Mining sequential activity–travel patterns for individual‐level human activity prediction using Bayesian networks-Reference-Cited by-同舟云学术

Mining sequential activity–travel patterns for individual‐level human activity prediction using Bayesian networks

Published:2020-05-30 Issue:5 Volume:24 Page:1341-1358
ISSN:1361-1682
Container-title:Transactions in GIS
language:en
Short-container-title:Transactions in GIS

Author:

Xu Li¹^ORCID,Kwan Mei‐Po²³^ORCID

Affiliation:

1. Department of Geography & Geographic Information Science University of Illinois at Urbana‐Champaign Urbana IL61801USA

2. Department of Geography and Resource Management Institute of Space and Earth Information Science The Chinese University of Hong Kong Hong Kong China

3. Department of Human Geography and Spatial Planning Utrecht University Utrecht The Netherlands

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12635

Reference43 articles.

1. Mining sequential patterns

2. Social LSTM: Human Trajectory Prediction in Crowded Spaces

3. Challenging problems of geospatial visual analytics

4. A visual analytics framework for spatio-temporal analysis and modelling

5. Viewing Visual Analytics as Model Building

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