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Details about Jorge E. Patiño

Workplace:RISE Group (Research in Spatial Economics), Universidad EAFIT (EAFIT University), (more information at EDIRC)

Access statistics for papers by Jorge E. Patiño.

Last updated 2023-03-16. Update your information in the RePEc Author Service.

Short-id: ppa914


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Working Papers

2019

  1. Institutional Fragmentation and Metropolitan Coordination in Latin American Cities: What Consequences for Productivity and Growth ?
    Policy Research Working Paper Series, The World Bank Downloads View citations (1)
  2. Spatio-Temporal Dynamics of Urban Growth in Latin American Cities: An Analysis Using Nighttime Lights Imagery
    Policy Research Working Paper Series, The World Bank Downloads View citations (26)
  3. Urban Form and Productivity: What Is the Shape of Latin American Cities ?
    Policy Research Working Paper Series, The World Bank Downloads View citations (2)

2016

  1. Exploring the Potential of Machine Learning for Automatic Slum Identification from VHE Imagery
    Research Department working papers, CAF Development Bank Of Latinamerica Downloads View citations (1)

2013

  1. Análisis de la distribución espacial de la reducción en la demanda de agua potable como efecto de políticas de ahorro en su consumo en el Área Metropolitana del Valle de Aburrá
    Documentos de Trabajo de Valor Público, Universidad EAFIT Downloads

Journal Articles

2022

  1. Urban form and productivity: What shapes are Latin-American cities?
    Environment and Planning B, 2022, 49, (1), 131-150 Downloads View citations (4)

2021

  1. Institutional fragmentation and metropolitan coordination in Latin American cities: Are there links with city productivity?
    Regional Science Policy & Practice, 2021, 13, (4), 1096-1128 Downloads

2017

  1. Emilio Chuvieco, Fundamentals of satellite remote sensing: An environmental approach
    Environment and Planning B, 2017, 44, (6), 1171-1173 Downloads
  2. Remote sensing-based measurement of Living Environment Deprivation: Improving classical approaches with machine learning
    PLOS ONE, 2017, 12, (5), 1-25 Downloads View citations (6)
 
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