An evaluation of urbanization processes in suburban zones with the use of land cover data and the fuzzy set theory
DOI:
https://doi.org/10.2478/bog-2021-0032Keywords
land management, land use conflicts, components of the space, spatial analysis, GIS toolsAbstract
The aim of this article was to evaluate urbanization processes in space with the use of the CORINE Land Cover (CLC) databases. The study was conducted in the rural municipality of Dywity, located in the direct vicinity of the city of Olsztyn. Basic concepts and methods for evaluating urbanization 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 analyzing land management activities. The search for new methods for evaluating spatial management and spatial processes plays a particularly important role in rapidly urbanizing areas. The study explored the applicability of GIS as a data source and a tool for evaluating urbanization processes in studies that rely on modern methods such as the fuzzy set theory. The intensity and dynamics of urbanization processes were evaluated based on changes in land cover with the use of CLC databases.
References
Ahmed, B., Ahmed, R., & Zhu, X. (2013). Evaluation of model validation techniques in land cover dynamics. ISPRS International Journal of Geo-Information: 2(3): 577-597. DOI: https://doi.org/10.3390/ijgi2030577.
Albino, V., Berardi, U., & Dangelico, R.M. (2015). Smart cities: Definitions, dimensions, performance, and initiatives. Journal of Urban Technology, 22(1): 3-21. DOI: https://doi.org/10.1080/10630732.2014.942092.
Bajwa, I., AHMAD, I., Engineering, Z. K.-J. of P., 2000, undefined, Zha, Y., Gao, J., Ni, S., Almas, A. S., Rahim, C. A., Butt, M. A. M. J. J., Shah, T. I., Kumagai, K., Li, H., Liu, Q., Shirazi, S. A., Kazmi, S. J. H. S., De Jong, S. M., Van der Meer, F. D., He, C., & Baig, S. (2015). Assessing the Impact of Urban Expansion on Land Surface Temperature in Lahore Using Remote Sensing Techniques. Egyptian Journal of Remote Sensing and Space Science, 4(4). DOI: https://doi.org/10.1002/9780470979563.
Barros, J.L., Tavares, A.O., Monteiro, M., & Santos, P. P. (2018). Peri-urbanization and rurbanization in Leiria city: The importance of a planning framework. Sustainability, 10(7): 2501. DOI: https://doi.org/10.3390/su10072501.
Biłozor, A. (2004). Zastosowanie logiki rozmytej do identyfikacji i lokalizacji strefy przejściowej miasta i wsi (Doctoral dissertation, Rozprawa doktorska). UWM in Olsztyn.
Biłozor, A., Cieślak, I., & Czyża, S. (2020). An Analysis of Urbanisation Dynamics with the Use of the Fuzzy Set Theory—A Case Study of the City of Olsztyn. Remote Sensing, 12(11): 1784. DOI: https://doi.org/10.3390/rs12111784.
Biłozor, A., Czyża, S., & Bajerowski, T. (2019). Identification and Location of a Transitional Zone between an Urban and a Rural Area Using Fuzzy Set Theory, CLC, and HRL Data. Sustainability, 11(24): 7014. DOI: https://doi.org/10.3390/su11247014.
Bielecka, E., Jenerowicz, A., Pokonieczny, K., & Borkowska, S. (2020). Land cover changes and flows in the Polish Baltic coastal zone: A qualitative and quantitative approach. Remote Sensing, 12(13): 2088.
Brown, D.G., Walker, R., Manson, S., & Seto, K. (2012). Modeling Land Use and Land Cover Change. In: Gutman G. et al. (eds) Land Change Science. Remote Sensing and Digital Image Processing. Springer. DOI: https://doi.org/10.1007/978-1-4020-2562-4_23.
Bruegmann, R. (2015). Urban Sprawl. In International Encyclopedia of the Social & Behavioral Sciences: Second Edition, 934-939. DOI: https://doi.org/10.1016/B978-0-08-097086-8.74061-X.
Butt, A., Shabbir, R., Ahmad, S.S., & Aziz, N. (2015). Land use change mapping and analysis using Remote Sensing and GIS: A case study of Simly watershed, Islamabad, Pakistan. Egyptian Journal of Remote Sensing and Space Science, 18(2): 251-259. DOI: https://doi.org/10.1016/j.ejrs.2015.07.003.
Büttner, G., Feranec, J., Jaffrain, G., Mari, L., Maucha, G., & Soukup, T. (2004). The CORINE land cover 2000 project. EARSeL EProceedings.
Cieślak I. (red). (2012)., Współczesna waloryzacja przestrzeni zurbanizowanej. Olsztyn: Wydawnictwo UWM.
Cieślak, I., Czyża, S., Szuniewicz, K., & Ogrodniczak, M. (2019). Assessment of Residential Areas of City on the Example of Olsztyn. IOP Conference Series: Materials Science and Engineering, 471(10). https://doi.org/10.1088/1757-899X/471/10/102001.
Cieślak, I., & Szuniewicz, K. (2015). The quality of pedestrian space in the city: A case study of Olsztyn. Bulletin of Geography. Socio-economic Series, 30(30): 31-41. DOI: https://doi.org/10.1515/bog-2015-0033.
Cieślak, I., Szuniewicz, K., & Czyża, S. (2018). Determination of Intensity and Directions of Environmental Changes of o Space Based on Coverage Area Analysis. Proceedings - 2018 Baltic Geodetic Congress, BGC-Geomatics 2018. DOI: https://doi.org/10.1109/BGC-Geomatics.2018.00034.
Cieślak, I., Szuniewicz, K., & Czyża, S. (2016). Analysis of the Variation of the Areas under Urbanization Pressure Using Entropy Index. Procedia Engineering, 161: 2001-2005 DOI: https://doi.org/10.1016/j.proeng.2016.08.793.
Cieślak, I., Szuniewicz, K., Pawlewicz, K., & Czyża, S. (2017). Land Use Changes Monitoring with CORINE Land Cover Data. IOP Conference Series: Materials Science and Engineering, 245(5). DOI: https://doi.org/10.1088/1757-899X/245/5/052049.
Cieślak, I., Biłozor, A., & Szuniewicz, K. (2020). The use of the CORINE Land Cover (CLC) database for analyzing urban sprawl. Remote Sensing, 12(2): 282. DOI: https://doi.org/10.3390/rs12020282.
Cieślak, I., Biłozor, A., Źróbek-Sokolnik, A., & Zagroba, M. (2020). The Use of Geographic Databases for Analyzing Changes in Land Cover—A Case Study of the Region of Warmia and Mazury in Poland. ISPRS International Journal of Geo-Information, 9(6): 358. DOI: https://doi.org/https://doi.org/10.3390/ijgi9060358.
GIOS. CORINE Land Cover-CLC.. Retrieved June 20, 2019, from clc.gios.gov.pl
Dai, F.C., Lee, C.F., & Zhang, X.H. (2001). GIS-based geo-environmental evaluation for urban land-use planning: A case study. Engineering Geology, 61(4): 257-571. DOI: https://doi.org/10.1016/S0013-7952(01)00028-X.
Dijkstra, L., Florczyk, A., Freire, S., Pesaresi, M., & Kemper, T. (2018). Applying the Degree of Urbanisation To the Globe: A New Harmonised Definition Reveals a Different Picture of Global Urbanisation. 16th Conference of IAOS. Available at: https://www.oecd.org/iaos2018/programme/IAOS-OECD2018_Lewis-et-al.pdf.
Dijkstra, L., & Poelman, H. (2014). A harmonised definition of cities and rural areas: the new degree of urbanisation. Regional and Urban Policy. Available at: https://ec.europa.eu/regional_policy/sources/docgener/work/2014_01_new_urban.pdf.
Espinosa, M.O., Polop, F., Rotela, C.H., Abril, M., & Scavuzzo, C.M. (2016). Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme. Geospatial Health, 11: 471. DOI: https://doi.org/10.4081/gh.2016.471.
Hochstenbach, C., & Musterd, S. (2018). Gentrification and the suburbanization of poverty: changing urban geographies through boom and bust periods. Urban Geography, 39(1): 26-53. DOI: https://doi.org/10.1080/02723638.2016.1276718
Mikhaylov, A. Mikhaylova, A. Alsynbaev, K. Bryksin, V. Hvaley D. (2021). Remote-sensing technology in mapping socio-econom-ic divergence of Europe . Bulletin of Geography. Socio-economic Series, 52(52): 69-84. DOI: http://doi.org/10.2478/bog-2021-0014.
Montgomery, M.R., Stren, R., Cohen, B., & Reed, H.E. (2013). Cities transformed: Demographic change and its implications in the developing world. London. Routledge. DOI: https://doi.org/10.4324/9781315065700.
Pan, Z.,Hu,Y., & Wang, G. (2019). Detection of short-term urban land use changes by combining SAR time series images and spectral angle mapping. Frontiers of Earth Science, 13(3): 495–509. DOI: https://doi.org/10.1007/s11707-018-0744-6.
Parsons, A.W., Rota, C.T., Forrester, T., Baker-Whatton, M.C., McShea, W.J., Schuttler, S.G., Millspaugh, J.J., & Kays, R. (2019). Urbanization focuses carnivore activity in remaining natural habitats, increasing species interactions. Journal of Applied Ecology, 56(8): 1894-1904. DOI: https://doi.org/10.1111/1365-2664.13385.
Plan Rozwoju Lokalnego Gminy Dywity. (2004).
Rietkerk, M., & van de Koppel, J. (2008). Regular pattern formation in real ecosystems. Trends in Ecology and Evolution, 23(3): 169-175. DOI: https://doi.org/10.1016/j.tree.2007.10.013.
Rimal, B., Zhang, L., Keshtkar, H., Haack, B.N., Rijal, S., & Zhang, P. (2018). Land use/land cover dynamics and modeling of urban land expansion by the integration of cellular automata and markov chain. ISPRS International Journal of Geo-Information, 7(4): 154. DOI: https://doi.org/10.3390/ijgi7040154.
Romano, B., Zullo, F., Fiorini, L., Marucci, A., & Ciabò, S. (2017). Land transformation of Italy due to half a century of urbanization. Land Use Policy, 67: 387-400. https://doi.org/10.1016/j.landusepol.2017.06.006.
Streule, M., Karaman, O., Sawyer, L., & Schmid, C. (2020). POPULAR URBANIZATION: Conceptualizing Urbanization Processes Beyond Informality. International Journal of Urban and Regional Research, 44(4): 652-672. DOI: https://doi.org/10.1111/1468-2427.12872.
Sun, S., & Ongsomwang, O. (2020). Multitemporal Land Use and Land Cover Classification from Time-Series Landsat Datasets Using Harmonic Analysis with a Minimum Spectral Distance Algorithm. ISPRS International Journal of Geo-Information, 9(2): 67. DOI: https://doi.org/10.3390/ijgi9020067.
United Nations. (2019). World urbanization prospects - population division. In United Nations.
Współczesne problemy oceny i waloryzacji przestrzeni. (2012). In Współczesna waloryzacja przestrzeni zurbanizowanej / pod red. Iwony Cieślak.
Zadeh, L. (1965). Fuzzy Sets. Information and Control, 8(3): 338–353.
Zadeh, L.A. (2011). Fuzzy Set Theory and Probability Theory: What is the Relationship? International Encyclopedia of Statistical Science. Berlin: Springer. DOI: https://doi.org/10.1007/978-3-642-04898-2_614.
Zimmermann, H.J. (2010). Fuzzy set theory. Wiley Interdisciplinary Reviews: Computational Statistics, 2(3): 259-386. DOI: https://doi.org/10.1002/wics.82
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Bulletin of Geography. Socio-economic Series
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Title, logo and layout of journal Bulletin of Geography. Socio-economic Series are reserved trademarks of Bulletin of Geography. Socio-economic Series.Stats
Number of views and downloads: 462
Number of citations: 0
