Skip to main navigation
Skip to search
Skip to main content
Charles Sturt University Research Output Home
Home
Researchers
Research Organisations
Research Outputs
Datasets
Prizes
Activities
Press/Media
Impacts
Equipment
Search by expertise, name or affiliation
Time varying spatio-temporal covariance models
Ho Leung Ip
, Wai Keung Li
Data Science and Engineering Research Unit
DaMRG - Data Mining Research Group
Imaging and Sensing Research Group
Computing, Mathematics and Engineering
The University of Hong Kong
Research output
:
Contribution to journal
›
Article
›
peer-review
8
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Time varying spatio-temporal covariance models'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Spatio-temporal Covariance Model
100%
Covariance Model
100%
Traditional Models
100%
Practical Implementation
50%
Dependency Structure
50%
Improving Model
50%
Monitoring Network
50%
Varying Parameters
50%
Air Pollution Data
50%
Spatial Random Fields
50%
Model Flexibility
50%
Time-varying Model
50%
Computer Science
Traditional Model
100%
Network Monitoring
50%
Air Pollution
50%
Mathematics
Covariance Model
100%
Parametric
33%
Observed Data
33%
Random Field
33%
Agricultural and Biological Sciences
Covariance
100%
Air Pollution
33%