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@inbook{1775017,
author = {Konečný, Milan and Hladík, Jiří and Bouchal, Jiří and Herman, Lukáš and Řezník, Tomáš},
address = {Neuveden},
booktitle = {COVID-19 Pandemic, Geospatial Information, and Community Resilience: Global Applications and Lessons},
editor = {Rajabifard, Abbas; Paez, Daniel; Foliente, Greg},
keywords = {visual analytics; tracking application; decision support system; interactive map of COVID-19 in Czechia; interactive map of registered volunteers},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Neuveden},
isbn = {978-0-367-77531-5},
pages = {393-398},
publisher = {CRC Press},
title = {Geospatial Intelligence in Dealing with COVID-19 Challenges in Czechia},
url = {https://www.routledge.com/COVID-19-Pandemic-Geospatial-Information-and-Community-Resilience-Global/Rajabifard-Paez-Foliente/p/book/9780367775315},
year = {2021}
}
TY - CHAP
ID - 1775017
AU - Konečný, Milan - Hladík, Jiří - Bouchal, Jiří - Herman, Lukáš - Řezník, Tomáš
PY - 2021
TI - Geospatial Intelligence in Dealing with COVID-19 Challenges in Czechia
VL - 1st
PB - CRC Press
CY - Neuveden
SN - 9780367775315
KW - visual analytics
KW - tracking application
KW - decision support system
KW - interactive map of COVID-19 in Czechia
KW - interactive map of registered volunteers
UR - https://www.routledge.com/COVID-19-Pandemic-Geospatial-Information-and-Community-Resilience-Global/Rajabifard-Paez-Foliente/p/book/9780367775315
N2 - The presented research deals with aspects of geospatial support to the COVID-19 in the Czechia. The first three cases of the disease were confirmed on March 1, 2020. Geospatial intelligence has played an important role in analysing and predicting the spread of the disease, in designing and optimizing measures against it, and in reducing harm. Three categories of applications were identified and described when following the conducted analysis of the content and purpose of COVID-19-related geospatial applications and solutions. The first, the visual analytics of COVID-19-related health statistics follows the concept of multiple coordinated views and dynamic queries. This category of applications uses various official or semi-official sources of geospatial data and their presentation in interactive web maps. The second, different tracking applications or tools for analysis of people’s movement and identification of risky contacts was implemented. In the Czechia, these are for example eRouska mobile application and movement tracking in the Mapy.cz application. The third category represents decision support systems for public administration, emergency services and volunteers. Example of this category is the interactive map of registered volunteers used by coordination centre established by Masaryk University (MUNI) in Brno, Czechia. The advantages, limitations, and possible future directions of the mentioned applications of geospatial intelligence are discussed in the conclusions.
ER -
KONEČNÝ, Milan, Jiří HLADÍK, Jiří BOUCHAL, Lukáš HERMAN and Tomáš ŘEZNÍK. Geospatial Intelligence in Dealing with COVID-19 Challenges in Czechia. In Rajabifard, Abbas; Paez, Daniel; Foliente, Greg. \textit{COVID-19 Pandemic, Geospatial Information, and Community Resilience: Global Applications and Lessons}. Neuveden: CRC Press, 2021, p.~393-398. 1st. ISBN~978-0-367-77531-5.
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