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Using Secondary Data to Measure, Monitor and Visualise Spatio-Temporal Uncertainties in Geodemographics

使用二手数据测量、监测和可视化地理人口统计学中的时空不确定性

基本信息

批准号：
ES/K004719/1
负责人：
Alex Singleton
金额：
$ 18.71万
依托单位：
University of Liverpool
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2013
资助国家：
英国
起止时间：
2013 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=ES%2FK004719%2F1
关键词：
Using Secondary Data Measure Monitor

项目摘要

Geodemographic classifications are categorical summary measures of the built, social and economic characteristics of small geographical areas. There are many geodemographic classifications supplied by both the commercial and non-commercial sectors; however, the most widely used non-commercial geodemographic is the Office for National Statistics (ONS) Output Area Classification (OAC) which was constructed entirely from the 2001 Census data. This classification has generated great impact with a user community drawn principally from across the public sector (www.areaclassification.org). The success and growing user base of 2001 OAC has led to the ONS supporting the construction of a new classification utilising the 2011 Census data once released.A common criticism levied at classifications which are built entirely from Census data is that they are insufficiently contemporary given that collated data are not available for some years after each Census, and, that over time, these data may become increasingly unrepresentative of current population and built structures within small areas. The 2001 OAC methodology contained no mechanism through which these errors could be assessed over time, or for the classification to be reviewed and possibly updated utilising more recent data. As such, within the historical context of the 2001 OAC, this project will integrate secondary data to implement a methodology of screening of small area residential structures over time, and create temporal measures of uncertainty that can be both communicated to policy-practitioner audiences, and furthermore, be utilised to provide updates to the 2001 OAC. This work will establish a methodology which can then be used prospectively in the construction of the 2011 OAC.

地理人口分类是对小地理区域的建筑、社会和经济特征的分类汇总措施。商业和非商业部门都提供了许多地理人口分类；然而，使用最广泛的非商业地理人口分类是国家统计局产出面积分类，它完全是根据2001年人口普查数据编制的。这一分类对主要来自公共部门的用户社区产生了重大影响(www.areaclassifiation.org)。2001年OAC的成功和不断增长的用户基础导致国家统计局支持利用2011年人口普查数据建立新的分类。完全根据人口普查数据建立的分类受到的一个常见批评是，由于每次人口普查后几年都没有整理的数据，这些数据可能会越来越不能代表当前人口和小区域内的已建结构，因此它们不够时代性。2001年的OAC方法没有包含任何机制，通过这些机制可以随着时间的推移评估这些错误，或者审查分类并可能利用更新的数据进行更新。因此，在2001年OAC的历史背景下，该项目将整合二手数据，以实施一种随时间推移筛选小区域住宅结构的方法，并创建可传达给政策从业人员受众的临时不确定性衡量标准，此外，还将用于提供2001 OAC的最新情况。这项工作将确立一种方法，然后可用于2011年审计委员会的建设。