ŠTAMPACH, Radim, Petr KUBÍČEK and Lukáš HERMAN. Dynamic Visualization of Sensor Measurements: Context Based Approach. Quaestiones Geographicae. Poznaň: Bogucki Wydawnictwo Naukowe, 2015, vol. 34, No 3, p. 117-128. ISSN 0137-477X. Available from: https://dx.doi.org/10.1515/quageo-2015-0020.
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Basic information
Original name Dynamic Visualization of Sensor Measurements: Context Based Approach
Authors ŠTAMPACH, Radim (203 Czech Republic, guarantor, belonging to the institution), Petr KUBÍČEK (203 Czech Republic, belonging to the institution) and Lukáš HERMAN (203 Czech Republic, belonging to the institution).
Edition Quaestiones Geographicae, Poznaň, Bogucki Wydawnictwo Naukowe, 2015, 0137-477X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10500 1.5. Earth and related environmental sciences
Country of publisher Poland
Confidentiality degree is not subject to a state or trade secret
WWW on-line verze článku
RIV identification code RIV/00216224:14310/15:00085331
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1515/quageo-2015-0020
UT WoS 000369149100009
Keywords in English adaptive cartography; visual seeking; interactive map; sensor data; precise farming
Tags AKR
Tags International impact, Reviewed
Changed by Changed by: RNDr. Lukáš Herman, Ph.D., učo 222752. Changed: 13/3/2018 10:07.
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.
Links
MUNI/A/1370/2014, interní kód MUName: Globální environmentální změny v krajinné sféře Země v čase a prostoru (Acronym: GlobST)
Investor: Masaryk University, Category A
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