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Большие данные в геоинформационном пространстве для эффективного управления в кризисных ситуациях

Большие данные в геоинформационном пространстве для эффективного управления в кризисных ситуациях

Abstract

Термин «большие данные» уже основательно закрепился в современном цифровом обществе. Мы все больше окружаем себя сетью спутников, сканеров, камер и других фиксирующих устройств, создающих огромные массивы неструктурированных данных. Возникла необходимость теоретического осмысления места и роли «больших данных» при построении единого геоинформационного пространства, в частности при решении задач управления в кризисных ситуациях. Научные исследования проведены на средства гранта Президента РФ для государственной поддержки молодых российских ученых №МК-6528.2013.5.

The term «big data» already thoroughly entrenched in today's digital society. We surround ourselves with more satellite network, scanners, cameras and other fixing devices that produce massive amounts of unstructured data. Became necessary a theoretical understanding of the place and role of «big data» in the construction of an integrated geoinformation environment, in particular for solving crisis management. Research carried for grant of the President of the Russian Federation for state support of young russian scientists number MK-6528.2013.5.

Keywords

ГЕОИНФОРМАЦИОННОЕ ПРОСТРАНСТВО, БОЛЬШИЕ ДАННЫЕ, КРИЗИСНЫЕ СИТУАЦИИ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green