Zobrazeno 1 - 10
of 2 602
pro vyhledávání: '"Spatio-temporal data"'
Autor:
Yun WANG, Zhishuang DU, Kang TIAN, Xiaobao SU, Pengfei CHANG, Difei MEI, Jinyu LI, Longjian JI, Yifeng GUO, Wuai ZHOU, Wanzhe ZHANG, Jianhua FENG
Publikováno v:
大数据, Vol 10, Pp 149-160 (2024)
Natural resources and geographic information big data are regarded as essential productive factors in the context of digital government, and an important component of the national integrated government big data system.Due to data dispersion and isola
Externí odkaz:
https://doaj.org/article/62ef8302454f4d49b521c74499d81f9c
Publikováno v:
Human-Centric Intelligent Systems, Vol 4, Iss 3, Pp 406-416 (2024)
Abstract Government collaboration tasks are integral for grassroots governance and essential for government administration. Large-scale government collaboration tasks often involve multiple departments working together to solve complex tasks that req
Externí odkaz:
https://doaj.org/article/18e8c5ef817b4f69890ba417f795cba2
Autor:
Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Accurately predicting the spatio-temporal evolution trends and long-term dynamics of three-dimensional ocean temperature and salinity plays a crucial role in monitoring climate system changes and conducting fundamental oceanographic research. Numeric
Externí odkaz:
https://doaj.org/article/885c5c8386874a3f9d91f17601290480
Autor:
HeounMo Go, SangHyun Park
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Crowd flow prediction has been studied for a variety of purposes, ranging from the private sector such as location selection of stores according to the characteristics of commercial districts and customer-tailored marketing to the public sec
Externí odkaz:
https://doaj.org/article/3b6a114c6e6f4af39687636bb95ce5e7
Publikováno v:
Geo-spatial Information Science, Pp 1-24 (2024)
The digital twin city technique maps the massive city environmental and social data on a three-dimensional virtual model. It presents the operational status of physical world and supports intelligent city governance. However, the inefficient utilizat
Externí odkaz:
https://doaj.org/article/bfe93bae2f174a1e895b7dc31407663e
Publikováno v:
IEEE Access, Vol 12, Pp 156307-156326 (2024)
Spatio-temporal data possess intrinsic values, reflecting the spatial and temporal features of people’s behaviors. Due to the sensitive nature of this data (e.g., workplace, residence, school locations), privacy protection is essential when collect
Externí odkaz:
https://doaj.org/article/34f6d9310db34d808a22444212e8aa14
Publikováno v:
IEEE Access, Vol 12, Pp 91447-91461 (2024)
The relationship between commercial vehicle travel patterns and urban functional areas reveals potential connections between urban form and human geographic flows, which provides critical information for optimizing urban transportation systems. Benef
Externí odkaz:
https://doaj.org/article/528df32e6cf442e2bf5cf827a14d1560
Autor:
David Martinez Casas, Jose R. R. Viqueira, Sebastian Villarroya, Jose M. Cotos, Julian Flores
Publikováno v:
IEEE Access, Vol 12, Pp 79445-79457 (2024)
This paper describes a data access and interactive exploration infrastructure for High Frequency Radar (HF Radar) data, developed in the scope of the RADAR-ON-RAIA EU project. The data access server is based on the use of Open Geospatial Consortium (
Externí odkaz:
https://doaj.org/article/f1f049400be54ec8896ffa692d02bdae
Publikováno v:
IEEE Access, Vol 12, Pp 8744-8772 (2024)
Existing vehicle position estimation methods are mostly based on Global Positioning System (GPS) or a fusion of GPS and machine learning methods to realize vehicle position estimation. While highway tunnels are many, GPS signals are easy to be interf
Externí odkaz:
https://doaj.org/article/f7576d665b924dd584bed5411dd0d5f9