{"title":"利用公共数据改进一致边界内的人口估计值","authors":"John R. Logan, Wenquan Zhang, Zengwang Xu","doi":"10.1080/00330124.2024.2306645","DOIUrl":null,"url":null,"abstract":"Studies of neighborhood change rely on interpolated data to cope with inconsistent boundaries of geographic units over time. The standard approach introduces error by assuming, counterfactually, th...","PeriodicalId":501059,"journal":{"name":"The Professional Geographer","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Public Data to Improve Population Estimates Within Consistent Boundaries\",\"authors\":\"John R. Logan, Wenquan Zhang, Zengwang Xu\",\"doi\":\"10.1080/00330124.2024.2306645\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Studies of neighborhood change rely on interpolated data to cope with inconsistent boundaries of geographic units over time. The standard approach introduces error by assuming, counterfactually, th...\",\"PeriodicalId\":501059,\"journal\":{\"name\":\"The Professional Geographer\",\"volume\":\"2 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Professional Geographer\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/00330124.2024.2306645\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Professional Geographer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/00330124.2024.2306645","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Public Data to Improve Population Estimates Within Consistent Boundaries
Studies of neighborhood change rely on interpolated data to cope with inconsistent boundaries of geographic units over time. The standard approach introduces error by assuming, counterfactually, th...