City-level Gini annual dynamic

1. Global_1028_cities_Gini_trend.shpThis data represents the annual dynamic and trends of the Gini index 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 Gini index;(2) P: P-value at a statistically significant level of 0.05;(3) Y2000-Y2018: Annual Gini index 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 Km2.2. Global_1028_cities_Gini_thres20_trend.shpThis data represents the annual dynamic and trends of the Gini index (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 Gini index;(2) P_20: P-value at a statistically significant level of 0.05;(3) Y2000-Y2018: Annual Gini index 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 Km2.3. Global_1028_cities_Gini_thres30_trend.shpThis data represents the annual dynamic and trends of the Gini index (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 Gini index;(2) P_30: P-value at a statistically significant level of 0.05;(3) Y2000-Y2018: Annual Gini index 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 Km2.4. Global_1028_cities_Gini_thres40_trend.shpThis data represents the annual dynamic and trends of the Gini index (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 Gini index;(2) P_40: P-value at a statistically significant level of 0.05;(3) Y2000-Y2018: Annual Gini index 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 Km2.5. Global_1028_cities_Gini_thres50_trend.shpThis data represents the annual dynamic and trends of the Gini index (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 Gini index;(2) P_50: P-value at a statistically significant level of 0.05;(3) Y2000-Y2018: Annual Gini index 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.

该数据集以矢量格式存储，详尽地描绘了2000年至2018年间全球1028座城市的基尼指数年度动态与趋势。数据源基于WorldPop人口数据与Landsat获取的绿地空间映射。数据文件中包含以下关键属性：（1）趋势：基尼指数的时间序列趋势；（2）P值：在0.05的显著性水平下的P值；（3）Y2000-Y2018：从2000年至2018年的年度基尼指数；（4）南北划分：全球南半球或全球北半球的分类；（5）大陆：各大洲的分类；（6）经纬度：城市中心的经纬度坐标；（7）urbanArea：城市面积，单位为平方公里。