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Uses of online geoprocessing technology in analyses and case studies:a systematic analysis of literature

International Journal of Digital Earth 2015年第11期8卷 901-917页

作者： barbara hofer Interfaculty Department of Geoinformatics–Z_GIS University of SalzburgSalzburgAustria

Interpreting spatial data to derive information is a core task in the field of Geographic Information Science and Technology.A logical step following the collection of data in online repositories is to provide geoprocessing technology for analysing data *** geoprocessing technology can be employed for providing a specified set of tools in a theme-specific platform,documenting a model or workflow and making it widely available,automating recurring tasks or offering simple tools to a large user *** systematic analysis of literature evaluates how much available online geoprocessing tools are being used for answering questions in specific application *** initial set of articles is derived from a keyword-based search in the database *** set of articles is manually filtered to identify applications of online geoprocessing *** analysis of application-related articles shows that virtually all applications require further development of *** outside the spatial information science field are still underrepresented regarding the use of this *** required adaptation of technology for user tasks is identified as major barrier for the wide use of online *** research needs to assess user tasks and how online geoprocessing can provide the required functions in a useroriented manner.

关键词： e-science online geoprocessing Web service service-oriented architecture

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Innovation in geoprocessing for a Digital Earth

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International Journal of Digital Earth 2018年第1期11卷 3-6页

作者： barbara hofer Carlos Granell Lars Bernard Interfaculty Department of Geoinformatics-Z_GIS University of SalzburgSalzburgAustria Geospatial Technologies Research Group(GEOTEC) Universitat Jaume ICastellón de la PlanaSpain Chair of Geoinformatics Technische Universität DresdenDresdenGermany

Online geoprocessing,the provision and the use of spatial analysis functionality on the Web,is a powerful technological approach to fully realise the vision of a Digital *** Digital Earth objectives include the integration of information across diverse domains in order to address environmental and societal challenges as well as the interactive and exploratory provision of information to a wide audience(Craglia et al.2008).

关键词： interactive Earth Web

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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 *** approach uses a dynamic model that conceptualizes events,processes,and *** states are the locations of the taxis,the processes are the motion of taxis,and the events are *** 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 *** 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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Processes and events in the centre:a dynamic data model for representing spatial change

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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 *** results in limitations regarding dynamic simulation and geographic causality *** 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 *** key element of this data model is relationships between processes,events,and states of the natural or man-made phenomenon of *** identified relationships can be translated into a network of hierarchical,developmental,and causal graphs and realized in the Neo4j graph *** implementation in the graph database supports spatio-temporal reasoning in geographic scenes and achieves an organizational framework for simulating spatio-temporal dynamics and complex *** 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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