City-level greenspace coverage annual dynamic
收藏DataCite Commons2023-08-21 更新2025-04-16 收录
下载链接:
https://datahub.hku.hk/articles/dataset/City-level_greenspace_coverage_annual_dynamic/23989632
下载链接
链接失效反馈官方服务:
资源简介:
1. Global_1028_cities_greenspace_coverage_trend.shpThis data represents the annual dynamic and trends of greenspace coverage for global 1028 cities in 2000-2018 using the WorldPop population and Landsat-derived greenspace mappings. Key attributes in the shapefile data:(1) Trend: temporal trend of greenspace coverage;(2) P: P-value at a statistically significant level of 0.05;(3) Y2000-Y2018: Annual greenspace coverage level for year 2000 to 2018;(4) SouthNorth: Categories of Global South or Global North;(5) Continent: Categories of continents;(6) lat/long: Latitude/longitude of the city centriod;(7) urbanArea: urban areas in Km2.<br>2. Global_1028_cities_greenspace_coverage_thres20_trend.shpThis data represents the annual dynamic and trends of greenspace coverage (threshold = 0.20) for global 1028 cities in 2000-2018 using the WorldPop population and Landsat-derived greenspace mappings, together with threshold-based linear unmixing classification approach Key attributes in the shapefile data:(1) Trend_20: temporal trend of greenspace coverage;(2) P_20: P-value at a statistically significant level of 0.05;(3) Y2000-Y2018: Annual greenspace coverage level for year 2000 to 2018;(4) SouthNorth: Categories of Global South or Global North;(5) Continent: Categories of continents;(6) lat/long: Latitude/longitude of the city centriod;(7) urbanArea: urban areas in Km2.<br>3. Global_1028_cities_greenspace_coverage_thres30_trend.shpThis data represents the annual dynamic and trends of greenspace coverage (threshold = 0.30) for global 1028 cities in 2000-2018 using the WorldPop population and Landsat-derived greenspace mappings, together with threshold-based linear unmixing classification approach Key attributes in the shapefile data:(1) Trend_30: temporal trend of greenspace coverage;(2) P_30: P-value at a statistically significant level of 0.05;(3) Y2000-Y2018: Annual greenspace coverage level for year 2000 to 2018;(4) SouthNorth: Categories of Global South or Global North;(5) Continent: Categories of continents;(6) lat/long: Latitude/longitude of the city centriod;(7) urbanArea: urban areas in Km2.<br>4. Global_1028_cities_greenspace_coverage_thres40_trend.shpThis data represents the annual dynamic and trends of greenspace coverage (threshold = 0.40) for global 1028 cities in 2000-2018 using the WorldPop population and Landsat-derived greenspace mappings, together with threshold-based linear unmixing classification approach Key attributes in the shapefile data:(1) Trend_40: temporal trend of greenspace coverage;(2) P_40: P-value at a statistically significant level of 0.05;(3) Y2000-Y2018: Annual greenspace coverage level for year 2000 to 2018;(4) SouthNorth: Categories of Global South or Global North;(5) Continent: Categories of continents;(6) lat/long: Latitude/longitude of the city centriod;(7) urbanArea: urban areas in Km2.<br>5. Global_1028_cities_greenspace_coverage_thres50_trend.shpThis data represents the annual dynamic and trends of greenspace coverage (threshold = 0.50) for global 1028 cities in 2000-2018 using the WorldPop population and Landsat-derived greenspace mappings, together with threshold-based linear unmixing classification approach Key attributes in the shapefile data:(1) Trend_50: temporal trend of greenspace coverage;(2) P_50: P-value at a statistically significant level of 0.05;(3) Y2000-Y2018: Annual greenspace coverage level for year 2000 to 2018;(4) SouthNorth: Categories of Global South or Global North;(5) Continent: Categories of continents;(6) lat/long: Latitude/longitude of the city centriod;(7) urbanArea: urban areas in Km2.
提供机构:
HKU Data Repository
创建时间:
2023-08-21



