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

Author:

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

Publisher

Springer International Publishing

Reference30 articles.

1. Abascal Á, Rothwell N, Shonowo A, Thomson DR, Elias P, Elsey H, ..., Kuffer M (2021) “Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: a scoping review

2. Alam S, Bălan L, Comym G, Dada Y, Danov I, Hoang L, Kanchwala R, Klein J, Milne A, Schwarzmann J, Theisen M, Wong S (2021) Kedro (Version 0.17.6). https://github.com/kedro-org/kedro

3. Arimah BC (2010) The face of urban poverty: explaining the prevalence of slums in developing countries (No. 2010/30). WIDER working paper

4. Chen X, Wang F (2016) Integrative spatial data analytics for public health studies of New York state. In: AMIA annual symposium proceedings, vol. 2016. American Medical Informatics Association, p 391

5. CONAPO (2021) Índice de marginación por entidad federativa y municipio 2020: Nota técnico-metodológica. https://www.gob.mx/conapo/documentos/indices-de-marginacion-2020-284372

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