License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GISCIENCE.2018.36
URN: urn:nbn:de:0030-drops-93647
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9364/
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Jiao, Donglai ; Sun, Jintao

A New Map Symbol Design Method for Real-Time Visualization of Geo-Sensor Data (Short Paper)

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LIPIcs-GISCIENCE-2018-36.pdf (0.5 MB)

Abstract

Maps are an excellent way to present data with spatial components. For the large-scale geo-sensors being utilized in recent years, the map-based management and visualization of geo-senor data have become ubiquitous. Without a doubt, managing and visualizing geo-sensor data on maps will have vastly more future applications. However, current maps typically do not support real-time communication in the Internet of Things (IoT), and it is difficult to implement real-time visualization of sensor data on a map. Map symbols are the language of maps. In this paper, we describe a new map symbol design method for geo-sensor data acquisition and visualization on maps. We refer to the sensor data visual method in supervisory control and data acquisition system (SCADA) and apply it to the design process of map symbols. Based on the traditional vector map symbol, the mapping relationship between the sensor data and the graphic element is defined in the map symbol design process. When the map symbol is rendered in the map, the map symbol is integrated into the map layer. The communication module in the map that communicates with the sensor device receives real-time sensor data and triggers a refresh of the map layer according to the mapping profile. All the methods and processes shown herein have been verified in GeoTools.

BibTeX - Entry

@InProceedings{jiao_et_al:LIPIcs:2018:9364,
  author =	{Donglai Jiao and Jintao Sun},
  title =	{{A New Map Symbol Design Method for Real-Time Visualization of Geo-Sensor Data (Short Paper)}},
  booktitle =	{10th International Conference on Geographic Information  Science (GIScience 2018)},
  pages =	{36:1--36:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Stephan Winter and Amy Griffin and Monika Sester},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9364},
  URN =		{urn:nbn:de:0030-drops-93647},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.36},
  annote =	{Keywords: Sensor, real-time visualization, Internet of Things, map symbols}
}

Keywords: Sensor, real-time visualization, Internet of Things, map symbols
Collection: 10th International Conference on Geographic Information Science (GIScience 2018)
Issue Date: 2018
Date of publication: 02.08.2018

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