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Modeling population with topographic data
Šimbera, Jan ; Brůha, Lukáš (advisor) ; Hudeček, Tomáš (referee)
Accurate spatial population data are an important requirement in many applications. In this thesis, the problem of disaggregating the spatial distribution of population density and rent costs using a machine learning model is studied. An approach based on freely available ancillary data such as OpenStreetMap and Urban Atlas is proposed and implemented in the form of an automated Python toolbox for ArcGIS. The applications on the urban areas of Prague, Vienna and Ljubljana show promising results, overperforming the competing population disaggregation solutions in spatial resolution and displaying a satisfying degree of transferability. A number of further improvements is suggested. Powered by TCPDF (www.tcpdf.org)
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Differentiation of commercial suburbanization in Plzeň and Olomouc metropolitan areas
Štrba, Šimon ; Koloušek, Petr (advisor) ; Špačková, Petra (referee)
The purpose of this thesis is to investigate the development of commercial suburbanization in Pilsen and Olomouc metropolitan areas between 1990 and 2018. The research of differentiation of commercial suburbanization was based on spatial data analysis, obtained from Corine Land Cover database, data from the Urban Atlas database was added in the time period 2006 - 2012. Change areas were extracted from databases within the areas of interest. Spatial data containing information about the area extent and period of origin, they were subsequently supplemented with the type of functional use (land-use). The comparison of metropolitan areas was based on the results of the analysis. The analysis showed that the main difference within the development of commercial suburbanization in the selected metropolitan areas was in the structure of functional categories. Then, there was a difference in development rate of commercial suburbanization and also in spatial distribution of commercial suburbanization within the metropolitan areas. The structure- based difference could to a certain degree be interpreted by different macro-location within the Czech Republic. There was a considerable influence of transport factor within the formation of a spatial distribution of commercial suburbanization in both MAs. Key...
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Evaluation of area and changes of the agricultural land in Czechia 2006 - 2012
Hofrajtr, Martin ; Štych, Přemysl (advisor) ; Laštovička, Josef (referee)
Evaluation of area and changes of the agricultural land in Czechia 2006 - 2012 Abstract This thesis deals with the evaluation of area and changes of the agricultural land in selected regions in Czechia on the basis of the data from the years of 2006 and 2012, using the available international and national databases of land cover and land use. In the practical part, firstly the compatibility of classification systems of the surveyed databases is compared, then the state and changes of individual classes of agricultural land are analysed on two levels - national and regional - using functions of ArcGIS software. The overall result confirmed the assumption that the proportion of permanent grass cover in respect to agricultural land is increasing at the expense of that of arable land. Certain discrepancies between the results, however, point out different purposes of the surveyed databases and thus differences in their parameters and classification systems. Remote sensing, which enables to determine the real state of agricultural land and its classes, seems to be auspicious. Key words: change detection, agricultural land, CORINE Land Cover, Urban Atlas, land register - LPIS
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Evaluation of the selected data sources of land use/land cover
Míček, Ondřej ; Štych, Přemysl (advisor) ; Chuman, Tomáš (referee)
The topic of this study is to evaluate data sources from the perspective of the information about landscape they provide to their users. The aim is comparison of thematic content of Urban Atlas database and data from Czech cadastre of real estate in Prague metropolitan region between years 2006 and 2012 with focus at meaning of classification systems used by both datasets. The data are processed by evaluation of thematic similarity and statistical tools which quantify similarity between researched data. Results are further verified by using validation data. Important results are visualized by charts, tables and maps. The areas with high degree of dissimilarity were found using chosen methods and their thematic characteristics were further examined as well as their major causes. It was proved that differences between both datasets are significant and they share certain characteristics. It was also proved that cadastral data are to high extent out-of-date. Keywords Urban Atlas, cadastre of real estate, land use, land cover, Prague
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Modeling population with topographic data
Šimbera, Jan ; Brůha, Lukáš (advisor) ; Hudeček, Tomáš (referee)
Accurate spatial population data are an important requirement in many applications. In this thesis, the problem of disaggregating the spatial distribution of population density and rent costs using a machine learning model is studied. An approach based on freely available ancillary data such as OpenStreetMap and Urban Atlas is proposed and implemented in the form of an automated Python toolbox for ArcGIS. The applications on the urban areas of Prague, Vienna and Ljubljana show promising results, overperforming the competing population disaggregation solutions in spatial resolution and displaying a satisfying degree of transferability. A number of further improvements is suggested. Powered by TCPDF (www.tcpdf.org)
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Evaluation of land cover database based on Prague metropole area
Míček, Ondřej ; Štych, Přemysl (advisor) ; Holman, Lukáš (referee)
Evaluation of land cover databases based on Prague metropole area Abstract: The aim of this study was to compare land cover databases Corine a Urban Atlas and assess their informative capability and classification systems. The work is focused on evaluation of land cover changes in Prague metropole area and its surroundings in period 1990 - 2000 a 2000 - 2006. The practical part is focused on land cover changes studied by remote sensing, suburbanization proces and comparison of different classification systems. Analysis of different land cover changes was made using spatial overlay. The study proved, that changes in the area are highly influenced by proces of suburbanization. It was also proved, that use of Corine database to study these changes causes a significant loss of information. Key words: landcover, Corine, Urban Atlas, Prague
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