2021
VYUŽITÍ PERSONALIZOVANÝCH DAT GOOGLE LOCATION PRO ANALÝZU ZMĚN CHOVÁNÍ V PRŮBĚHU PANDEMIE COVID-19
BURIAN, Jaroslav, Vít PÁSZTO, Karel MACKŮ a Lukáš PAVLÍKZákladní údaje
Originální název
VYUŽITÍ PERSONALIZOVANÝCH DAT GOOGLE LOCATION PRO ANALÝZU ZMĚN CHOVÁNÍ V PRŮBĚHU PANDEMIE COVID-19
Název anglicky
USE OF GOOGLE LOCATION PERSONALIZED DATA FOR ANALYSIS OF CHANGES IN BEHAVIOR DURING COVID-19 PANDEMIC
Autoři
BURIAN, Jaroslav (203 Česká republika, domácí), Vít PÁSZTO (203 Česká republika, domácí), Karel MACKŮ (203 Česká republika) a Lukáš PAVLÍK (276 Německo, domácí)
Vydání
EMI journal, 2021, 1804-1299
Další údaje
Jazyk
čeština
Typ výsledku
Článek v odborném periodiku
Obor
50702 Urban studies
Stát vydavatele
Česká republika
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Organizační jednotka
Moravská vysoká škola Olomouc
Klíčová slova anglicky
Google Location; mikrostudie; geodata; GIS; COVID-19
Štítky
Změněno: 28. 4. 2022 09:18, Ing. Michaela Nováková
V originále
The paper focuses on a detailed micro-study describing changes in the behaviour of the authors of this article before and during the COVID-19 pandemic based on data from Google Location. Although the study evaluates data on only three individuals and may not be sufficiently representative to draw generalizing conclusions, it is a unique example of possible data processing that is not normally evaluated at such a level of accuracy. The article evaluates changes in the behaviour of authors before and after the introduction of anti-epidemic measures, but the main purpose is to point out the possibilities of analytical processing of such data while being aware of the issue of personal data protection. We recognize that by visualizing our real motion data, we partially disclose our privacy. Nevertheless, we find it very valuable to show how detailed data Google collects about much of the population and how such data can be used effectively.
Anglicky
The paper focuses on a detailed micro-study describing changes in the behaviour of the authors of this article before and during the COVID-19 pandemic based on data from Google Location. Although the study evaluates data on only three individuals and may not be sufficiently representative to draw generalizing conclusions, it is a unique example of possible data processing that is not normally evaluated at such a level of accuracy. The article evaluates changes in the behaviour of authors before and after the introduction of anti-epidemic measures, but the main purpose is to point out the possibilities of analytical processing of such data while being aware of the issue of personal data protection. We recognize that by visualizing our real motion data, we partially disclose our privacy. Nevertheless, we find it very valuable to show how detailed data Google collects about much of the population and how such data can be used effectively.