Special Issue "Geospatial Approaches for Understanding the Social, Economic and Environmental Impacts of COVID-19"
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 38476
Special Issue Editors
Interests: agent-based modelling; machine learning; route choice; urban analytics; traffic simulation
Special Issues, Collections and Topics in MDPI journals
Interests: persistent organic pollutants; environmental causes of human disease; air pollution; diabetes; cardiovascular disease
Special Issues, Collections and Topics in MDPI journals
Interests: individual-based modelling; urban analytics; retail geography
Interests: spatial analysis; visualization; semantics and pragmatics; e-science; geocomputation; epidemiology
Interests: environmental health; human mobility; healthy cities; social justice; GIScience
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The COVID-19 pandemic has been the most serious threat to global public health in over 100 years, subsequently resulting in the implementation of severe restrictions on social behaviour, movement, and economic activity. These policies, while dealing with the immediate public health crisis, have consequences that impact widely across society, affecting systems that typically operate with relative stability (housing, transport, health, environment, consumer spending, etc.). It is important that, as we move through the crisis and onto the next stage of recovery, we understand how the social, economic and environmental implications have varied and continue to vary over geographic space.
In this Special Issue, we would like to collate some of the finest examples of the application of advanced geospatial methods towards understanding the impacts of COVID-19. These impacts should relate to the social, economic or environmental impact of COVID-19, including the subsequent imposition of restrictive policy, the knock-on impacts across social systems generally studied in isolation as well as its variation over space and time.
We invite papers that address these topics from a broad spectrum of data sources (mobile phone data, social media data, remote sensing, etc.) and geospatial methods, including machine learning, big data analytics, space-time modelling and simulation, environmental modelling, and data visualisation. In particular, we would be keen to see examples of where the crisis and its particularities have resulted in the development of novel methodologies and collaborations across diverse disciplines.
Prof. Ed Manley
Assoc. Prof. Eric Delmelle
Prof. Mark Birkin
Prof. Mark Gahegan
Prof. Mei-Po Kwan
Guest Editors
Keywords
- Social disruption
- Policy impact
- Spatial complexity
- Economic disruption
- Spatial heterogeneity
- Geospatial methods
- Environmental modelling
- Spatial modelling
- Agent-based modelling
- Geovisualisation