Vyšlo prvé číslo 69. ročníka Geografického časopisu

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Za nákupom ďaleko: rurálne potravinové púšte na Gemeri
Kristína Bilková 1), František Križan 2), Peter Barlík 3), Marcel Horňák 4), Milan Zeman 5), Gabriel Zubrický 6)

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1) Univerzita Komenského v Bratislave, Prírodovedecká fakulta, Katedra regionálnej geografie, ochrany a plánovania krajiny, Mlynská dolina, 842 15 Bratislava. bilkova@fns.uniba.sk
2) Univerzita Komenského v Bratislave,Prírodovedecká fakulta Katedra regionálnej geografie, ochrany a plánovania krajiny, Mlynská dolina, 842 15 Bratislava. krizan@fns.uniba.sk
3) Univerzita Komenského v Bratislave, Prírodovedecká fakulta, Katedra regionálnej geografie, ochrany a plánovania krajiny, Mlynská dolina, 842 15 Bratislava. barlik@fns.uniba.sk
4) Univerzita Komenského v Bratislave, Prírodovedecká fakulta, Katedra humánnej geografie a demogeografie, Mlynská dolina, 842 15 Bratislava. hornak@fns.uniba.sk
5) Sociologický ústav SAV, Klemensova 19, 813 64 Bratislava. milan.zeman@savba.sk
6) Univerzita Komenského v Bratislave, Prírodovedecká fakulta, Katedra regionálnej geografie, ochrany a plánovania krajiny, Mlynská dolina, 842 15 Bratislava. zubriczky@fns.uniba.sk

food deserts, food access, perceptions, Gemer region, Slovakia

Consumers’ access to foodstuffs may be spatially limited, depending on various factors. This issue has been increasingly discussed by academic experts. Most scientific studies have focused on urban environment and urban retailing. Recently, some attention has been paid to rural retailing as well. This paper focuses on rural food deserts. It aims to identify potential food deserts and examine the preferences of consumers living in potential food deserts in the Gemer region. Our analyses point to specific shopping behaviour of residents of these areas. On the other hand, many of them do not perceive this fact and tend to accept poor access to healthy and cheaper foodstuffs as an everyday reality.

Geografický časopis. Volume 69, 2017, No. 1: 3-20.

Selective migration of population subgroups by educational attainment in the urban region of Bratislava
Ladislav Novotný 1), Loránt Pregi 2)

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1) Univerzita Pavla Jozefa Šafárika v Košiciach, Prírodovedecká fakulta, Ústav geografie, Jesenná 5, 040 01 Košice. ladislav.novotny@upjs.sk
2) Univerzita Pavla Jozefa Šafárika v Košiciach, Prírodovedecká fakulta, Ústav geografie, Jesenná 5, 040 01 Košice. lorant.pregi@upjs.sk

selective migration, concentration, decentralization, educational attainment, urban region, Bratislava

This paper aims to assess the interregional and intraregional migration processes of population subgroups by educational attainment in the urban region of Bratislava and to identify the patterns of migration using stages of urban development. The study employs anonymized data on individual migrations in Slovakia for the period 1996 – 2015. The research results confirm disparate migration development trajectories for individual subgroups with the most significant differences between migrants with tertiary and primary educational attainment, however, the roles of individual population subgroups differ considerably at the interregional and intraregional levels. This leads to various development trajectories across the stages of urban development. The research results contribute to filling in the gap in comprehensive research of urban development, particularly in Central and Eastern European countries.

Geografický časopis. Volume 69, 2017, No. 1: 21-39.

Vzdialenosť ako faktor výskumu vnútornej migrácie Slovenska
Arnold Kakaš 1)

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1) Univerzita Komenského v Bratislave, Prírodovedecká fakulta, Katedra humánnej geografie a demografie, Mlynská dolina, Ilkovičova 6, 842 15 Bratislava. kakas@fns.uniba.sk

migration, distance, significance, connection, region, Slovakia

In this paper, we deal with the length of migration flows within Slovakia. The main research goal is to identify how far inhabitants of Slovakia migrate within the country and whether there is a connection between structural characteristics and the distance of migration. If such a connection exists, it should be reflected in the increase or decrease in average migration distance travelled by people who belong to a certain group. The study focuses on the analysis of two years – 1996 and 2013 – and changes which happened between these years. Instead of a classic regional division of Slovak territory, specific length categories (ordinal) based on empirical evidence are used. Also, nonparametric statistical testing is used to verify our hypothesis. The deduced results confirmed some already known characteristics of internal migration within Slovakia and brought some new insights into the discussed topic.

Geografický časopis. Volume 69, 2017, No. 1: 41-60.

GlobeLand30 LULC and Global Forest Change geodata merging for environmental modelling
Dmytro Hlotka 1)

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1) Ukrainian Hydrometeorological Institute of NASU, Nauki Prospekt, 31, 03028 Kyiv, Ukraine. dmy3tka@gmail.com

GlobeLand30, Global Forest Change, geoprocessing model, merging, Desna river sub-basin

Reference land use and land cover (LULC) geodata is an important input parameter for environmental modeling in GIS. GlobeLand30 (GLC30) LULC geodata, released in 2015, has the highest spatial resolution of 30 m globally. Another important tool for Landsat-based global geodata is – Global Forest Change (GFC), which defines the tree cover state of the year 2000, including its density, tree cover loss and gain from the years 2000 to 2012, with a spatial resolution of 25 m. The methodology to produce the GFC geodata, as well as its accuracy to determine the forest class, is superior to the GLC30. In this study, an ArcGIS geoprocessing model is proposed to merge the GLC30 and GFC geodata, based on the Shuttle Radar Topography Mission Global 1 arc second (SRTMGL1) Digital Elevation Model (DEM) pixel grid, in order to control the layers of consistency (cell alignment and spatial resolution). 535 points were randomly distributed within each LULC class in the Desna River sub-basin study area, proportional to the class relative area. Quality assessment by means of Error matrix and Kappa coefficient of the merged geodata shows that overall classification accuracy increased from 70% to 77,8% (Kappa from 0,57 to 0,68) with a 23% increase in the Producer`s accuracy for the forest class. The geoprocessing model with the test data sample are available at https://github.com/dmy3tka/GIScience. The approaches taken in this study could be used to improve quality of the input geodata for distributed environmental and hydrological models, especially when dealing with corresponding geodata from multiple sources.

Geografický časopis. Volume 69, 2017, No. 1: 61-73.

Hodnocení viditelnosti plánovaných výškových budov Prague Eye Towers
Jan Caha 1)

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1) Mendelova Univerzita v Brně, Fakulta regionálního rozvoje a mezinárodních studií, Ústav regionálního rozvoje a veřejné správ, tř. Generála Píky 7, 61300 Brno, Česká republika. jan.caha@mendelu.cz

visibility, viewshed, extended viewshed, lookout points, high-rise building, GIS, Prague

The aim of the article is to assess the visibility of the planned high-rise buildings – Prague Eye Towers in Prague. Commonly used methods either do not provide sufficient information about visibility (viewshed analysis) or the results cannot be spatially evaluated (photomontages and 3D visualizations). However, extended viewsheds and reverse viewsheds can provide appropriate results that can be spatially evaluated to assess the visibility of planned buildings from important lookout places, including the neighbourhood of the building. The study utilised open data provided by © IPR Praha – digital surface model, digital terrain model, relative heights of buildings and the current status of land use. Based on these datasets, two extended viewsheds of planned buildings are determined to analyse the significance of a building over the local horizon including the visible part of the building. The obtained results are used for assessment of visibility of planned buildings and can be also utilised in further urban planning applications. The article shows how the visibility of buildings can be assessed and their impact on a city evaluated.

Geografický časopis. Volume 69, 2017, No. 1: 75-92.