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Using spatial and machine learning analyses to assess satisfaction with life in an urban historical downtown area Cover

Using spatial and machine learning analyses to assess satisfaction with life in an urban historical downtown area

Miscellanea Geographica
Volume 29 (2025): Issue 4 (October 2025)
By: Jefferson Revelo and  Pablo Cabrera-Barona  
Open Access
|Sep 2025

Authors

Jefferson Revelo

jefferson.arg@hotmail.com

Latin American Faculty of Social Sciences, FLACSO Ecuador, Quito, Ecuador

Pablo Cabrera-Barona

pfcabrera@flacso.edu.ec

Latin American Faculty of Social Sciences, FLACSO Ecuador, Quito, Ecuador
DOI: https://doi.org/10.2478/mgrsd-2025-0027 | Journal eISSN: 2084-6118 | Journal ISSN: 0867-6046
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Language: English
Page range: 257 - 266
Submitted on: Nov 28, 2024
|
Accepted on: May 20, 2025
|
Published on: Sep 14, 2025
Published by: Faculty of Geography and Regional Studies, University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Satisfaction with life,
spatial autocorrelation,
decision trees,
artificial neural networks,
urban,
historical downtown
Related subjects:
Geosciences,
Geography,
Geosciences, other

© 2025 Jefferson Revelo, Pablo Cabrera-Barona, published by Faculty of Geography and Regional Studies, University of Warsaw
This work is licensed under the Creative Commons Attribution 4.0 License.

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