Abstract
Modern approaches to work with big data on urban processes are discussed in the paper, including Data-Driven City and Geoinformation systems (GIS). Analysis of GIS allowed to select their types according to the scope of application and the concept of analytical problems solved by the user. A new approach to support the urban processes management based on geodata analysis is proposed in this study. The concept of the system being developed is based on the idea of combining the functions of GIS and decision support system on the basis of an integrated database. The integration process is based on the ETL process. Typical infrastructure facilities, their characteristics, and geo-referencing become the basis of the geo-analytical system. The method of infographic presentation on an interactive map of data of urban infrastructure typical facilities monitoring at different stages of complex systems research is proposed. The architecture of the created information and analytical platform described. The work of platform prototype considered on an example of information support of processes related to the road repair works in the city.
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References
Data-driven cities. From concept to applied solutions. http://www.pwc.ru/en/government-and-public-sector/assets/ddc_eng.pdf
Cartographic Design Process: Artistic Interpretation With the Geodatabase. http://www.esri.com/library/whitepapers/pdfs/cartographic-design.pdf
Geoinformation system of St. Petersburg. https://gu.spb.ru/188545/mfcservice/
The geoportal of UGRA. https://maps.crru.ru/smaps/cmViewer.php
The town-planning atlas the city of Tomsk. https://map.admtomsk.ru/main/map_all.html#!system=tomsk_all&bank=1&layers=moLayer_scen,streetLayer_scen&page=home&base=osm
Zoning Maps of the District of Columbia. https://maps.dcoz.dc.gov
Open Data Portal for the City of Detroit. https://data.detroitmi.gov/Property-Parcels/Current-Master-Plan-Future-General-Land-Use/89q2-aduf
Our city. http://gorod.mos.ru/?show=about
The information system of remote monitoring of the Federal Forestry Agency. https://nffc.aviales.ru/main_pages/index.shtml
The Arctic GIS. http://arctic.rekod.ru/
Grand Public Geoportal Luxembourg. http://map.geoportail.lu
The project Space images-fires. http://fires.kosmosnimki.ru/
Geo-information system of industrial parks, science parks and clusters of the Russian Federation. https://www.gisip.ru/#!ru/
Epidemiological atlas. http://epid-atlas.nniiem.ru/
Los Angeles Times. http://maps.latimes.com/neighborhoods/
Liverpool City Council. http://liverpool.gov.uk/council/key-statistics-and-data/ward-profiles/ward-map/
CensusViewer. http://censusviewer.com/free-maps-and-data-links/
The Centre for Cities. http://www.centreforcities.org/data-tool/
Golubev, A., Chechetkin, I., Parygin, D., Sokolov, A., Shcherbakov, M.: Geospatial data generation and preprocessing tools for urban computing system development. In: 5th International Young Scientist Conference on Computational Science, pp. 217–226. Elsevier BV, Krakow (2016)
REST – architecture. https://html-templates.info/blog/znakomtes-arhitektura-REST
Sokolov, A., Tyukov, A., Sadovnikova, N., Zhuk, S., Khrzhanovskaya, O., Brebels, A.: Automatic information retrieval and preprocessing for energy management. In: Kravets, A., Shcherbakov, M., Kultsova, M., Shabalina, O. (eds.) Creativity in Intelligent Technologies and Data Science. CCIS, vol. 535, pp. 462–473. Springer, Cham (2015). doi:10.1007/978-3-319-23766-4_37
Finogeev, A.G., Parygin, D.S., Finogeev, A.A.: The convergence computing model for big sensor data mining and knowledge discovery. Hum.-Cent. Comput. Inf. Sci. 7, Article no. 11 (2017). https://hcis-journal.springeropen.com/articles/10.1186/s13673-017-0092-7
Korobkin, D., Fomenkov, S., Kolesnikov, S., Golovanchikov, A.: Technical function discovery in patent databases for generating innovative solutions. In: International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016, and Theory and Practice in Modern Computing 2016, pp. 241–245. IADIS International Association for Development of the Information Society, Madeira (2016)
Korobkin, D., Fomenkov, S., Kravets, A., Golovanchikov, A.: Patent data analysis system for information extraction tasks. In: 13th International Conference on Applied Computing, pp. 215–219. IADIS International Association for Development of the Information Society, Mannheim (2016)
Text mining. https://sites.google.com/site/upravlenieznaniami/tehnologii-upravlenia-znaniami/text-mining-web-mining/text-mining
Active citizen. https://ag.mos.ru/
The statistical data. http://statlab.kubsu.ru/node/4
Open data portal of the Government of Moscow. https://data.mos.ru/opendata
Cloud-based message queuing and async task processing. http://www.iron.io/
Simple and hassle free background tasks. http://dolater.io/
Parygin, D., Sadovnikova, N., Kalinkina, M., Potapova, T., Finogeev, A.: Visualization of data about events in the urban environment for the decision support of the city services actions coordination. In: 5th International Conference on System Modeling & Advancement in Research Trends, pp. 283–290. CCSIT TMU, Moradabad (2016)
Ustugova, S., Parygin, D., Sadovnikova, N., Finogeev, A., Kizim, A.: Monitoring of social reactions to support decision making on issues of urban territory management. In: 5th International Young Scientist Conference on Computational Science, pp. 243–252. Elsevier BV, Krakow (2016)
Acknowledgements
The reported study was funded by RFBR according to the research projects No. 16-07-00353_a, No. 16-07-00388_a.
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Ustugova, S., Parygin, D., Sadovnikova, N., Yadav, V., Prikhodkova, I. (2017). Geoanalytical System for Support of Urban Processes Management Tasks. In: Kravets, A., Shcherbakov, M., Kultsova, M., Groumpos, P. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2017. Communications in Computer and Information Science, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-65551-2_31
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