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processes and events in the centre:a dynamic data model for representing spatial change

International Journal of Digital Earth 2022年第1期15卷 276-295页

作者： Yufeng He Yehua Sheng Barbara Hofer Yi Huang Jiarui Qin School of Geography Nanjing Normal UniversityNanjingPeople’s Republic of China Key Laboratory of Virtual geographic Environment (Nanjing Normal University) Ministry of EducationNanjingPeople’s Republic of China Jiangsu Center for Collaborative Innovation in geographical Information Resource Development and Application NanjingPeople’s Republic of China Department of Geoinformatics-Z_GIS University of SalzburgSalzburgAustria School of geographic and Biologic Information Nanjing University of Posts and TelecommunicationsNanjingPeople’s Republic of China

Traditional geographic information system models for map representation use superposition of layers to model physical reality,neglecting the integrity of the environment and limiting the ability to express interactions between features in complex phenomenon.This results in limitations regarding dynamic simulation and geographic causality reasoning.In this paper,we extend the framework of the geographic scene by formalizing the relationship between geographic processes and events to construct a dynamic data model:the process-event-centred dynamic data model.The key element of this data model is relationships between processes,events,and states of the natural or man-made phenomenon of interest.The identified relationships can be translated into a network of hierarchical,developmental,and causal graphs and realized in the Neo4j graph database.The implementation in the graph database supports spatio-temporal reasoning in geographic scenes and achieves an organizational framework for simulating spatio-temporal dynamics and complex calculations.The example of a 2019 mega-typhoon process is used to demonstrate the introduced process-event-centred model and its implementation in the graph database.A series of queries to the graph database show the capabilities of the data model for spatial reasoning and dynamic modeling.

关键词： Spatio-temporal dynamics geographic scene geographic processes geographic events spatio-temporal reasoning graph database

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processes and events in the center: a taxi trajectory-based approach to detecting traffic congestion and analyzing its causes

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International Journal of Digital Earth 2023年第1期16卷 509-531页

作者： Yufeng He Barbara Hofer Yehua Sheng Yue Yin Hui Lin Key Laboratory of Poyang Lake Wetland and Watershed Research Ministry of EducationJiangxi Normal UniversityNanchangPeople’s Republic of China School of Geography and Environment Jiangxi Normal UniversityNanchangPeople’s Republic of China Department of Geoinformatics–Z_GIS University of SalzburgSalzburgAustria School of Geography Nanjing Normal UniversityNanjingPeople’s Republic of China

A novel approach is introduced for the detection of the location and direction of traffic congestion using GPS data from taxis.This approach uses a dynamic model that conceptualizes events,processes,and states.The states are the locations of the taxis,the processes are the motion of taxis,and the events are congestion.The model is implemented as a graph database,which represents the relationships between states,events,processes,and things(such as points of interest and road grid).Algorithms for constructing and updating the relationships and taxi behaviors dynamic retrieval method in Neo4j are presented and are used to demonstrate the capabilities in dynamic expression and reasoning.An implementation of Shanghai in 2015finally demonstrated the ability of congestion direction detection and the cause searching of traffic congestion.

关键词： VGE Spatio-temporal dynamics geographic processes traffic congestion trajectory

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