LBS

Analyses of urban spaces have often stressed the importance of both the density and diversity of the people they attract. However, the diversity of people is a challenging concept to operationalize within the context of urban spaces, which is why many evaluations of urban space have relied primarily on density-based measures.

The global COVID-19 outbreak has deeply affected everyone’s daily life and constrained human mobility behaviors by the preventive …

Traditional approaches to human mobility analysis in Geography often rely on census or survey data that is resource-intensive to …

Traditional approaches to human mobility analysis in Geography often rely on census or survey data that is resource-intensive to collect and often has a limited spatio-temporal scope. The advent of new technologies (e.

Identifying meaningful locations, such as home or work, from human mobility data has become an increasingly common prerequisite for geographic research. Although location-based services (LBS) and other mobile technology have rapidly grown in recent years, it can be challenging to infer meaningful places from such data, which – compared to conventional datasets – can be devoid of context.

Identifying meaningful locations, such as home or work, from human mobility data has become an increasingly common prerequisite for …

This conference presentation discusses an ensemble approach for meaningful location identification from geotagged social media content through a developed R package.