使用大变量集的制图分类

V. L. Kozhara
{"title":"使用大变量集的制图分类","authors":"V. L. Kozhara","doi":"10.1080/07493878.1997.10642066","DOIUrl":null,"url":null,"abstract":"Use the Volga River as an example, the author describes general problems arising in cartographic classification and mapping when employing large sets of variables. The geographic patterns revealed in a joint analysis of a taxonomic and chorologic space under conditions of information saturation are described. General geographical conclusions of a methodological nature are drawn. Translated by Edward Torrey, Alexandria, VA 22308 from: Izvestiya Akademii Nauk, seriya geograficheskaya, 1997, No. 1, pp. 129-142.","PeriodicalId":175956,"journal":{"name":"Mapping Sciences & Remote Sensing","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"CARTOGRAPHIC CLASSIFICATION USING LARGE SETS OF VARIABLES\",\"authors\":\"V. L. Kozhara\",\"doi\":\"10.1080/07493878.1997.10642066\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Use the Volga River as an example, the author describes general problems arising in cartographic classification and mapping when employing large sets of variables. The geographic patterns revealed in a joint analysis of a taxonomic and chorologic space under conditions of information saturation are described. General geographical conclusions of a methodological nature are drawn. Translated by Edward Torrey, Alexandria, VA 22308 from: Izvestiya Akademii Nauk, seriya geograficheskaya, 1997, No. 1, pp. 129-142.\",\"PeriodicalId\":175956,\"journal\":{\"name\":\"Mapping Sciences & Remote Sensing\",\"volume\":\"121 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mapping Sciences & Remote Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/07493878.1997.10642066\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mapping Sciences & Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/07493878.1997.10642066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

以伏尔加河为例,作者描述了在使用大变量集时在制图分类和制图中出现的一般问题。本文描述了在信息饱和条件下对分类学和地理空间进行联合分析所揭示的地理格局。得出了具有方法学性质的一般地理结论。Edward Torrey, Alexandria, VA 22308,摘自:Izvestiya Akademii Nauk, seriya geograficheskaya, 1997, No. 1, pp. 129-142。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CARTOGRAPHIC CLASSIFICATION USING LARGE SETS OF VARIABLES
Use the Volga River as an example, the author describes general problems arising in cartographic classification and mapping when employing large sets of variables. The geographic patterns revealed in a joint analysis of a taxonomic and chorologic space under conditions of information saturation are described. General geographical conclusions of a methodological nature are drawn. Translated by Edward Torrey, Alexandria, VA 22308 from: Izvestiya Akademii Nauk, seriya geograficheskaya, 1997, No. 1, pp. 129-142.
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:604180095
Book学术官方微信