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

Xinyan Zhu, Tao Hu, Xinyue Ye, Wei Guo, Liang Huang, Hanjiang Xiong, Haojun Ai, Bing She, Qing Xiong, Lian Duan

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)193-213
Number of pages21
JournalGeo-Spatial Information Science
Volume22
Issue number3
DOIs
StatePublished - 2019

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Computers in Earth Sciences

Keywords

  • 4D map
  • Place-based pan-information system (P2S)
  • big data
  • semantic location model
  • ubiquitous information

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