Housing inequalities: The space-time geography of housing policies

Changes in policy over the last thirty years, particularly within advanced economies, have allowed for increased financialization, deregulation and globalisation of housing. What differentiates real-estate from other financial markets is that it possesses a salient socio-spatial geography. Housing inequalities are often framed as an outcome...

Comparison of cloud-to-cloud distance calculation methods for change detection in spatio-temporal point clouds

The advantages of using point clouds for change detection analysis include comprehensive spatial and temporal representation, as well as high precision and accuracy in the calculations. These benefits make point clouds a powerful data type for spatio-temporal analysis. Nevertheless, most current change detection methods have been specifically...

Assessing the evolution of educational accessibility with self-avoiding random walk: insights from Helsinki

Rapid urbanization has posed challenges to accessibility to critical services that require in-depth analysis. Complex networks theory has been used to evaluate the evolution of network topologies or the overall accessibility of transportation systems. However, topological metrics to explain the temporal changes in accessibility levels do not...

What has Athens to do with Jerusalem?: the potential of spatial-temporal analysis methods to interpret early Christian literature

The early Christian apologist Tertullian (ca. 160 - ca. 230 CE) queries in his De<br/>praescriptione haereticorum: “What indeed has Athens to do with Jerusalem? What concord is there between the Academy and the Church? What between heretics and Christians?” As the question raised by Tertullian is about the relation between different disciplines...

Spatial-temporal potential exposure risk analytics and urban sustainability impacts related to COVID-19 mitigation: A perspective from car mobility behaviour

Coronavirus disease-2019 (COVID-19) poses a significant threat to the population and urban sustainability worldwide. The surge mitigation is complicated and associates many factors, including the pandemic status, policy, socioeconomics and resident behaviours. Modelling and analytics with spatial-temporal big urban data are required to assist...