{"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。
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.
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