Open AccessAnalysis and dynamic visualization of logistics flows in the Arctic based on geoservices
Author(s) -
A. V. Vicentiy
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/539/1/012018
Subject(s) - arctic , visualization , russian federation , the arctic , pace , computer science , relevance (law) , operations research , geography , regional science , engineering , geology , data mining , oceanography , geodesy , political science , law
The paper notes the importance of the Arctic and the Arctic zone of the Russian Federation as a promising source of mineral and biological resources necessary to maintain the pace of socio-economic development of modern society. However, for the integrated development of Arctic resources and the creation of a favorable environment for the life of the population in the Far North, it is necessary to solve the problems of logistics and transport accessibility of the Arctic regions. For the successful solution of logistic problems, various factors and features specific to the Arctic territories must be taken into account. In these conditions, multimodal transportation, which requires special attention to the analysis, control and monitoring of routes and delivery vehicles, is of particular relevance. In order to provide information support for solving logistics problems, an approach to creating a web-geoservice for analysis and dynamic visualization of logistics flows is proposed. A feature of the proposed approach is the use of external sources of cartographic information, which can significantly reduce the material and time costs for the design and development of web-geoservice. The paper describes methodological support, as well as stages of design and development of web-geoservice for analysis and dynamic visualization of logistic flows in the Arctic zone of the Russian Federation. As an example of the Arctic region, the Murmansk region, which is part of the Arctic zone of the Russian Federation, was chosen to test the main capabilities of the web-geoservice.