Development and implementation of a dynamic and 4D GIS based on semantic location model

Journal article (2019)

Authors

Xinyan Zhu Wuhan University
Tao Hu Wuhan University
Xinyue Ye New Jersey Institute of Technology
Wei Guo Wuhan University
L. Huang Wuhan University of Technology
Hanjiang Xiong Wuhan University
Haojun Ai Wuhan University
Bing She University of Michigan
Qing Xiong Wuhan University
Lian Duan Guangxi Teachers Education University, Guangxi Normal University, Key Laboratory of Environment Change and Resources Use in Beibu Gulf
Research Group
Safety and Security Science (TPM) (TU Delft)
Big data 4D map Place-based pan-information system (P2S) Semantic location model Ubiquitous information
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Published Date

2019

Language

English

Reuse Rights

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Faculty

Technology, Policy and Management

Department

Values Technology and Innovation

Research Group

Safety and Security Science

Abstract

In the big data era, robust solutions are obliged to be proposed to integrate and represent data from different formats and with different contents to assist the decision-making. Current cartographic and geographic information systems have limited capabilities for solving these problems. This paper describes an automatic and comprehensive system that conducts data fusion from all potentially related sources. In this system, a new Semantic Location Model (SemLM) is established to present the semantic concepts and location feature and demonstrate how locations are interrelated. In the SemLM, various types of location descriptors in different application scenarios can be analyzed and understood. Additionally, considering the challenges involved in data-intensive computation and visualization, this paper implements a Place-based Pan-Information System (P2S) as an innovative 4D system that dynamically associates and visualizes place-based information, using public security as the case study.