Dynamic Visualization of Sensor Measurements: Context Based
Approach

J 2015

Dynamic Visualization of Sensor Measurements: Context Based Approach

ŠTAMPACH, Radim, Petr KUBÍČEK a Lukáš HERMAN

Základní údaje

Originální název

Dynamic Visualization of Sensor Measurements: Context Based Approach

Autoři

ŠTAMPACH, Radim (203 Česká republika, garant, domácí), Petr KUBÍČEK (203 Česká republika, domácí) a Lukáš HERMAN (203 Česká republika, domácí)

Vydání

Quaestiones Geographicae, Poznaň, Bogucki Wydawnictwo Naukowe, 2015, 0137-477X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10500 1.5. Earth and related environmental sciences

Stát vydavatele

Polsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

on-line verze článku

Kód RIV

RIV/00216224:14310/15:00085331

Organizační jednotka

Přírodovědecká fakulta

DOI

http://dx.doi.org/10.1515/quageo-2015-0020

UT WoS

000369149100009

Klíčová slova anglicky

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

Štítky

AKR

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 13. 3. 2018 10:07, RNDr. Lukáš Herman, Ph.D.

Anotace

V originále

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.

Návaznosti

MUNI/A/1370/2014, interní kód MU

Název: Globální environmentální změny v krajinné sféře Země v čase a prostoru (Akronym: GlobST)

Investor: Masarykova univerzita, Globální environmentální změny v krajinné sféře Země v čase a prostoru, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

ŠTAMPACH, Radim, Petr KUBÍČEK a Lukáš HERMAN. Dynamic Visualization of Sensor Measurements: Context Based Approach. Quaestiones Geographicae. Poznaň: Bogucki Wydawnictwo Naukowe, 2015, roč. 34, č. 3, s. 117-128. ISSN 0137-477X. Dostupné z: https://dx.doi.org/10.1515/quageo-2015-0020.

@article{1321800,
   author = {Štampach, Radim and Kubíček, Petr and Herman, Lukáš},
   article_location = {Poznaň},
   article_number = {3},
   doi = {http://dx.doi.org/10.1515/quageo-2015-0020},
   keywords = {adaptive cartography; visual seeking; interactive map; sensor data; precise farming},
   language = {eng},
   issn = {0137-477X},
   journal = {Quaestiones Geographicae},
   title = {Dynamic Visualization of Sensor Measurements: Context Based Approach},
   url = {http://geoinfo.amu.edu.pl/qg/current/QG343_117-128.pdf},
   volume = {34},
   year = {2015}
}

TY  - JOUR
ID  - 1321800
AU  - Štampach, Radim - Kubíček, Petr - Herman, Lukáš
PY  - 2015
TI  - Dynamic Visualization of Sensor Measurements: Context Based Approach
JF  - Quaestiones Geographicae
VL  - 34
IS  - 3
SP  - 117-128
EP  - 117-128
PB  - Bogucki Wydawnictwo Naukowe
SN  - 0137477X
KW  - adaptive cartography
KW  - visual seeking
KW  - interactive map
KW  - sensor data
KW  - precise farming
UR  - http://geoinfo.amu.edu.pl/qg/current/QG343_117-128.pdf
N2  - 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.
ER  -

ŠTAMPACH, Radim, Petr KUBÍČEK a Lukáš HERMAN. Dynamic Visualization of Sensor Measurements: Context Based Approach. \textit{Quaestiones Geographicae}. Poznaň: Bogucki Wydawnictwo Naukowe, 2015, roč.~34, č.~3, s.~117-128. ISSN~0137-477X. Dostupné z: https://dx.doi.org/10.1515/quageo-2015-0020.

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