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Quaestiones Geographicae

The Journal of Adam Mickiewicz University

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CiteScore 2016: 0.43

SCImago Journal Rank (SJR) 2015: 0.286
Source Normalized Impact per Paper (SNIP) 2015: 0.722

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2081-6383
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Dynamic Visualization Of Sensor Measurements: Context Based Approach

Radim Stampach
  • Corresponding author
  • Laboratory on Geoinformatics and Cartography, Masaryk University, Brno, Czech Republic
  • Email:
/ Petr Kubicek
  • Laboratory on Geoinformatics and Cartography, Masaryk University, Brno, Czech Republic
/ Lukas Herman
  • Laboratory on Geoinformatics and Cartography, Masaryk University, Brno, Czech Republic
Published Online: 2015-12-30 | DOI: https://doi.org/10.1515/quageo-2015-0020

Abstract

An amount of data measured with sensors is increasing year to year. Every sensor has a location and sensor data are mostly measured for long time period, so visualization of location and regular updating of visualized value is necessary. Various characteristics (e.g. meteorological conditions) can be automatically read at frequent intervals and those readings can be aggregated into the interactive map visualization. This map must be not only legible but also understandable also for readers that are experts in their specialisation, however, not in cartography. This paper presents possibilities of using and implementation of adaptive cartography and visual seeking principles for interactive visualization and analysis of sensor based data measured in real time. Our solution is described on experimental application for precise farming that we developed during research project Agrisensor.

Keywords: adaptive cartography; visual seeking; interactive map; sensor data; precise farming

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About the article

Received: 2014-07-07

Revised: 2015-07-24

Published Online: 2015-12-30

Published in Print: 2015-09-01



Citation Information: Quaestiones Geographicae, ISSN (Online) 2081-6383, DOI: https://doi.org/10.1515/quageo-2015-0020. Export Citation

© 2015 Faculty of Geographical and Geological Sciences, Adam Mickiewicz University. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. (CC BY-NC-ND 3.0)

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