Google Earth Engine ——数据全解析专辑（世界第 4 版网格化人口 (GPWv4) 修订版）数据集

The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population for the years 2000, 2005, 2010, 2015, and 2020 on 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using proportional allocation of population from census and administrative units. Population input data are collected at the most detailed spatial resolution available from the results of the 2010 round of censuses, which occurred between 2005 and 2014. The input data are extrapolated to produce population estimates for each modeled year.

These population count grids contain population estimates, by age and sex, per 30 arc-second grid cell consistent with national censuses and population registers. There is one image for each modeled age and sex category based on the 2010 round of Census.

世界第 4 版网格化人口 (GPWv4) 修订版 11 对 2000、2005、2010、2015 和 2020 年在 30 弧秒（约 1 公里）网格单元上的全球人口分布进行建模。使用人口普查和行政单位的人口比例分配将人口分配到单元格。人口输入数据是在 2010 年普查结果中可用的最详细的空间分辨率收集的，普查结果发生在 2005 年和 2014 年之间。输入数据被外推以产生每个建模年份的人口估计值。

这些人口计数网格包含与国家人口普查和人口登记一致的每 30 弧秒网格单元按年龄和性别划分的人口估计值。根据 2010 年人口普查，每个建模的年龄和性别类别都有一个图像。

Dataset Availability

2000-01-01T00:00:00 - 2020-01-01T00:00:00

Dataset Provider

NASA SEDAC at the Center for International Earth Science Information Network

Collection Snippet

ee.ImageCollection("CIESIN/GPWv411/GPW_Basic_Demographic_Characteristics")

Resolution

30 arc seconds

Bands Table

影像属性：

 引用：

Center for International Earth Science Information Network - CIESIN - Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Basic Characteristics, Revision 11. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). doi:10.7927/H46M34XX. Accessed DAY MONTH YEAR.

代码：

  

   

    

     

    
    

     

      var dataset = ee.ImageCollection("CIESIN/GPWv411/GPW_Basic_Demographic_Characteristics").first();
     
    
   

    

     

    
    

     

      var raster = dataset.select('basic_demographic_characteristics');
     
    
   

    

     

    
    

     

      var raster_vis = {
     
    
   

    

     

    
    

     
  "max": 1000.0,
     
    
   

    

     

    
    

     
  "palette": [
     
    
   

    

     

    
    

     
    "ffffe7",
     
    
   

    

     

    
    

     
    "86a192",
     
    
   

    

     

    
    

     
    "509791",
     
    
   

    

     

    
    

     
    "307296",
     
    
   

    

     

    
    

     
    "2c4484",
     
    
   

    

     

    
    

     
    "000066"
     
    
   

    

     

    
    

     

        ],
     
    
   

    

     

    
    

     
  "min": 0.0
     
    
   

    

     

    
    

     

      };
     
    
   

    

     

    
    

     

      Map.setCenter(79.1, 19.81, 3);
     
    
   

    

     

    
    

     

      Map.addLayer(raster, raster_vis, 'basic_demographic_characteristics');
     
    
   

    

     

    
    

     
 
     
    
  
 

文章来源: blog.csdn.net，作者：此星光明2021年博客之星云计算Top3，版权归原作者所有，如需转载，请联系作者。

原文链接：blog.csdn.net/qq_31988139/article/details/120117593