Authors: Maxim Efremov*, IG RAS, Nikolay Kazantsev, Institute of geography of the Russian Academy of Sciences (IGRAS), Moscow, Russian Federation, Pavel Grishin, Institute of geography of the Russian Academy of Sciences (IGRAS), Moscow, Russian Federation, Fleis Mariya, Institute of geography of the Russian Academy of Sciences (IGRAS), Moscow, Russian Federation, Titov German, Institute of geography of the Russian Academy of Sciences (IGRAS), Moscow, Russian Federation
Topics: Geographic Information Science and Systems, Europe, Medical and Health Geography
Keywords: «bad» spatial data, pandemic, international cooperation, COVID-19
Session Type: Virtual Paper
Start / End Time: 8:00 AM / 9:15 AM
Room: Virtual 11
Presentation File: No File Uploaded
The spread of coronavirus infection (hereinafter COVID-19), which is one of the global challenges of the early 21st century, has once again emphasized the problem of an extremely low level of geographic culture, a culture of working with spatial data in management in many countries of the world, including Russia.
Such global challenges generate a massive burst of “bad” spatial data, so for a long time we do not have reliable high-quality information and knowledge to adapt to new conditions.
The proposed approaches to dealing with “bad” data make it possible to reduce the size of territories of “ignorance”, to identify zones where restrictions on economic and social activity can be weakened and move from continuous restrictions to territorially differentiated ones. This, in turn, can give a significant impetus to the development of previously economically peripheral territories, in which, due to their high degree of security, economic activity can be maintained, while previously economically developed territories are under the pressure of restrictions due to high growth risks. infection.
The approach can be used in the development of geoportals and mobile applications that allow monitoring the situation in the form of dynamic “smart zoning” aimed at ensuring a balance between security requirements and maintaining socio-economic activity based on territorial differentiation.
We have successfully implemented this approach for a number of other «bad» spatial data burst issues. The proposed approaches will help increase the resilience of societies and strengthen international cooperation for possible future pandemics.