Dynamic Visualization of Sensor Measurements: Context Based Approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F15%3A00085331" target="_blank" >RIV/00216224:14310/15:00085331 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1515/quageo-2015-0020" target="_blank" >http://dx.doi.org/10.1515/quageo-2015-0020</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1515/quageo-2015-0020" target="_blank" >10.1515/quageo-2015-0020</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Dynamic Visualization of Sensor Measurements: Context Based Approach

Popis výsledku v původním jazyce

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 realtime. Our solution is described on experimental application for precise farming that we developed during research project Agrisensor.

Název v anglickém jazyce

Dynamic Visualization of Sensor Measurements: Context Based Approach

Popis výsledku anglicky

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 realtime. Our solution is described on experimental application for precise farming that we developed during research project Agrisensor.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DE - Zemský magnetismus, geodesie, geografie

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Quaestiones Geographicae

ISSN

0137-477X

e-ISSN

—

Svazek periodika

34

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

12

Strana od-do

117-128

Kód UT WoS článku

000369149100009

EID výsledku v databázi Scopus

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