A data-based approach to identifying regional typologies and exemplars across the urban–rural gradient in Europe using affinity propagation-Reference-Cited by-同舟云学术

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A data-based approach to identifying regional typologies and exemplars across the urban–rural gradient in Europe using affinity propagation

Published:2021-02-08 Issue:12 Volume:55 Page:1939-1954
ISSN:0034-3404
Container-title:Regional Studies
language:en
Short-container-title:Regional Studies

Author:

Fiaschetti Maurizio¹^ORCID,Graziano Marcello²^ORCID,Heumann Benjamin W.³

Affiliation:

1. University of Nottingham Business School, Nottingham, UK.

2. Management & International Business Department, Southern Connecticut State University, New Haven, CT, USA.

3. Department of Geography & Environmental Studies and Institute for Great Lakes Research, Central Michigan University, Mt. Pleasant, MI, USA.

Publisher

Informa UK Limited

Subject

General Social Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/00343404.2021.1871598

Reference46 articles.

1. Technological interdependence and regional growth in Europe: Proximity and synergy in knowledge spillovers

2. Marine Social Science for the Peopled Seas

3. APCluster: an R package for affinity propagation clustering

4. Stakeholder analysis for marine conservation planning using public participation GIS

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1. Population grid and location quotient of land cover to capture the urban-rural nature of labour market areas in Italy;GeoJournal;2024-01-18

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3. Unsupervised machine learning in urban studies: A systematic review of applications;Cities;2022-10

4. Delimiting Rural Areas: Evidence from the Application of Different Methods Elaborated by Italian Scholars;Land;2022-09-28

5. A Data-Driven Algorithm to Redefine the U.S. Rural Landscape: Affinity Propagation as a Mixed-Data/Mixed-Method Tool;Economic Development Quarterly;2022-06-03

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