{"title":"数据立方体和云资源作为无缝地理空间计算的平台","authors":"G. Pagani, L. Trani","doi":"10.1145/3203217.3205861","DOIUrl":null,"url":null,"abstract":"The data cube paradigm has been successfully applied in several domains of the geosciences. In this work we present the results of an analysis conducted in the context of the EU project EUDAT2020. We combined the data cube concept with cloud resources in a specific use case: the computation of the sky view factor of The Netherlands. We report our experience moving from a \"traditional\" - file-based - approach to a data cube approach to manage and analyse large geospatial datasets. We provide an empirical analysis of the results from a user perspective, discuss possible applications and recommendations.","PeriodicalId":127096,"journal":{"name":"Proceedings of the 15th ACM International Conference on Computing Frontiers","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Data cube and cloud resources as platform for seamless geospatial computation\",\"authors\":\"G. Pagani, L. Trani\",\"doi\":\"10.1145/3203217.3205861\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The data cube paradigm has been successfully applied in several domains of the geosciences. In this work we present the results of an analysis conducted in the context of the EU project EUDAT2020. We combined the data cube concept with cloud resources in a specific use case: the computation of the sky view factor of The Netherlands. We report our experience moving from a \\\"traditional\\\" - file-based - approach to a data cube approach to manage and analyse large geospatial datasets. We provide an empirical analysis of the results from a user perspective, discuss possible applications and recommendations.\",\"PeriodicalId\":127096,\"journal\":{\"name\":\"Proceedings of the 15th ACM International Conference on Computing Frontiers\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 15th ACM International Conference on Computing Frontiers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3203217.3205861\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 15th ACM International Conference on Computing Frontiers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3203217.3205861","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data cube and cloud resources as platform for seamless geospatial computation
The data cube paradigm has been successfully applied in several domains of the geosciences. In this work we present the results of an analysis conducted in the context of the EU project EUDAT2020. We combined the data cube concept with cloud resources in a specific use case: the computation of the sky view factor of The Netherlands. We report our experience moving from a "traditional" - file-based - approach to a data cube approach to manage and analyse large geospatial datasets. We provide an empirical analysis of the results from a user perspective, discuss possible applications and recommendations.
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