The NetMob2024 Dataset: Population Density and OD Matrices from Four LMIC Countries

• URL: http://arxiv.org/abs/2410.00453v2
• Date: Wed, 2 Oct 2024 18:18:36 GMT
• Title: The NetMob2024 Dataset: Population Density and OD Matrices from Four LMIC Countries
• Authors: Wenlan Zhang, Miguel Nunez del Prado, Vincent Gauthier, Sveta Milusheva,
• Abstract summary: The NetMob24 dataset offers a unique opportunity for researchers from a range of academic fields to access comprehensive data sets spanning four countries over the course of two years ( 2019 and 2020) This dataset comprises privacy-preserving data sets from mobile application (app) data collected from users who have voluntarily consented to anonymous data collection for research purposes. It is our hope that this reference dataset will foster the production of new research methods and the aggregated of research outcomes.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The NetMob24 dataset offers a unique opportunity for researchers from a range of academic fields to access comprehensive spatiotemporal data sets spanning four countries (India, Mexico, Indonesia, and Colombia) over the course of two years (2019 and 2020). This dataset, developed in collaboration with Cuebiq (Also referred to as Spectus), comprises privacy-preserving aggregated data sets derived from mobile application (app) data collected from users who have voluntarily consented to anonymous data collection for research purposes. It is our hope that this reference dataset will foster the production of new research methods and the reproducibility of research outcomes.

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