RESEARCH ON BEHAVIORAL MOTIVATION INFERENCE METHOD FOR GEOGRAPHICAL SPATIOTEMPORAL LARGE DATA
Along with the rapid development of Internet technology, GNSS technology and mobile terminals, a large amount of information including geographical location and time attributes has been generated. Faced with large and complex Internet geospatial data, how to quickly and accurately extract valuable r...
Main Authors: | J. W. Li, W. D. Chen, Y. Ma, N. Yu, X. Li, J. W. Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-02-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/725/2020/isprs-archives-XLII-3-W10-725-2020.pdf |
Similar Items
-
RESEARCH ON STUDENT BEHAVIOR INFERENCE METHOD BASED ON FP-GROWTH ALGORITHM
by: J. W. Li, et al.
Published: (2020-02-01) -
AN EFFICIENT CLUSTERING METHOD FOR DBSCAN GEOGRAPHIC SPATIO-TEMPORAL LARGE DATA WITH IMPROVED PARAMETER OPTIMIZATION
by: J. W. Li, et al.
Published: (2020-02-01) -
RESEARCH ON CONSTRUCTION METHOD OF SPATIO-TEMPORAL DATA MODEL BASED ON BEHAVIOR-EVENT
by: J. W. Li, et al.
Published: (2020-02-01) -
Research on New Spatial Data Infrastructure Supports the Circulation of Geographic Information Data Elements
by: H. Li, et al.
Published: (2024-10-01) -
RESEARCH ON THE WAY OF SHARING GEOGRAPHIC INFORMATION DATA IN DISASTER MANAGEMENT
by: T. T. Zhao, et al.
Published: (2022-10-01)