Spatial Information

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Peter Van Oosterom - One of the best experts on this subject based on the ideXlab platform.

  • Assessing Spatial Information Themes in the Spatial Information Infrastructure for Participatory Urban Planning Monitoring: Indonesian Cities
    ISPRS International Journal of Geo-Information, 2019
    Co-Authors: A. Indrajit, Bastiaan Van Loenen, Peter Van Oosterom
    Abstract:

    Most urban planning monitoring activities were designed to monitor implementation of aggregated sectors from different initiatives into practical and measurable indicators. Today, cities utilize Spatial Information in monitoring and evaluating urban planning implementation for not only national or local goals but also for the 2030 Agenda of Sustainable Development Goals (SDGs). Modern cities adopt Participatory Geographic Information System (PGIS) initiative for their urban planning monitoring. Cities provide Spatial Information and online tools for citizens to participate. However, the selection of Spatial Information services for participants is made from producers’ perception and often disregards requirements from the regulation, functionalities, and broader user’s perception. By providing appropriate Spatial Information, the quality of participatory urban monitoring can be improved. This study presents a method for selecting appropriate Spatial Information for urban planning monitoring. It considers regulation, urban planning, and Spatial science theories, as well as citizens’ requirements, to support participatory urban planning monitoring as a way to ensure the success of providing near real-time urban Information to planners and decision-makers.

Li Deren - One of the best experts on this subject based on the ideXlab platform.

  • Semantic Grid of Spatial Information
    2004
    Co-Authors: Li Deren
    Abstract:

    This paper defines the concept of the semantic grid and advances the semantic grid architecture of Spatial Information systems (SGASIS). The grid architecture has three layers, the fabric layer, the grid management layer and the application layer. The most important parts of the grid architecture are ontologies and the ontology transforms bridge. The transform bridge transforms ontology concept between local ontology and general ontology so as to encapsulate the local GIS and domain application and ensure that all operations are based on semantic. One example provide a detailed way on how to design a resource management system on the semantic grid. In conclusion, the semantic grid of Spatial Information system can improve the ability of the integration and interoperability of Spatial Information grid.

  • Spatial Information Multi-grid and Its Typical Application
    2004
    Co-Authors: Li Deren
    Abstract:

    A new representation method for Spatial data and Spatial Information-the Spatial Information multi-grid (SIMG) is proposed. Three potential functions and four aspects of challenges from grid computing environment to geo-Spatial Information science and technology are pointed. Subsequently the system architecture is introduced. For the applicability of SIMG in national census and decision-making, a SIMGPC scheme(Spatial Information multi-grid for population census)is designed.

  • From Digital Map to Spatial Information Multi-grid——A Thought of Spatial Information Multi-grid Theory
    2003
    Co-Authors: Li Deren
    Abstract:

    Starting from the thinking about the representations of geo-Spatial data in computer networks, this paper points out the challenge of grid computing environment to geo-Spatial Information science and technology. After the review and summation of the achieved progress and existing problems of geo-Spatial Information systems, the authors propose a new representation method for Spatial data and Spatial Information -- the Spatial Information multi-grid (SIMG), which can not only easily run at grid computing environment, but also properly consider the difference of natural and social characteristics in earth space as well as the different level of economical development in different areas. The system structure, data representation, data storage and data access in SIMG are described with emphasis on key techniques. The data conversion and transferring between SIMG and conventional Spatial databases are also discussed.

Tu Yong - One of the best experts on this subject based on the ideXlab platform.

Wenjun Wang - One of the best experts on this subject based on the ideXlab platform.

  • Design Open sharing Framework for Spatial Information in semantic web
    Lecture Notes in Computer Science, 2004
    Co-Authors: Yingwei Luo, Xiaolin Wang, Xinpeng Liu, Wenjun Wang
    Abstract:

    Existing Spatial Information resources in Internet are domain-oriented and GIS platform-dependent. Each Spatial Information resource is heterogeneous and becomes an Information island. How to let those Spatial Information islands become sharable and interoperable, how to help Internet users locate and access to their interested Spatial Information fast and accurately,..., are focus problems of Geoscience, and are also key technologies for Digital Earth and Spatial Information Infrastructure. An Open Spatial Information Sharing Framework (OSISF) is presented to attempt to solve those problems. OSISF is a services model that supports Spatial Information share and interoperation. OSISF separates service and Information into different resources in Internet, and metadata is used to describe the features of resource.

Emily R. Smith - One of the best experts on this subject based on the ideXlab platform.

  • Access to prior Spatial Information
    Memory & Cognition, 2020
    Co-Authors: Emily R. Smith, Jennifer Stiegler-balfour, Christopher R. Williams, Erinn K. Walsh, Edward J. O’brien
    Abstract:

    In six experiments, reading times and probe naming times were measured in order to examine the conditions under which Spatial Information became accessible and/or reactivated. In Experiments 1–4, reading times were measured for target sentences containing Spatial inconsistencies. Spatial inconsistencies did not disrupt processing (Experiment 1) unless there were increases in task demands (Experiment 2), elaboration of the protagonist’s location (Experiment 3), or both (Experiment 4). In Experiments 5 and 6, naming times were measured to directly assess the activation of Spatial Information, specifically objects associated with a protagonist. Spatial Information was highly active in memory immediately after being read and less active after four intervening sentences (Experiment 5), but explicit cues (e.g., location or object) as well as references to the current situation model were effective in reactivating previously mentioned Spatial Information (Experiment 6). The combined results of six experiments are discussed within the context of the RI-Val model.

  • Access to prior Spatial Information.
    Memory & cognition, 2020
    Co-Authors: Emily R. Smith, Jennifer Stiegler-balfour, Christopher R. Williams, Erinn K. Walsh, Edward J. O'brien
    Abstract:

    In six experiments, reading times and probe naming times were measured in order to examine the conditions under which Spatial Information became accessible and/or reactivated. In Experiments 1–4, reading times were measured for target sentences containing Spatial inconsistencies. Spatial inconsistencies did not disrupt processing (Experiment 1) unless there were increases in task demands (Experiment 2), elaboration of the protagonist’s location (Experiment 3), or both (Experiment 4). In Experiments 5 and 6, naming times were measured to directly assess the activation of Spatial Information, specifically objects associated with a protagonist. Spatial Information was highly active in memory immediately after being read and less active after four intervening sentences (Experiment 5), but explicit cues (e.g., location or object) as well as references to the current situation model were effective in reactivating previously mentioned Spatial Information (Experiment 6). The combined results of six experiments are discussed within the context of the RI-Val model.