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Erschienen in:
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2024 | OriginalPaper | Buchkapitel

6. Integration of Datasets Toward Slum Identification: Local Implementation of the IDEAMAPS Framework

verfasst von : Irving Gibran Cabrera Zamora, Olivia Jimena Juárez Carrillo, Andrea Ramírez Santiago, Alejandra Figueroa Martínez, Elio Atenógenes Villaseñor García, Abel Alejandro Coronado Iruegas, Ranyart Rodrigo Suarez Ponce de León, Edgar Oswaldo Diaz, Paloma Merodio Gómez

Erschienen in: Urban Inequalities from Space

Verlag: Springer International Publishing

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Abstract

We present a pilot implementation to identify and define slums spatially, using the integrated deprived area mapping system (IDEAMAPS)’ deprivation framework. This pilot allows the integration of diverse datasets toward using a data lake architecture developed by INEGI and a grid-based approach to build an ecosystem of interoperable information with an interactive user interface. The pipeline also offers spatial scalability, transferability, and flexibility to work with different data sources, while the grid-based design can facilitate the exploration of interactions among variables. The proposed methodology was tested on a hypothetical case of use in Mexico City, integrating more than 150 variables related to slum conditions in the IDEAMAPS’ framework. Additionally, we created a visualization tool to explore the integrated data.

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Vorheriges Kapitel Urban and Peri-Urban? Investigation of the Location of Informal Settlements Using Two Databases
Nächstes Kapitel Putting the Invisible on the Map: Low-Cost Earth Observation for Mapping and Characterizing Deprived Urban Areas (Slums)
Anhänge
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Literatur
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Metadaten
Titel
Integration of Datasets Toward Slum Identification: Local Implementation of the IDEAMAPS Framework
verfasst von
Irving Gibran Cabrera Zamora
Olivia Jimena Juárez Carrillo
Andrea Ramírez Santiago
Alejandra Figueroa Martínez
Elio Atenógenes Villaseñor García
Abel Alejandro Coronado Iruegas
Ranyart Rodrigo Suarez Ponce de León
Edgar Oswaldo Diaz
Paloma Merodio Gómez
Copyright-Jahr
2024
Buch
Urban Inequalities from Space

Print ISBN: 978-3-031-49182-5

Electronic ISBN: 978-3-031-49183-2

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-3-031-49183-2_6

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