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The Max-P-Regions Problem

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  • Juan C. Duque
  • Luc Anselin
  • Sergio J. Rey

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  • Juan C. Duque & Luc Anselin & Sergio J. Rey, 2012. "The Max-P-Regions Problem," Journal of Regional Science, Wiley Blackwell, vol. 52(3), pages 397-419, August.
    • Handle: RePEc:bla:jregsc:v:52:y:2012:i:3:p:397-419
    DOI: j.1467-9787.2011.00743.x
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    Citations

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    Cited by:

    1. Carlos Mendez & Erick Gonzales, 2021. "Human Capital Constraints, Spatial Dependence, and Regionalization in Bolivia: A Spatial Clustering Approach," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 44(87), pages 115-145.
    2. António Bento Caleiro & António Guerreiro & Gertrudes Saúde Guerreiro, 2016. "On the spatial convergence of (un)employment in Portugal," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 6(1), pages 1089-1089.
    3. Sebastián Moreno & Jordi Pereira & Wilfredo Yushimito, 2020. "A hybrid K-means and integer programming method for commercial territory design: a case study in meat distribution," Annals of Operations Research, Springer, vol. 286(1), pages 87-117, March.
    4. Martin Fleischmann & Alessandra Feliciotti & Ombretta Romice & Sergio Porta, 2022. "Methodological foundation of a numerical taxonomy of urban form," Environment and Planning B, , vol. 49(4), pages 1283-1299, May.
    5. Alejandro Puerta & Andr'es Ram'irez-Hassan, 2020. "Inferring hidden potentials in analytical regions: uncovering crime suspect communities in Medell\'in," Papers 2009.05360, arXiv.org.
    6. Yanık, Seda & Sürer, Özge & Öztayşi, Başar, 2016. "Designing sustainable energy regions using genetic algorithms and location-allocation approach," Energy, Elsevier, vol. 97(C), pages 161-172.
    7. Saedinia, R. & Vahdani, Behnam & Etebari, F. & Afshar Nadjafi, B., 2019. "Robust gasoline closed loop supply chain design with redistricting, service sharing and intra-district service transfer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 123(C), pages 121-141.
    8. repec:asg:wpaper:1049 is not listed on IDEAS
    9. Gehman, Andrew & Wei, William W.S., 2020. "Optimal spatial aggregation of space–time models and applications," Computational Statistics & Data Analysis, Elsevier, vol. 145(C).
    10. Rui Fragoso & Conceição Rego & Vladimir Bushenkov, 2016. "Clustering of Territorial Areas: A Multi-Criteria Districting Problem," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(2), pages 179-198, December.
    11. Daniel Arribas-Bel & Jorge E Patino & Juan C Duque, 2017. "Remote sensing-based measurement of Living Environment Deprivation: Improving classical approaches with machine learning," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-25, May.
    12. Levi J Wolf & Elijah Knaap & Sergio Rey, 2021. "Geosilhouettes: Geographical measures of cluster fit," Environment and Planning B, , vol. 48(3), pages 521-539, March.
    13. Juan C. Duque & Xinyue Ye & David C. Folch, 2015. "spMorph: An exploratory space-time analysis tool for describing processes of spatial redistribution," Papers in Regional Science, Wiley Blackwell, vol. 94(3), pages 629-651, August.
    14. John R. Birge & Ozan Candogan & Yiding Feng, 2022. "Controlling Epidemic Spread: Reducing Economic Losses with Targeted Closures," Management Science, INFORMS, vol. 68(5), pages 3175-3195, May.
    15. Sarchil Qader & Veronique Lefebvre & Andrew Tatem & Utz Pape & Kristen Himelein & Amy Ninneman & Linus Bengtsson & Tomas Bird, 2021. "Semi-automatic mapping of pre-census enumeration areas and population sampling frames," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-14, December.
    16. Juan C. Duque & Alejandro Betancourt & Freddy Marin, 2013. "An algorithmic approach for simulating realistic irregular lattices," Documentos de Trabajo CIEF 10937, Universidad EAFIT.
    17. Maria da Conceição Rego & Rui Fragoso & Vladimir Bushenkov, 2014. "Clustering of Territorial Areas: A Multi-Criteria Districting Problem," ERSA conference papers ersa14p218, European Regional Science Association.
    18. Reyna, Janet L. & Chester, Mikhail V. & Rey, Sergio J., 2016. "Defining geographical boundaries with social and technical variables to improve urban energy assessments," Energy, Elsevier, vol. 112(C), pages 742-754.
    19. R. Church & J. C. Duque & D. E. Restrepo, 2020. "The p-Innovation ecosystems model," Papers 2008.05885, arXiv.org.
    20. Jonathan R. Bradley & Christopher K. Wikle & Scott H. Holan, 2017. "Regionalization of multiscale spatial processes by using a criterion for spatial aggregation error," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(3), pages 815-832, June.
    21. Martínez-Gordón, R. & Morales-España, G. & Sijm, J. & Faaij, A.P.C., 2021. "A review of the role of spatial resolution in energy systems modelling: Lessons learned and applicability to the North Sea region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    22. repec:asg:wpaper:1028 is not listed on IDEAS
    23. Dongyoung Kim & Sungwon Jung & Yongwook Jeong, 2021. "Theft Prediction Model Based on Spatial Clustering to Reflect Spatial Characteristics of Adjacent Lands," Sustainability, MDPI, vol. 13(14), pages 1-14, July.
    24. Han, Jialin & Hu, Yaoguang & Mao, Mingsong & Wan, Shuping, 2020. "A multi-objective districting problem applied to agricultural machinery maintenance service network," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1120-1130.
    25. Hada Melissa Saenz Vela, 2022. "Explorando la relacion entre contexto socioeconomico e incidencia delictiva, Mexico 2020," Sobre México. Revista de Economía, Sobre México. Temas en economía, vol. 3(5), pages 94-127.

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