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Spatiotemporal geospatial modeling for 3D city based on edge computing using statistical framework linear injection model based on multi-data source fusion

dc.contributor.authorWang, Xingang
dc.contributor.authorZhu, Binruo
dc.contributor.authorZhang, Yin
dc.contributor.authorChen, Jintao
dc.contributor.authorZhao, Fang
dc.contributor.authorGarcía Díaz, Vicente 
dc.date.accessioned2021-11-09T07:34:58Z
dc.date.available2021-11-09T07:34:58Z
dc.identifier.citationArabian Journal For Science And Engineering (2021); doi:10.1007/s13369-021-05603-w
dc.identifier.issn2193-567X
dc.identifier.issn2191-4281
dc.identifier.urihttp://hdl.handle.net/10651/61111
dc.description.sponsorshipScience and Technology Project of State Grid Cooperation of China [1100-201919158A-0-0-00]
dc.language.isoeng
dc.relation.ispartofArabian Journal For Science And Engineering
dc.rights© King Fahd University of Petroleum & Minerals 2021
dc.sourceWOS:000641216800004
dc.titleSpatiotemporal geospatial modeling for 3D city based on edge computing using statistical framework linear injection model based on multi-data source fusion
dc.typejournal article
dc.identifier.doi10.1007/s13369-021-05603-w
dc.relation.publisherversionhttp://dx.doi.org/10.1007/s13369-021-05603-w


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