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@inproceedings{1394906,
author = {Řezník, Tomáš and Charvát, Karel and Křivánek, Zbyněk and Horáková, Šárka and Charvát, Karel junior and Kepka, Michal and Ježek, Jan},
address = {Washington, United States of America},
booktitle = {Proceedings of the 28th International Cartographic Conference},
howpublished = {elektronická verze "online"},
language = {cze},
location = {Washington, United States of America},
title = {The Cartographical Visualization of Crowdsourcing Data in Precision AgricultureThe Cartographical Visualization of Crowdsourcing Data in Precision Agriculture},
year = {2017}
}
TY - JOUR
ID - 1394906
AU - Řezník, Tomáš - Charvát, Karel - Křivánek, Zbyněk - Horáková, Šárka - Charvát, Karel junior - Kepka, Michal - Ježek, Jan
PY - 2017
TI - The Cartographical Visualization of Crowdsourcing Data in Precision AgricultureThe Cartographical Visualization of Crowdsourcing Data in Precision Agriculture
CY - Washington, United States of America
N2 - Crowdsourcing is the practice of obtaining (geospatial) information from a large number of people, either paid or unpaid. Crowdsourcing is currently being used also in the precision agriculture domain, where one of the most widespread crowdsourcing devices is used, i.e. tractors equipped with navigation system receivers. The geospa-tial data obtained from fleet monitoring in such cases comprise a track of a tractor together with several pieces of attribute data. This paper focuses on attribute data of both an economic nature, e.g. fuel consumption and time of operation, and an ecological nature, e.g. the amount of fertilizer and/or pesticide inserted into the ground in a certain place. Interactive cartographic visualization techniques have been developed according to the needs of the end user with respect to economic data. A demonstration of progressive cartographic anima-tions is provided. In contrast, ecological data are typically visualized as interpolated surfaces. The presented approach of the FOODIE and DataBio tandem projects support all the above mentioned visualizations. As such, it exploits feedback from thousands of users that is presented in the conclusion.
ER -
ŘEZNÍK, Tomáš, Karel CHARVÁT, Zbyněk KŘIVÁNEK, Šárka HORÁKOVÁ, Karel junior CHARVÁT, Michal KEPKA a Jan JEŽEK. The Cartographical Visualization of Crowdsourcing Data in Precision AgricultureThe Cartographical Visualization of Crowdsourcing Data in Precision Agriculture. Online. In \textit{Proceedings of the 28th International Cartographic Conference}. Washington, United States of America, 2017.
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