2021_Veterinary_Hospital_FacilityDistributions

Veterinary and Hospital distributions. Abstract: These maps of veterinary facilities and hospital health care locations are derived from the open-source Open Street Maps (OSM). These are large datasets that underlie most of the satnav utilities, and are continuously updated by members of the public. They are compiled by GEOFABRIK, and can be downloaded from https://www.geofabric.de. Healthcare data have been further enhanced by the Global Health Sites Mapping Project (https://healthsites.io). The data consist of locations (“points of interest”) and building outlines, and are made up of points and polygons that are stored separately in the OSM files. Each record has a series of descriptors (“tags”) such as ‘amenity’ which may include descriptions of a hospital or veterinary clinic. These tags are provided by the people who add the data to the maps and are multilingual and very variable. Most records contain additional more generic tags that can be used to identify classes of locations like hospitals or pharmacies. ERGO has taken the IO and OSM datasets, combined the polygon and point data, converted the polygons to points, and removed any duplicates (where building outlines also have point location records), to produce and global datasets for healthcare and regional datasets for healthcare and veterinary locations covering Europe and its neighboring countries. File naming scheme: Full descriptions in Maps of Healthcare and Veterinary Locations.pptx. ESRI point shapefiles are as follows: Healthcare Global: Ionodewaynodupallmay21.shp Healthcare Regional: MONODWAYALLnodupMAY21.shp Veterinary Regional: afeupolypointsnondupmergemay21.shp The regional maps are produced by tabulating the number of each healthcare amenity or veterinary locations within administrative zones, normalising by the administrative unit areas. The maps are produced from the following shape files: Healthcare Regional: MOiohealthamenitycountadmin2may21.shp Veterinary Regional: MONODWATALLVETSNODUPMAY21.shp An arcGS 10.4 MPK project file (ERGOhealthvetforweb.mpk) has been provided to display the spatial data provided Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326) Spatial extent:Extent -73.2621536249999394,18.9632860000000392 : 69.0703202920000336,83.6274185180000842 Spatial resolution:Shp files Temporal Resolution: Year 2021 Values: Per Units (Number of facilities ): the number of each healthcare amenity or veterinary locations within administrative zones, Source: Open Street Maps (OSM): GEOFABRIK https://www.geofabric.de Health care data https://healthsites.io Software used:ArcMap 10.4 License: CC-BY-SA 4.0 Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project## 兽医与医疗机构分布数据集 ### 摘要 本数据集包含的兽医诊所与医疗机构点位地图，源自开源开放街道地图（Open Street Maps，OSM）。该数据集为绝大多数卫星导航应用的底层数据支撑，由全球公众用户持续更新维护，并由GEOFABRIK汇编整合，可通过https://www.geofabric.de下载获取。医疗相关数据还通过全球医疗场所测绘项目（Global Health Sites Mapping Project，https://healthsites.io）进行了增强完善。 数据集包含场所点位（兴趣点，points of interest，POI）与建筑轮廓两类空间要素，以点和面的形式分别存储于OSM文件中。每条记录均包含一系列描述性标签（tags），例如`amenity`标签，可用于标注医院、兽医诊所等场所类型。此类标签由向地图录入数据的用户提交，支持多语言且格式灵活多样。多数记录还附带通用标签，可用于识别医院、药房等场所类别。 牛津环境研究小组（Environmental Research Group Oxford，ERGO）整合了IO与OSM数据集，合并面状与点状数据，将面状要素转换为点状要素，并移除重复记录（即同时拥有建筑轮廓和点位记录的对象），最终生成了全球医疗卫生数据集，以及覆盖欧洲及其周边国家的区域医疗卫生与兽医场所数据集。 ### 文件命名规则 详细说明请参见《Maps of Healthcare and Veterinary Locations.pptx》。 ESRI点状形状文件如下： - 全球医疗卫生数据集：Ionodewaynodupallmay21.shp - 区域医疗卫生数据集：MONODWAYALLnodupMAY21.shp - 区域兽医场所数据集：afeupolypointsnondupmergemay21.shp 区域地图通过统计各行政辖区内的各类医疗卫生设施或兽医场所数量，并按行政辖区面积进行归一化处理后生成，所用形状文件如下： - 区域医疗卫生地图：MOiohealthamenitycountadmin2may21.shp - 区域兽医场所地图：MONODWATALLVETSNODUPMAY21.shp 同时提供了ArcGIS 10.4 地图包（Map Package，MPK）工程文件（ERGOhealthvetforweb.mpk），用于可视化展示本数据集的空间数据。 ### 投影坐标系与EPSG代码 纬度-经度/WGS84（EPSG：4326） ### 空间范围 Extent: -73.2621536249999394,18.9632860000000392 : 69.0703202920000336,83.6274185180000842 ### 空间分辨率 形状文件（Shp files） ### 时间分辨率 2021年 ### 数值指标 按单位（设施数量）：各行政辖区内的各类医疗卫生设施或兽医场所数量。 ### 数据来源 1. 开放街道地图（OSM） 2. GEOFABRIK：https://www.geofabric.de 3. 医疗相关数据：https://healthsites.io ### 所用软件 ArcMap 10.4 ### 许可协议 CC-BY-SA 4.0 ### 数据处理方 牛津环境研究小组（Environmental Research Group Oxford，ERGO）为H2020 MOOD项目制作，相关网址：https://ergoonline.co.uk/