Using a fuzzy inference system to delimit rural and urban municipalities in the Czech republic in 2010

Abstract

Due to the suburbanisation process, it is becoming more difficult to properly define rural and urban areas in the Czech Republic. This delimitation problem has been intensively studied in Europe, including the Czech Republic, for decades, but only so-called 'crisp' rules have been set for the categorisation of urban and rural. This is no longer satisfactory because of substantial population movements. Our research focuses on applying fuzzy set theory to the delimitation of rural and urban areas and on the subsequent advanced cartographic visualisation. We used the principles of fuzzy regulation, or fuzzy inference systems, on socio-economic data to show the transitional character of municipalities. The generated Main map is at scale of 1:500,000, whereas secondary maps are at scale of 1:2,500,000. Map visualisation of municipalities in the Czech Republic provides a very unique combination of geographical information science, cartography and modern geo-computational methods. Information perception via a map is an adequate way to analyse geographic information, and the problem of delimiting rural and urban areas can be suitably visualised using these methods.

Contribution to the discussion on typology of the settlements of Serbia

“…njihovog diferenciranja u odnosu na ruralna i/ili neki oblik tzv. prelaznih, korišćenjem različitih indikatora i njihovih kombinacija (Cloke, 1977;Kostrowicki, 1989;Harrington & O'Donoghue, 1998;Ballas et al, 2003;Gallego, 2008;Pászto et al, 2015;Radovanović, 1965;Ćirić, 1979;Milićević, 1994;Tošić, 1996;Grčić, 1999;Tošić, 2009Tošić, , 2012Gajić, 2015Gajić, , 2017Gajić et al, 2018). Različite metodološke koncepte za izdvajanje i definisanje urbanih, odnosno ruralnih područja ponudili su OECD (Brezzi, Dijkstra & Ruiz, 2011), Eurostat i druge međunarodne organizacije.…”

Calculating the Wasserstein Metric-Based Boltzmann Entropy of a Landscape Mosaic

“…Raster data is widely used in diverse domains such as cartography [1][2][3], remote sensing [4,5], computer graphics [6], geography [7,8], and landscape ecology [9,10]. The content of information contained in raster data is of use in many applications [11].…”

Fuzzy Techniques for Artificial Snow Cover Optimization in the Ski Areas. Case Study: Obârșia Lotrului (Southern Carpathians, Romania)

“…The interest in the topic addressed in this study concerns the issues regarding winter sports in Romania, as most of ski areas are not recording over 1500 m optimum altitude. Even if there are 92 ski areas in Romania, only eight of these are situated between 1500 to 1800 m [1].…”

“…The Fuzzy analysis is successfully used in several geographic fields, particularly in the ones with impact on anthropic elements, but scientific papers using the Fuzzy analysis for establishing the sustainability of the ski area have not been identified in specialized literature so far. Significant analyses in the fields of urban-rural [1,2], concerning the environmental planning [3,4], The Fuzzy Cognitive Map related to the functional transformation of the urban space, the transformations of the European landscape [5,6], the ecological benefits [7], and the assessment of regional functions [8] were identified instead.…”