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

dc.contributor.author	Wang, Xingang
dc.contributor.author	Zhu, Binruo
dc.contributor.author	Zhang, Yin
dc.contributor.author	Chen, Jintao
dc.contributor.author	Zhao, Fang
dc.contributor.author	García Díaz, Vicente
dc.date.accessioned	2021-11-09T07:34:58Z
dc.date.available	2021-11-09T07:34:58Z
dc.identifier.citation	Arabian Journal For Science And Engineering (2021); doi:10.1007/s13369-021-05603-w
dc.identifier.issn	2193-567X
dc.identifier.issn	2191-4281
dc.identifier.uri	http://hdl.handle.net/10651/61111
dc.description.sponsorship	Science and Technology Project of State Grid Cooperation of China [1100-201919158A-0-0-00]
dc.language.iso	eng
dc.relation.ispartof	Arabian Journal For Science And Engineering
dc.rights	© King Fahd University of Petroleum & Minerals 2021
dc.source	WOS:000641216800004
dc.title	Spatiotemporal geospatial modeling for 3D city based on edge computing using statistical framework linear injection model based on multi-data source fusion
dc.type	journal article
dc.identifier.doi	10.1007/s13369-021-05603-w
dc.relation.publisherversion	http://dx.doi.org/10.1007/s13369-021-05603-w

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