Changing boundaries: Overcoming modifiable areal unit problems related to unemployment data in South Africa.
Changing boundaries: Overcoming modifiable areal unit problems related to unemployment data in South Africa.
复制标题
改变边界：克服与南非失业数据相关的可修改的面积单位问题。
DOI：
10.17159/sajs.2016/20150115
复制
发表时间：
2016
影响因子：
2.4
通讯作者：
G. Weir
中科院分区：
文献类型：
--
作者：
G. Weir
由于行政边界的变化，人口普查数据的空间格式纵向比较往往存在问题。这种变化的边界被称为可修改的面积单元问题（MAUP）。本文利用南非1991年至2007年的失业数据来说明这一挑战并提出克服它的方法。南非的各种人口普查使用不同的报告地理位置。1991年和1996年人口普查的马格努什区失业数据根据2005年的市镇边界重新建模。这篇文章表明，区域内插到一个共同的行政边界可以克服这些报告的障碍。结果证实，更准确的插值在农村地区的标准误差低于3300。相反，大都市地区记录的误差最大。从1996年到2001年的统计数字来看，失业率大幅上升也是显而易见的，特别是在大都市地区。虽然这些地区的情况比较复杂，因此更难以准确计算普查数据，但失业率的增加也可能是普查方法的结果。文章的结论是，社会经济数据应在尽可能小的地理区域，以确保更准确的结果插值。报告还建议，应将新的产出领域概念化，以创建一个无缝的南非1991年至2011年人口普查数据数据库。
The longitudinal comparison of census data in spatial format is often problematic because of changes in administrative boundaries. Such shifting boundaries are referred to as the modifiable areal unit problem (MAUP). This article utilises unemployment data between 1991 and 2007 in South Africa to illustrate the challenge and proposes ways to overcome it. Various censuses in South Africa use different reporting geographies. Unemployment data for magisterial districts of census 1991 and 1996 were re-modelled to the 2005 municipal boundaries. This article showed that areal interpolation to a common administrative boundary could overcome these reporting obstacles. The results confirmed more accurate interpolations in rural areas with standard errors below 3300. Conversely, the largest errors were recorded in the metropolitan areas. Huge increases in unemployment between 1996 and 2001 statistics were also evident, especially in the metropolitan areas. Although such areas are more complex in nature, making it more difficult to accurately calculate census data, the increase in unemployment could also be the result of census taking methods. The article concludes that socio-economic data should be available at the smallest possible geographic area to ensure more accurate results in interpolation. It also recommends that new output areas be conceptualised to create a seamless database of census data from 1991 to 2011 in South Africa.