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Applying Chorems in the Cartographic Presentation of Barriers to Socio-Economic Development in Poland

Elżbieta Bielecka
Elżbieta Bielecka
, 
Anna Markowska
Anna Markowska
 et 
Dariusz Dukaczewski
Dariusz Dukaczewski
   | 16 août 2024
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Publié en ligne: 16 août 2024
Pages: -
Reçu: 06 mars 2024
DOI: https://doi.org/10.14746/quageo-2024-0030
© 2024 Elżbieta Bielecka et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1.

Chorem of France (Laurini et al. 2007).
Chorem of France (Laurini et al. 2007).

Fig. 2.

Chorem of Brazil (Laurini et al. 2006).
Chorem of Brazil (Laurini et al. 2006).

Fig. 3.

‘Blue banana’ chorem of European Union (Reimer 2010).
‘Blue banana’ chorem of European Union (Reimer 2010).

Fig. 4.

Migration in Tunisia (Cherni 2015).
Migration in Tunisia (Cherni 2015).

Fig. 5.

Brunet choremes titled ‘In Poland, that is to say nowhere’ (Brunet 1986b).
Brunet choremes titled ‘In Poland, that is to say nowhere’ (Brunet 1986b).

Fig. 6.

Development of regions in Poland.
Development of regions in Poland.

Data sources and indicators used.

Data sources Indicator
Delimitation of problem areas in Poland (Śleszyński et al. 2017) Problem areas in Poland
Delimitation of the Functional Urban Areas around Poland’s voivodship capital cities (Churski et al. 2023) External zones to Functional Urban Areas around the voivodship cities
Spatial differentiation of the Poland population standard of living (Majka 2015) Hellwig’s development indicator
Demographic Atlas of Poland (GUS 2017) Population density, urbanisation rate, net migration for permanent residence, share of population accounted for by people of post-productive age (60/65+ years), unemployment
Statistical Atlas of Poland (GUS 2018) Satisfaction with Life Index, Gross Domestic Product (GDP) per capita, border traffic-rate of impact, economy – entrepreneurship, forest area, pollutions
Incomes and living conditions of the population of Poland– report from the European Union-SILC survey of 2022 (GUS 2023) The at-risk-of-poverty rate after social transfers by Nomenclature of Territorial Units for Statistics 2 (NUTS 2) in 2022
Land cover changes and flows in the Polish Baltic coastal zone: A qualitative and quantitative approach (Bielecka et al. 2020) Net changes in forest, agriculture and artificial areas

Function used (based on Bertin 1967, Brunet 1993, Ducruet 2006).

Chorems elementary functions Graphical signs Comments References to Bertin visual variables
Specialised Indication of the cities’ functions ( capital, port cities/groups of port cities, other important cities) Shape, colour, size, value
Gradient Zones of influence: the magnitude of the impact is illustrated by the brightness (impact zones of major cities) Value (lightness), size, colour, shape
Closure Closed boundary (country borders) and aperture (e.g. sea) Colour, shape, size, orientation, grain, value
Axis and its derivations (tropism) Line of limitations and obstacles (rivers) Colour, shape, size, orientation, value
Surface Area representing the chosen phenomenon (industrial area, urbanisation lag, transformational shock, internal periphery) Colour, value, size, grain
Trend surface Areas in which the phenomenon is observed to be developing in a particular direction (direction of area exclusion with: urbanisation lag, transformational shock, internal periphery, direction of area exclusion) Colour, shape, size, orientation, grain, value
Dissymmetry Centre of growth versus repulsiveness area Size, shape, colour, value
Gravitation Centre-periphery model Size, shape, colour, orientation, value
eISSN:
2081-6383
Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Geosciences, Geography
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