使用的外部数据集，以及本研究生成的视域绿地可视性指数（Viewshed Greenness Visibility Index, VGVI）栅格数据。 **数据集** 数字地形模型（Digital Terrain Model, DTM）：空间分辨率：1米；数据来源：加拿大开放政府门户；授权协议：加拿大开放政府授权；文件名：Vancouver_DTM_1m.tif 数字地表模型（Digital Surface Model, DSM）：空间分辨率：1米；数据来源：加拿大开放政府门户；授权协议：加拿大开放政府授权；文件名：Vancouver_DSM_1m.tif 土地利用数据：空间分辨率：2米；数据来源：2014年土地覆盖分类——2米激光雷达（LiDAR）数据集；授权协议：大温哥华地区（Metro Vancouver）；文件名：Vancouver_LULC_2m.tif 视域绿地可视性指数（VGVI）地图：空间分辨率：5米；数据来源：本研究分析生成的数据集；授权协议：MIT授权协议；文件名：vgvi_van.tif