An evaluation of urbanisation processes in suburban zones using land-cover data and fuzzy set theory

Abstract The aim of this article was to evaluate urbanisation processes in space using the CORINE Land Cover (CLC) databases. The study was conducted in the rural municipality of Dywity in the direct vicinity of the city of Olsztyn. Basic concepts and methods for evaluating urbanisation processes were determined based on a review of the literature. The article addresses issues related to spatial management and GIS as a data source and a tool for analysing land management activities. The search for new methods for evaluating spatial management and spatial processes plays a particularly important role in rapidly urbanising areas. The study explored the applicability of GIS as a data source and a tool for evaluating urbanisation processes in studies that rely on modern methods such as fuzzy set theory. The intensity and dynamics of urbanisation processes were evaluated based on changes in land cover with the use of CLC databases.

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Identification and Location of a Transitional Zone between an Urban and a Rural Area Using Fuzzy Set Theory, CLC, and HRL Data

Sustainability ◽

10.3390/su11247014 ◽

2019 ◽

Vol 11 (24) ◽

pp. 7014 ◽

Cited By ~ 4

Author(s):

Andrzej Biłozor ◽

Szymon Czyża ◽

Tomasz Bajerowski

Keyword(s):

Land Use ◽

Land Cover ◽

Rural Area ◽

Set Theory ◽

Fuzzy Set ◽

Fuzzy Set Theory ◽

Transitional Zone ◽

City Centre ◽

The Impact ◽

The City

Changes in land use, which accompany the development of towns, generate a transitional zone on the border between areas of urban and rural use, which—due to its complex (unspecified, fuzzy) land use—cannot be identified either as a rural or an urban area. In order to prevent the unplanned development, it should go according to plan, in line with the spatial order principles, making a coherent whole, taking into account all functional, socio-economic, cultural, as well as aesthetic factors and requirements. This paper describes studies and analyses of the fuzzy set theory applicability in studies of land use in areas around towns. The main aim of the study was to present the methodology, which employs fuzzy logic to identify and locate a transitional zone between rural and urban areas. This study dealt with the transitional zone at the junction of the urban and rural area and its parameters, which affect the type of land use. The attributes of the transitional zone were defined based on an analysis of current land use methods in areas under direct urbanisation pressure. The study was conducted in the city of Olsztyn (Poland) and on its outskirts, directly exposed to the impact of the developing city, with an area of 202.4 km2, within an 8-km radius of the city centre. The study determined the impact of individual forms of land use on the development of urban or rural use. The degree of each type of use—urban or rural—allowed for developing a fuzzy town and country model, identifying the urban investment border and its spatial dispersion, as well as identifying and locating the transitional zone between urban and rural areas. Moreover, land cover models based on the Corine land cover (CLC) data as well as high-resolution layers (HRL) impervious and canopy data were developed. The borders of urban investment determined on the basis of the fuzzy set theory assumptions, CLC, and HRL data were also identified and verified.

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Querying probabilistic land cover data using fuzzy set theory

International Journal of Geographical Information Science ◽

10.1080/13658810050024287 ◽

2000 ◽

Vol 14 (4) ◽

pp. 359-372 ◽

Cited By ~ 21

Author(s):

S. De Bruin

Keyword(s):

Land Cover ◽

Set Theory ◽

Fuzzy Set ◽

Fuzzy Set Theory ◽

Land Cover Data

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A classificatory approach integrating fuzzy set theory and permutation techniques for land cover analysis: a case study on a degrading area of the Rift Valley (Ethiopia)

Community Ecology ◽

10.1556/comec.10.2009.1.7 ◽

2009 ◽

Vol 10 (1) ◽

pp. 53-64 ◽

Cited By ~ 15

Author(s):

E. Feoli ◽

L. Gallizia-Vuerich ◽

P. Ganis ◽

Zerihun Woldu

Keyword(s):

Land Cover ◽

Set Theory ◽

Fuzzy Set ◽

Fuzzy Set Theory ◽

Rift Valley

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Landscape changes of Prague outskirts from 1990 to 2012

Horticultural Science ◽

10.17221/226/2015-hortsci ◽

2017 ◽

Vol 44 (No. 3) ◽

pp. 156-161

Author(s):

Tomáš Veith ◽

Matouš Jebavý

Keyword(s):

Land Cover ◽

Urban Area ◽

Arable Land ◽

Landscape Changes ◽

Urban Fabric ◽

Corine Land Cover ◽

Land Cover Data ◽

Most Significant Change ◽

Significant Change ◽

The City

This paper follows up the landscape changes of Prague outskirts from 1990 to 2012 using the CORINE land cover data. It quantifies these changes by observing the acreage decrease and increase of individual types of land cover. The results confirm the frequently emerging trend in Europe, namely the increase of the urban area at the expense of arable land. Another significant change is the increase of pastures in the areas farther from the city. These changes are further analysed to find regularities relating to the relief, to the distance from the city and to the transport and settlement infrastructure. On the bases of the analyses there are defined the types of changes. The most significant change is a decrease of arable land at the expense of discontinuous urban fabric and pastures. The results show that there were changes made to the land cover on an area of 17,429 ha which is equivalent to 7.3% of the evaluated area.

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Introducing fuzzy set theory to evaluate risk of misclassification of land cover maps to land mapping applications: Testing on coastal watersheds

Ocean & Coastal Management ◽

10.1016/j.ocecoaman.2019.104903 ◽

2020 ◽

Vol 184 ◽

pp. 104903

Author(s):

Zara Teixeira ◽

Saulo Roberto de Oliveira Vital ◽

Ana Lúcia Vendel ◽

Juan Diego Lourenço de Mendonça ◽

Joana Patrício

Keyword(s):

Land Cover ◽

Set Theory ◽

Fuzzy Set ◽

Fuzzy Set Theory ◽

Coastal Watersheds ◽

Land Cover Maps ◽

Risk Of Misclassification

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Mapping Spatial Accuracy and Estimating Landscape Indicators from Thematic Land-Cover Maps Using Fuzzy Set Theory

Remote Sensing and GIS Accuracy Assessment ◽

10.1201/9780203497586.ch13 ◽

2004 ◽

pp. 173-188

Author(s):

Liem Tran ◽

S Taylor Jarnagin ◽

C Gregory Knight ◽

Latha Baskaran

Keyword(s):

Land Cover ◽

Set Theory ◽

Fuzzy Set ◽

Fuzzy Set Theory ◽

Spatial Accuracy ◽

Landscape Indicators ◽

Land Cover Maps

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Analysis of Anthropic Pressure Indices in the Metropolitan Area of Braşov, Processed/Highlighted by Means of GIS

Annals of Valahia University of Targoviste Geographical Series ◽

10.1515/avutgs-2017-0014 ◽

2017 ◽

Vol 17 (2) ◽

pp. 152-159

Author(s):

Unucok Atilla Alexandru

Keyword(s):

Land Cover ◽

Metropolitan Area ◽

Human Pressure ◽

Urban Centers ◽

Corine Land Cover ◽

Gis Applications ◽

Land Cover Data ◽

Different Types ◽

The City ◽

Anthropic Pressure

AbstractMetropolitan areas represent large urban centers, made up of a metropolis and adjacent areas of influence. In general, one or several cities are polarizing centers which inspire a name to the metropolitan area as the most important component of the city. The human pressure may be analyzed using anthropic pressure indices. They are calculated according to the relation between the surfaces with different types of occupation and the number of population overlapping such occupied areas. The data used in calculations may be found in official statistics and in international environmental monitoring programs. Such program is Copernicus which provides the Corine Land Cover data relating to use of land in Europe. To calculate and analyze anthropic pressure indices one may use GIS applications which process the Corine Land Cover data and create maps that expose changes occurred at visual level.

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