利用公共数据改进一致边界内的人口估计值

John R. Logan, Wenquan Zhang, Zengwang Xu
{"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}
引用次数: 0

摘要

对邻里变化的研究依赖于内插数据,以应对地理单元边界随时间变化而不一致的问题。这种标准方法会引入误差,因为它会反事实地假设...
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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...
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信