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Dynamic Visualization Of Sensor Measurements: Context Based Approach

Author

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  • Stampach Radim
  • Kubicek Petr
  • Herman Lukas

    (Laboratory on Geoinformatics and Cartography, Masaryk University, Brno, Czech Republic)

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.

Suggested Citation

  • Stampach Radim & Kubicek Petr & Herman Lukas, 2015. "Dynamic Visualization Of Sensor Measurements: Context Based Approach," Quaestiones Geographicae, Sciendo, vol. 34(3), pages 117-128, September.
    • Handle: RePEc:vrs:quageo:v:34:y:2015:i:3:p:117-128:n:1
    DOI: 10.1515/quageo-2015-0020
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    Cited by:

    1. Jaroslav Burian & Lenka Zajíčková & Igor Ivan & Karel Macků, 2018. "Attitudes and Motivation to Use Public or Individual Transport: A Case Study of Two Middle-Sized Cities," Social Sciences, MDPI, vol. 7(6), pages 1-25, May.

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