Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Li, Dongshuang, Yu, Zhaoyuan, Wu, Fan, Luo, Wen, Hu, Yong, Yuan, Linwang (2020) The Tensor‐based Feature Analysis of Spatiotemporal Field Data With Heterogeneity. Earth and Space Science, 7 (2). doi:10.1029/2019ea001037

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleThe Tensor‐based Feature Analysis of Spatiotemporal Field Data With Heterogeneity
JournalEarth and Space Science
AuthorsLi, DongshuangAuthor
Yu, ZhaoyuanAuthor
Wu, FanAuthor
Luo, WenAuthor
Hu, YongAuthor
Yuan, LinwangAuthor
Year2020 (February)Volume7
Issue2
PublisherAmerican Geophysical Union (AGU)
DOIdoi:10.1029/2019ea001037Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID3048720Long-form Identifiermindat:1:5:3048720:0
GUID0
Full ReferenceLi, Dongshuang, Yu, Zhaoyuan, Wu, Fan, Luo, Wen, Hu, Yong, Yuan, Linwang (2020) The Tensor‐based Feature Analysis of Spatiotemporal Field Data With Heterogeneity. Earth and Space Science, 7 (2). doi:10.1029/2019ea001037
Plain TextLi, Dongshuang, Yu, Zhaoyuan, Wu, Fan, Luo, Wen, Hu, Yong, Yuan, Linwang (2020) The Tensor‐based Feature Analysis of Spatiotemporal Field Data With Heterogeneity. Earth and Space Science, 7 (2). doi:10.1029/2019ea001037
In(2020, February) Earth and Space Science Vol. 7 (2) American Geophysical Union (AGU)

See Also

These are possibly similar items as determined by title/reference text matching only.

Li, Dongshuang, Gao, Hong, Luo, Wen, Yu, Zhaoyuan, Yuan, Linwang (2019) Multidimensional Feature Explorer for Unbalanced Spatiotemporal Data. Earth and Space Science, 6 (5) 716-729 doi:10.1029/2018ea000514
Yu, Zhaoyuan, Li, Dongshuang, Zhang, Zhengfang, Luo, Wen, Liu, Yuan, Wang, Zengjie, Yuan, Linwang (2021) Lossy compression of Earth system model data based on a hierarchical tensor with Adaptive-HGFDR (v1.0) Geoscientific Model Development, 14 (2) 875-887 doi:10.5194/gmd-14-875-2021
Li, Dongshuang, Yu, Zhaoyuan, Luo, Wen, Hu, Yong, Che, Xiaoyu, Yuan, Linwang (2018) Optimal Route Searching with Multiple Dynamical Constraints—A Geometric Algebra Approach. ISPRS International Journal of Geo-Information, 7. 172pp. doi:10.3390/ijgi7050172
Yuan, Linwang, Yu, Zhaoyuan, Luo, Wen, Hu, Yong, Feng, Linyao, Zhu, A-Xing (2015) A Hierarchical Tensor-Based Approach to Compressing, Updating and Querying Geospatial Data. IEEE Transactions on Knowledge and Data Engineering, 27 (2) 312-325 doi:10.1109/tkde.2014.2330829
Li, Dongshuang, Teng, Yuhao, Zhou, Xinxin, Zhang, Jiyi, Luo, Wen, Zhao, Binru, Yu, Zhaoyuan, Yuan, Linwang (2022) A tensor-based approach to unify organization and operation of data for irregular spatio-temporal fields. International Journal of Geographical Information Science, 36 (9) 1885-1904 doi:10.1080/13658816.2022.2092116
Hu, Xu, Li, Dongshuang, Yu, Zhaoyuan, Yan, Zhenjun, Luo, Wen, Yuan, Linwang (2022) Quantum harmonic oscillator model for fine-grained expressway traffic volume simulation considering individual heterogeneity. Physica A: Statistical Mechanics and its Applications, 605. 128020 doi:10.1016/j.physa.2022.128020
Yuan, Linwang, Yu, Zhaoyuan, Luo, Wen, Yi, Lin, Hu, Yong (2013) Pattern forced geophysical vector field segmentation based on Clifford FFT. Computers & Geosciences, 60. 63-69 doi:10.1016/j.cageo.2013.05.007
Yu, Zhaoyuan, Luo, Wen, Hu, Yong, Yuan, Linwang, Zhu, A-Xing, Lü, Guonian (2015) Change detection for 3D vector data: a CGA-based Delaunay–TIN intersection approach. International Journal of Geographical Information Science, 29 (12). 2328-2347 doi:10.1080/13658816.2015.1077963
Luo, Wen, Yu, Zhaoyuan, Yuan, Linwang, Hu, Yong, Zhu, A-Xing, Lü, Guonian (2017) Template-based GIS computation: a geometric algebra approach. International Journal of Geographical Information Science, 31 (10). 2045-2067 doi:10.1080/13658816.2017.1346796
Xiao, Shengjun, Yuan, Linwang, Luo, Wen, Li, Dongshuang, Zhou, Chunye, Yu, Zhaoyuan (2019) Recovering Human Motion Patterns from Passive Infrared Sensors: A Geometric-Algebra Based Generation-Template-Matching Approach. ISPRS International Journal of Geo-Information, 8. 554pp. doi:10.3390/ijgi8120554
Gao, Hong, Yan, Zhenjun, Hu, Xu, Yu, Zhaoyuan, Luo, Wen, Yuan, Linwang, Zhang, Jiyi (2021) A Method for Exploring and Analyzing Spatiotemporal Patterns of Traffic Congestion in Expressway Networks Based on Origin–Destination Data. ISPRS International Journal of Geo-Information, 10 (5) 288pp. doi:10.3390/ijgi10050288
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 27, 2025 07:10:20
Go to top of page