Uncovering migration systems through spatio-temporal tensor co-clustering.

ABSTRACT: A central problem in the study of human mobility is that of migration systems. Typically, migration systems are defined as a set of relatively stable movements of people between two or more locations over time. While these emergent systems are expected to vary over time, they ideally contain a stable underlying structure that could be discovered empirically. There have been some notable attempts to formally or informally define migration systems. However, they have been limited by being hard to operationalize and defining migration systems in ways that ignore origin/destination aspects and fail to account for migration dynamics over time. In this work, we propose to employ spatio-temporal tensor co-clustering-that stems from signal processing and machine learning theory-as a novel migratio

SUBMITTER: Almquist ZW 

PROVIDER: S-EPMC11538304 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature