Methods to assess spatio-temporal changes of slum populations-Reference-Cited by-同舟云学术

Methods to assess spatio-temporal changes of slum populations

Published:2023-12 Issue: Volume:143 Page:104582
ISSN:0264-2751
Container-title:Cities
language:en
Short-container-title:Cities

Author:

Breuer Julius H.P.^ORCID,Friesen John^ORCID

Publisher

Elsevier BV

Subject

Tourism, Leisure and Hospitality Management,Urban Studies,Sociology and Political Science,Development

Reference41 articles.

1. “Domains of Deprivation Framework” for Mapping Slums, Informal Settlements, and Other Deprived Areas in LMICs to Improve Urban Planning and Policy: A Scoping Review;Abascal,2021

2. Census of Slum Areas and Floating Population 2014;Bangladesh Bureau of Statistics,2014

3. Random forests;Breiman;Machine Learning,2001

4. The ignored Billion: Underestimation of Slum Dwellers in Cities of the Global South;Breuer,2023

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1. The unseen population: Do we underestimate slum dwellers in cities of the Global South?;Habitat International;2024-06

2. Building a resources-modulable approach as appropriate strategy to reduce and rehabilitate spontaneous housing area (SHA) in developing countries cities: the case of Mokolo in Yaoundé, Cameroon city;Journal of Decision Systems;2024-05-13

3. Combining Local Knowledge with Object-Based Machine Learning Techniques for Extracting Informal Settlements from Very High-Resolution Satellite Data;Earth Systems and Environment;2024-04-10

4. The Spatiotemporal Dynamics of Morphological Slums in Mumbai, India;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024