A statistical consideration on the mapping of mortality

Norihiko Miyawaki, Sheng-Chih Chen
{"title":"A statistical consideration on the mapping of mortality","authors":"Norihiko Miyawaki,&nbsp;Sheng-Chih Chen","doi":"10.1016/0160-8002(81)90019-8","DOIUrl":null,"url":null,"abstract":"<div><p>The mortality map shows a spatial distribution of the death phenomena over a certain period of time and facilitates analysis of factors which influence disease. In constructing a mortality map, it is desirable from the geographical point of view to make each areal unit as small as possible so that we can compare it with other regions with different characters. On the other hand, since the number of deaths in each region decreases as each areal unit becomes smaller, the comparison of the level of mortality rate among the regions is known to become more difficult owing to the influence of random errors. Therefore the areal unit has to be fairly large from the statistical point of view. Those two demands conflict with each other. In practice it is necessary to set up appropriate areal units to make a good compromise between those two conflicting demands. In this paper, this problem is discussed in terms of statistical theory.</p></div>","PeriodicalId":79263,"journal":{"name":"Social science & medicine. Part D, Medical geography","volume":"15 1","pages":"Pages 93-101"},"PeriodicalIF":0.0000,"publicationDate":"1981-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0160-8002(81)90019-8","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social science & medicine. Part D, Medical geography","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0160800281900198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

Abstract

The mortality map shows a spatial distribution of the death phenomena over a certain period of time and facilitates analysis of factors which influence disease. In constructing a mortality map, it is desirable from the geographical point of view to make each areal unit as small as possible so that we can compare it with other regions with different characters. On the other hand, since the number of deaths in each region decreases as each areal unit becomes smaller, the comparison of the level of mortality rate among the regions is known to become more difficult owing to the influence of random errors. Therefore the areal unit has to be fairly large from the statistical point of view. Those two demands conflict with each other. In practice it is necessary to set up appropriate areal units to make a good compromise between those two conflicting demands. In this paper, this problem is discussed in terms of statistical theory.

对死亡率制图的统计考虑
死亡率图显示了一定时期内死亡现象的空间分布,便于分析影响疾病的因素。在绘制死亡率图时,从地理角度看,最好使每个面积单位尽可能小,以便与其他具有不同特征的地区进行比较。另一方面,由于每个区域的死亡人数随着每个面积单位的缩小而减少,因此,由于随机误差的影响,比较各区域之间的死亡率水平变得更加困难。因此,从统计学的角度来看,面积单位必须相当大。这两种要求相互冲突。在实践中,有必要设置适当的区域单位,在这两种相互矛盾的要求之间作出良好的妥协。本文从统计理论的角度对这一问题进行了探讨。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:604180095
Book学术官方微信