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Trajectory Data Analyses for Pedestrian Space-time Activity Study

https://doi.org/10.3791/50130
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-26772-7_15openalex-snapshot
A Visualization Environment for the Space-Time-Cube
inferredcites →https://doi.org/10.1007/978-1-4614-1629-6openalex-snapshot
Computing with Spatial Trajectories
inferredcites →https://doi.org/10.1007/978-1-4614-1629-6_1openalex-snapshot
Trajectory Preprocessing
inferredcites →https://doi.org/10.1016/s0968-090x(00)00017-6openalex-snapshot
Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set
inferredcites →https://doi.org/10.1038/nature02759openalex-snapshot
The challenge of emerging and re-emerging infectious diseases
inferredcites →https://doi.org/10.1080/13658816.2010.511223openalex-snapshot
Space–time density of trajectories: exploring spatio-temporal patterns in movement data
inferredcites →https://doi.org/10.1109/38.511openalex-snapshot
Display of surfaces from volume data
inferredcites →https://doi.org/10.1109/mcg.1987.276953openalex-snapshot
IEEE Computer Graphics and Application
inferredcites →https://doi.org/10.1109/tpami.2007.70771openalex-snapshot
Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking
inferredcites →https://doi.org/10.1111/j.1467-9272.2006.00524.xopenalex-snapshot
Application of Tracking Technologies to the Study of Pedestrian Spatial Behavior∗
inferredcites →https://doi.org/10.1126/science.1125237openalex-snapshot
Synchrony, Waves, and Spatial Hierarchies in the Spread of Influenza
inferredcites →https://doi.org/10.1145/378456.378484openalex-snapshot
Volume rendering
inferredcites →https://doi.org/10.1371/journal.pntd.0000481openalex-snapshot
The Role of Human Movement in the Transmission of Vector-Borne Pathogens
inferredcites →https://doi.org/10.1559/152304006777323136openalex-snapshot
Spatio-temporal GIS Design for Exploring Interactions of Human Activities

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4666081openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-981-16-3637-0_53openalex-snapshot
Virtual Spider for Real-Time Finding Things Close to Pedestrians
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2018.08.019openalex-snapshot
Applications and impacts of Google Earth: A decadal review (2006–2016)
inferred← citeshttps://doi.org/10.1016/j.procs.2021.03.018openalex-snapshot
From Raw Pedestrian Trajectories to Semantic Graph Structured Model—Towards an end-to-end spatiotemporal analytics framework
inferred← citeshttps://doi.org/10.1080/13658816.2018.1434889openalex-snapshot
Detecting spatial community structure in movements
inferred← citeshttps://doi.org/10.1080/14616688.2019.1611909openalex-snapshot
Spatiotemporal tourist behaviour in urban destinations: a framework of analysis
inferred← citeshttps://doi.org/10.1101/2021.10.10.463811openalex-snapshot
Waning grasslands: a quantitative temporal evaluation of the grassland habitats across human-dominated upper Gangetic Plains, north India
inferred← citeshttps://doi.org/10.1177/27541231251318347openalex-snapshot
Revealing the city-scale spatial coopetitive relationships between themed and non-themed tourism attractions in three Chinese cities
inferred← citeshttps://doi.org/10.1186/1476-072x-12-6openalex-snapshot
Tracking and visualization of space-time activities for a micro-scale flu transmission study
inferred← citeshttps://doi.org/10.3390/ijerph120708504openalex-snapshot
Defining Neighbourhoods as a Measure of Exposure to the Food Environment
inferred← citeshttps://doi.org/10.3390/ijgi7050190openalex-snapshot
A Smartphone-Based System for Outdoor Data Gathering Using a Wireless Beacon Network and GPS Data: From Cyber Spaces to Senseable Spaces
inferred← citeshttps://doi.org/10.3390/ijgi9060348openalex-snapshot
Time, Spatial, and Descriptive Features of Pedestrian Tracks on Set of Visualizations
inferred← citeshttps://doi.org/10.3390/ijgi9120727openalex-snapshot
Quality of GNSS Traces from VGI: A Data Cleaning Method Based on Activity Type and User Experience
inferred← citeshttps://doi.org/10.3390/ijgi9120754openalex-snapshot
The Land Use Mapping Techniques (Including the Areas Used by Pedestrians) Based on Low-Level Aerial Imagery
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