Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Link opens in a new tab
Search content at Penn State
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Discovering Spatial Patterns in Origin-Destination Mobility Data
Diansheng Guo
, Xi Zhu
, Hai Jin
, Peng Gao
, Clio Andris
Geography
Research output
:
Contribution to journal
›
Article
›
peer-review
178
Link opens in a new tab
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Discovering Spatial Patterns in Origin-Destination Mobility Data'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Origin-destination
100%
Mobility Data
100%
Temporal Trends
33%
Spatial Distribution
33%
Spatial Clustering
33%
Spatial Structure
33%
Spatial-temporal
33%
Point Location
33%
Vehicle Trajectory
33%
Extracting Information
33%
Number of Points
33%
Spatiotemporal Pattern
33%
Pattern Structures
33%
Movement Trajectory
33%
Animal Movement
33%
Pattern Extraction
33%
Spatial Interaction
33%
Interaction Data
33%
Distribution Trends
33%
Massive Data
33%
GPS Points
33%
Taxi Trajectory
33%
Meaningful Places
33%
Human Daily Activity
33%
Pattern Understanding
33%
Detecting Location
33%
Location-aware Technology
33%
Flow Measure
33%
Complex Connection
33%
Location Patterns
33%
Computer Science
Large Data Set
100%
Spatial Pattern
100%
Case Study
50%
Extract Information
50%
Location Pattern
50%
Spatial Interaction
50%
Spatial Structure
50%
Global Positioning System
50%
Spatial Distribution
50%
Destination Pair
50%
Pattern Structure
50%
Extraction Pattern
50%