{"title":"使用HADOOP和R分析大型地理空间数据阵列的可能性","authors":"M. Talakh, Y. Tomka, Y. Ushenko, I. Soltys","doi":"10.31649/1681-7893-2022-44-2-49-54","DOIUrl":null,"url":null,"abstract":"The main problems associated with the processing of Big Data, in particular arrays containing geospatial data, are analyzed. The Hadoop platform is considered one of the basic approaches to the analysis of large data arrays and the possibility of its integration with the R environment. The potential possibilities of using the Hadoop platform for solving practical problems in the process of analyzing geospatial and spatiotemporal data are analyzed","PeriodicalId":142101,"journal":{"name":"Optoelectronic information-power technologies","volume":"518 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Possibilities of using HADOOP and R to analyze large arrays of geospatial data\",\"authors\":\"M. Talakh, Y. Tomka, Y. Ushenko, I. Soltys\",\"doi\":\"10.31649/1681-7893-2022-44-2-49-54\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main problems associated with the processing of Big Data, in particular arrays containing geospatial data, are analyzed. The Hadoop platform is considered one of the basic approaches to the analysis of large data arrays and the possibility of its integration with the R environment. The potential possibilities of using the Hadoop platform for solving practical problems in the process of analyzing geospatial and spatiotemporal data are analyzed\",\"PeriodicalId\":142101,\"journal\":{\"name\":\"Optoelectronic information-power technologies\",\"volume\":\"518 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optoelectronic information-power technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31649/1681-7893-2022-44-2-49-54\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optoelectronic information-power technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31649/1681-7893-2022-44-2-49-54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Possibilities of using HADOOP and R to analyze large arrays of geospatial data
The main problems associated with the processing of Big Data, in particular arrays containing geospatial data, are analyzed. The Hadoop platform is considered one of the basic approaches to the analysis of large data arrays and the possibility of its integration with the R environment. The potential possibilities of using the Hadoop platform for solving practical problems in the process of analyzing geospatial and spatiotemporal data are analyzed
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