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Long-term tendencies of spatiotemporal differentiation of unemployment in Czechia with emphasis on seasonality
Havej, Petr ; Netrdová, Pavlína (advisor) ; Hasman, Jiří (referee)
This master thesis belongs thematically to the research of long-term trends of spatio-temporal differentiation in the Czech Republic. Within this theme, it focuses on several objectives. The first of them concerns the search for appropriate scale levels and region types for time-space analyzes of unemployment in the Czech Republic and the definition of as many homogeneous regions as possible in terms of the unemployment rate. Subsequently, the work at the appropriate level defined in this way focuses on the next goal, which is to reveal and describe the development of seasonality in unemployment in the Czech Republic. As part of this goal, the effort is to determine the significance of the phenomenon of seasonality in unemployment, its development in space and time, and to define groups of regions that are more or less affected by this phenomenon. One of the partial goals is also to reveal the development of spatial differentiation in unemployment in the last few years. The work uses detailed monthly data on the unemployment rate in the Czech Republic at the municipal level for the years 2002-2021 published by the Ministry of the Interior. The methods used in this work are entirely quantitative in nature, they come from the group of (time) spatial analyses, which include, for example, LISA, as well...
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Spatiotemporal analysis of spreading of influenza epidemic in Czechia
Švábová, Lea ; Netrdová, Pavlína (advisor) ; Šídlo, Luděk (referee)
Influenza is accompanying humans for centuries and for centuries people are dying in hundreds. Every year there is seasonal influenza epidemy, which is caused by common circling influenza viruses in which happened small changes. Every 10-20 years is discovered completely new influenza virus subtype which is created by big genetical changes. Most affected areas are poor states in Asia or in different countries with insufficient hygiene or unavailable medical care, these countries also have huge mortality. Czech Republic wasn't independent for many centuries and describing historical evolution of this disease is very complicated, but we have few data form Spanish influenza time. Influenza and other acute or chronical respiratory are reported, so it is possible to create some demographic or statistical analysis. Unfortunately, in Czech Republic only 50-55 % of all cases are reported. This work is devoted to spatiotemporal analysis of influenza in Czechia and is done through statistical analysis like corelation analysis or time series analysis that are examining spatiotemporal way of the spread of the virus. Goals of this thesis with the help of these methods are to answer questions about questions concerning the spatiotemporal patterns of influenza spread, therefore what the repeatability of...
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