City-level greenspace exposure annual dynamic

<p>1. Global_1028_cities_greenspace_exposure_trend.shp</p><p>This data represents the annual dynamic and trends of greenspace exposure for global 1028 cities in 2000-2018 using the WorldPop population and Landsat-derived greenspace mappings. </p><p>Key attributes in the shapefile data:</p><p>(1) Trend: temporal trend of greenspace exposure;</p><p>(2) P: P-value at a statistically significant level of 0.05;</p><p>(3) Y2000-Y2018: Annual greenspace exposure level for year 2000 to 2018;</p><p>(4) SouthNorth: Categories of Global South or Global North;</p><p>(5) Continent: Categories of continents;</p><p>(6) lat/long: Latitude/longitude of the city centriod;</p><p>(7) urbanArea: urban areas in Km2.</p><p><br></p><p>2. Global_1028_cities_greenspace_exposure_thres20_trend.shp</p><p>This data represents the annual dynamic and trends of greenspace exposure (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 </p><p>Key attributes in the shapefile data:</p><p>(1) Trend_20: temporal trend of greenspace exposure;</p><p>(2) P_20: P-value at a statistically significant level of 0.05;</p><p>(3) Y2000-Y2018: Annual greenspace exposure level for year 2000 to 2018;</p><p>(4) SouthNorth: Categories of Global South or Global North;</p><p>(5) Continent: Categories of continents;</p><p>(6) lat/long: Latitude/longitude of the city centriod;</p><p>(7) urbanArea: urban areas in Km2.</p><p><br></p><p>3. Global_1028_cities_greenspace_exposure_thres30_trend.shp</p><p>This data represents the annual dynamic and trends of greenspace exposure (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 </p><p>Key attributes in the shapefile data:</p><p>(1) Trend_30: temporal trend of greenspace exposure;</p><p>(2) P_30: P-value at a statistically significant level of 0.05;</p><p>(3) Y2000-Y2018: Annual greenspace exposure level for year 2000 to 2018;</p><p>(4) SouthNorth: Categories of Global South or Global North;</p><p>(5) Continent: Categories of continents;</p><p>(6) lat/long: Latitude/longitude of the city centriod;</p><p>(7) urbanArea: urban areas in Km2.</p><p><br></p><p>4. Global_1028_cities_greenspace_exposure_thres40_trend.shp</p><p>This data represents the annual dynamic and trends of greenspace exposure (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 </p><p>Key attributes in the shapefile data:</p><p>(1) Trend_40: temporal trend of greenspace exposure;</p><p>(2) P_40: P-value at a statistically significant level of 0.05;</p><p>(3) Y2000-Y2018: Annual greenspace exposure level for year 2000 to 2018;</p><p>(4) SouthNorth: Categories of Global South or Global North;</p><p>(5) Continent: Categories of continents;</p><p>(6) lat/long: Latitude/longitude of the city centriod;</p><p>(7) urbanArea: urban areas in Km2.</p><p><br></p><p>5. Global_1028_cities_greenspace_exposure_thres50_trend.shp</p><p>This data represents the annual dynamic and trends of greenspace exposure (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 </p><p>Key attributes in the shapefile data:</p><p>(1) Trend_50: temporal trend of greenspace exposure;</p><p>(2) P_50: P-value at a statistically significant level of 0.05;</p><p>(3) Y2000-Y2018: Annual greenspace exposure level for year 2000 to 2018;</p><p>(4) SouthNorth: Categories of Global South or Global North;</p><p>(5) Continent: Categories of continents;</p><p>(6) lat/long: Latitude/longitude of the city centriod;</p><p>(7) urbanArea: urban areas in Km2.</p>