Estimating Population Attribute Values in a Table: "Get Me Started in" Iterative Proportional Fitting

被引:0
|
作者
Lomax, Nik [1 ]
Norman, Paul [1 ]
机构
[1] Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England
来源
PROFESSIONAL GEOGRAPHER | 2016年 / 68卷 / 03期
基金
英国经济与社会研究理事会;
关键词
controls and constraints; interaction matrix; iterative proportional fitting (IPF); population estimation; BASE-LINE POPULATIONS; CONTINGENCY-TABLES; MARGINAL TOTALS; CENSUS-DATA; MIGRATION; ADJUSTMENT; FREQUENCY; URBAN;
D O I
暂无
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Iterative proportional fitting (IPF) is a technique that can be used to adjust a distribution reported in one data set by totals reported in others. IPF is used to revise tables of data where the information is incomplete, inaccurate, outdated, or a sample. Although widely applied, the IPF methodology is rarely presented in a way that is accessible to nonexpert users. This article fills that gap through discussion of how to operationalize the method and argues that IPF is an accessible and transparent tool that can be applied to a range of data situations in population geography and demography. It offers three case study examples where IPF has been applied to geographical data problems; the data and algorithms are made available to users as supplementary material.
引用
收藏
页码:451 / 461
页数:11
相关论文
共 5 条