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The Classification of Rural Areas in the European Context: An Exploration of a Typology Using Neural Network Applications

Author

Listed:
  • John Blunden
  • W. T. R. Pryce
  • Peter Dreyer

Abstract

BLUNDEN J. R., PRYCE W. T. R. and DREYER P. (1998) The classification of rural areas in the European context: an exploration of a typology using neural network applications, Reg. Studies 32 , 149-160. The application of neural nets for the classification of rural areas throughout the European Union is demonstrated. The methodology is discussed in the context of a generic rural areas typology, but in its original form it was devised to serve the needs of a rural development programme, and customized to take account of the use of telematics as a change agent. Recent studies of rural area classification are reviewed before discussing the 'training' of the neural nets, using data from a sample of representative areas in Denmark, Italy, Spain and the UK. The methodology is then applied to Montgomeryshire and part of rural Hampshire - areas representing a wide range of contrasting rural conditions. The final results are then critically appraised with attention given to ways in which the approach might be further refined. It is suggested that the use of neural nets offers interesting avenues for future exploration in other research arenas - especially in social and cultural geography BLUNDEN J. R., PRYCE W. T. R. et DREYER P. (1998) Le classement des zones rurales sur le plan europeen: une etude d'une typologie a partir des applications de reseaux neuronaux, Reg. Studies 32 , 149-160. L'application des reseaux neuronaux pour le classement des zones rurales a travers l'Union europeenne se voit demontrer. On discute de la methodologie dans le contexte d'une typologie des zones rurales generique, mais dans ses debuts elle a eteconcue pour repondre aux besoins d'un plan de developpement rural et personnalisee afin de tenir compte de l'utilisation de la telematique en tant que catalyseur. On fait la critique des etudes recentes au sujet du classement des zones rurales avant de discuter de la 'formation' des reseaux neuronaux, utilisant des donnees provenant d'un echantillon des zones representatives au Danemark, en Italie, en Espagne et au RoyaumeUni. Il s'ensuit une application de la methodologie dans le Montgomeryshire et une partie du Hampshire rural - des zones qui comportent une gamme tres large de conditions rurales contrastees. On fait la critique des resultats, pretant attention aux manieres dont la facon pourrait etre davantage mise au point. On laisse supposer que l'utilisation des reseaux neuronaux offre des possibilites interessantes a etudier a l'avenir dans d'autres domaines de la recherche - surtout dans la geographie sociale et culturelle BLUNDEN J. R., PRYCE W. T. R. und DREYER P.(1998) Die Klassifizierung landlicher Gebiete im europaischen Zusammenhang: die Untersuchung einer Typologie unter Zuhilfenahme von Neuralnetzanwendung, Reg. Studies 32 , 149-160. Es wird die Anwendung neuraler Netze zur Klassifikation landlicher Gebiete im Gesamtbereich der Europaischen Union vorgefuhrt. Die Methodik wird im Zusammenhang mit einer generischen Typologie landlicher Gebiete besprochen, obschon sie ursprunglich zur Befriedigung des Bedarfs eines landlichen Entwicklungsprogramms entworfen worden war, und abgewandelt wurde, um der Anwendung von Telematik als treibender Kraft bei Veranderungen gerecht zu werden. Neuere Veroffentlichungen von Untersuchungen zur Klassifikation landlicher Gebiete werden besprochen, bevor die ''Ausbildung'' neuraler Netze mit Hilfe von Daten einer Stichprobe representativer Gebiete in Danemark, Italien, Spanien und dem Vereinigten Konigreich diskutiert werden. Die Methodik wird sodann auf Montgomeryshire und Teile des landlichen Hampshire angewandt - Gebiete, die eine breite Palette kontrastierender landlicher Verhaltnisse aufweisen. Die Endergebnisse werden schliesslich kritisch beurteilt, wobei die Aufmerksamkeit sich auf Art und Weise moglicher weiterer Verfeinerung des Ansatzes richtet. Es wird darauf hingewiesen, dass die Benutzung neuraler Netze der Forschung auf anderen Gebieten, vorallem der Sozial-und Kulturgeographie, interessante Wege eroffnet.

Suggested Citation

  • John Blunden & W. T. R. Pryce & Peter Dreyer, 1998. "The Classification of Rural Areas in the European Context: An Exploration of a Typology Using Neural Network Applications," Regional Studies, Taylor & Francis Journals, vol. 32(2), pages 149-160.
  • Handle: RePEc:taf:regstd:v:32:y:1998:i:2:p:149-160
    DOI: 10.1080/00343409850123035
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    References listed on IDEAS

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    1. A. J. Errington, 1990. "Rural Employment In England: Some Data Sources And Their Use," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(1), pages 47-61, January.
    2. Hudson, Heather E. & Parker, Edwin B., 1990. "Information gaps in rural America : Telecommunications policies for rural development," Telecommunications Policy, Elsevier, vol. 14(3), pages 193-205, June.
    3. Hansen, Suella & Cleevely, David & Wadsworth, Simon & Bailey, Hilary & Bakewell, Oliver, 1990. "Telecommunications in rural Europe : Economic implications," Telecommunications Policy, Elsevier, vol. 14(3), pages 207-222, June.
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    1. Peter Nijkamp & Tuzin Baycan Levent & Aliye Ahu Gulumser, 2006. "Turkey's Rurality: A Comparative Analysis At the EU Level," ERSA conference papers ersa06p641, European Regional Science Association.
    2. Yogi Vidyattama & Robert Tanton & Binod Nepal, 2013. "The Effect of Transport Costs on Housing-related Financial Stress in Australia," Urban Studies, Urban Studies Journal Limited, vol. 50(9), pages 1779-1795, July.
    3. Alasia, Alessandro, 2004. "Mapping the Socio-economic Diversity of Rural Canada: A Multivariate Analysis," Agriculture and Rural Working Paper Series 28048, Statistics Canada.
    4. G. Tappeiner & H. W. Holub & U. Tappeiner & J. Aschenwald, 2002. "The Classification of Rural Areas in the European Context: Some Remarks on the Article of J. R. Blunden, W. T. R. Pryce and P. Dreyer, Regional Studies 32(2)," Regional Studies, Taylor & Francis Journals, vol. 36(2), pages 157-160.
    5. Longjiao Wen & Zhenzhen Liu & Zhifeng Gao & Saeid Khanjari, 2022. "Evolutionary Path and Mechanism of Village Revitalization: A Case Study of Yuejin Village, Jiangsu, China," Sustainability, MDPI, vol. 14(13), pages 1-20, July.
    6. Aleksandra Gajić & Nikola Krunić & Branko Protić, 2021. "Classification of Rural Areas in Serbia: Framework and Implications for Spatial Planning," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    7. Yaojin Zhou & Yao Shen & Xuexi Yang & Zhifang Wang & Liyan Xu, 2021. "Where to Revitalize, and How? A Rural Typology Zoning for China," Land, MDPI, vol. 10(12), pages 1-21, December.
    8. Hua Qin & Courtney G. Flint, 2017. "Changing Community Variations in Perceptions and Activeness in Response to the Spruce Bark Beetle Outbreak in Alaska," Sustainability, MDPI, vol. 9(1), pages 1-23, January.

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