49 results on '"Shih-Lung Shaw"'
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2. New Human Dynamics in the Emerging Metaverse: Towards a Quantum Phygital Approach by Integrating Space and Place (Vision Paper).
3. UCGIS at 25.
4. Guest Editors' Introduction: The Geospatial Humanities: Transdisciplinary Opportunities.
5. Automatic Identification System-Based Approach for Assessing the Near-Miss Collision Risk Dynamics of Ships in Ports.
6. The effect of temporal sampling intervals on typical human mobility indicators obtained from mobile phone location data.
7. A simple and direct method to analyse the influences of sampling fractions on modelling intra-city human mobility.
8. Identifying stops from mobile phone location data by introducing uncertain segments.
9. Editorial: GIScience for human dynamics research in a changing world.
10. Fine-grained prediction of urban population using mobile phone location data.
11. Toward space-time buffering for spatiotemporal proximity analysis of movement data.
12. Representing the Spatial Extent of Places Based on Flickr Photos with a Representativeness-Weighted Kernel Density Estimation.
13. Extracting and analyzing semantic relatedness between cities using news articles.
14. Spatiotemporal model for assessing the stability of urban human convergence and divergence patterns.
15. Measuring place-based accessibility under travel time uncertainty.
16. Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns.
17. Human dynamics in smart and connected communities.
18. Editorial: human dynamics in the mobile and big data era.
19. Spatiotemporal data model for network time geographic analysis in the era of big data.
20. Understanding the bias of call detail records in human mobility research.
21. Impacts of high-speed rails on the accessibility inequality of railway network in China.
22. An enhanced model for evacuation vulnerability assessment in urban areas.
23. Extracting and Analyzing Semantic Relatedness between Cities Using News Articles.
24. A Space-Time Raster GIS Data Model for Spatiotemporal Analysis of Vegetation Responses to a Freeze Event.
25. Exploring space-time paths in physical and social closeness spaces: a space-time GIS approach.
26. What about people in pedestrian navigation?
27. Map-matching algorithm for large-scale low-frequency floating car data.
28. A new insight into land use classification based on aggregated mobile phone data.
29. Hierarchical tone mapping based on image colour appearance model.
30. A Sensor-Fusion Drivable-Region and Lane-Detection System for Autonomous Vehicle Navigation in Challenging Road Scenarios.
31. Visual Exploratory Data Analysis of Traffic Volume.
32. A Voronoi neighborhood-based search heuristic for distance/capacity constrained very large vehicle routing problems.
33. Clustering of temporal event processes.
34. A GIS data model for landmark-based pedestrian navigation.
35. A framework of integrating GIS and parallel computing for spatial control problems - a case study of wildfire control.
36. Measuring segregation: an activity space approach.
37. Geographic Prevalence and Mix of Regional Cuisines in Chinese Cities.
38. An Invisible Salient Landmark Approach to Locating Pedestrians for Predesigned Business Card Route of Pedestrian Navigation.
39. A sensitive indicator of regional space-time accessibility.
40. Geographic information systems for transportation: from a static past to a dynamic future.
41. A Space-Time GIS Approach to Exploring Large Individual-based Spatiotemporal Datasets.
42. Exploring potential human activities in physical and virtual spaces: a spatio-temporal GIS approach.
43. Understanding the Representativeness of Mobile Phone Location Data in Characterizing Human Mobility Indicators.
44. Handling Disaggregate Spatiotemporal Travel Data in GIS.
45. A New Insight into Land Use Classification Based on Aggregated Mobile Phone Data.
46. An approach to integrate a space-time GIS data model with high performance computers.
47. TDMA'11 workshop overview.
48. Estimating Potential Demand of Bicycle Trips from Mobile Phone Data - An Anchor-Point Based Approach.
49. Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Data.
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