当前位置: X-MOL 学术J. Maps › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Geospatial Analysis of Neighborhood Deprivation Index (NDI) for the United States by County.
Journal of Maps ( IF 1.9 ) Pub Date : 2020-04-15 , DOI: 10.1080/17445647.2020.1750066
Marcus R Andrews 1 , Kosuke Tamura 1 , Sophie E Claudel 1 , Samantha Xu 1 , Joniqua N Ceasar 1 , Billy S Collins 1 , Steven Langerman 1 , Valerie M Mitchell 1 , Yvonne Baumer 1 , Tiffany M Powell-Wiley 1
Affiliation  

Little is known about the spatial clustering of neighborhood deprivation across the United States (U.S.). Using data from the 2010 U.S. Census Bureau, we created a neighborhood deprivation index (NDI: higher NDI indicates higher deprivation/ lower neighborhood socioeconomic status) for each county within the U.S. County level scores were loaded into ArcGIS 10.5.1 where they were mapped and analyzed using Moran's I and Anselin Local Moran's I. Ultimately, NDI varies spatially across the US. The highest NDI scores were found in the Southeastern and Southwestern U.S. states, and inland regions of Southern California. This information is critical for public health initiative development as planners may need to tailor the scale of their efforts based on the higher NDI neighborhoods of the county or geographic region with potentially greater chronic disease burden.

中文翻译:

美国各县的邻里剥夺指数(NDI)的地理空间分析。

关于整个美国(US)的邻里剥夺的空间聚类知之甚少。使用2010年美国人口普查局的数据,我们为美国各县内的每个县创建了一个邻里剥夺指数(NDI:更高的NDI表示更高的剥夺/更低的邻里社会经济地位)。使用Moran's I和Anselin Local Moran's I进行分析。最终,NDI在美国各地会发生空间变化。在美国东南部和西南部各州以及南加州的内陆地区发现NDI得分最高。
更新日期:2020-04-15
down
wechat
bug