areal: An R package for areal weighted interpolation
areal: An R package for areal weighted interpolation
复制标题
areal：用于面积加权插值的 R 包
DOI：
10.21105/joss.01221
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Charlie Revord
中科院分区：
文献类型：
--
作者：
C. Prener;Charlie Revord
人口数据往往有不同的汇总层次，如美国的人口普查区或区块组或联合王国的产出区。这些单位通常是为了方便而绘制的，而不是因为它们代表了居民生活经验中的一些普遍接受的区域。尽管如此，研究人员经常使用它们作为社区的代理，因为它们具有现成的人口统计数据。希望超越这些代理并为其他地理区域生成人口估计的研究人员通常会开发自己的，通常是手动的，面积加权插值工作流程的实现（Qiu，Zhang，& Zhou，2012）。因此，缺乏可靠且易于使用的软件来实现这种技术，成为在研究中使用局部邻域边界的额外障碍。
Population data are often available at various levels of aggregation, such as census tracts or block groups in the United States or output areas in the United Kingdom. These units are often drawn for convenience and not because they represent some commonly accepted area in residents’ lived experiences. Despite this, researchers often use them as proxies for neighborhoods since they come with readily available demographic data. Researchers who do wish to move past these proxies and produce population estimates for other geographies typically resort to developing their own, often manual, implementations of the areal weighted interpolation workflow (Qiu, Zhang, & Zhou, 2012). The lack of reliable and easy to use software that implements this technique has therefore served as an additional barrier to using local neighborhood boundaries in research.