Spatial estimation of chronic respiratory diseases based on machine learning procedures—an approach using remote sensing data and environmental variables in quito, Ecuador

Cesar I. Alvarez-Mendoza, Ana Teodoro, Alberto Freitas, Joao Fonseca

Research output: Contribution to journalArticlepeer-review

1 Scopus citations
Original languageEnglish
Article number102273
JournalApplied Geography
Volume123
DOIs
StatePublished - Oct 2020

Bibliographical note

Funding Information:
The study is part of a PhD thesis in surveying engineering at the University of Porto , Portugal, supported by the Salesian Polytechnic University, Ecuador. This work was supervised at the University of Porto by Prof. Ana Cláudia Teodoro.

Publisher Copyright:
© 2020 Elsevier Ltd

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Machine learning
  • Quito
  • Remote sensing
  • Respiratory disease
  • Spatial models

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