Dynamic Visualization of Sensor Measurements: Context Based
Approach

J 2015

Dynamic Visualization of Sensor Measurements: Context Based Approach

ŠTAMPACH, Radim, Petr KUBÍČEK and Lukáš HERMAN

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

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10500 1.5. Earth and related environmental sciences

Country of publisher

Poland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

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

Abstract

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.

Links

MUNI/A/1370/2014, interní kód MU

Name: Globální environmentální změny v krajinné sféře Země v čase a prostoru (Acronym: GlobST)

Investor: Masaryk University, Category A

Citovat

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.

@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 and Lukáš HERMAN. Dynamic Visualization of Sensor Measurements: Context Based Approach. \textit{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.

Detailed Information on Publication Record