Babenyshev S.V., Ph.D. of Physical and Mathematical Sciences; Boyko G.M., Ph.D. of Pedagogical Sciences; O.S. Malyutin; Materov E.N., Ph.D. of Physical and Mathematical Sciences
FSBEE HE Siberian Fire and Rescue Academy EMERCOM of Russia
The paper discusses the possibilities of the Python and R programming languages in application to geocoding and analysis of geographical data on fires and their consequences. The paper considers: drawing of static and interactive geographical maps of the initial data on fires, a graph of the density of fires, data on the time of arrival of units, fire areas, as well as the construction of transport accessibility zones and optimal routes. The analytical tools used here can be useful in determining the order of attraction of forces and means of units of fire and rescue garrisons, in particular, in the development of plans for attraction and schedules of visits of forces and means of garrisons to extinguish fires. The analysis procedure described in this paper can be used, taking into account the specifics, for almost any locality in the Russian Federation.
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