Main Article Content

Abstract

The objects of the research are tools that support the description and analytical processing of environmental data requests. These tools are used for environmental monitoring. Analytical processing of environmental data is necessary for this monitoring by the persons concerned. Here, a star schema is used to describe the data. Analytical data processing tools are required for analysis and research of environmental data. The results of analytical processing of environmental data are used to speed up decision-making. This article also describes the structure of the analytical data processing tool. Therefore, one of the problem points is how to describe the data. For this purpose, an environmental data relay scheme is defined, and the data description is implemented in multidimensional cubes. Due to the growth of data volume, data processing is carried out using multi-dimensional visualization methods. In addition, a visual user interface has been created for analytically processing queries based on scale data. The result of this research is to find a method for describing environmental data. At the end of the research, a hypercube was obtained, with the help of which it was possible to structure environmental data and carry out analytical processing of them. To this end, environmental data have been described using a multi-dimensional visualization method. And OLAP technologies were used to carry out analytical processing of this data. OLAP technologies allow aggregate data to be used and presented as a hypercube. The results of the research can be used as a basis for an environmental information system that is used for environmental monitoring.

Article Details

How to Cite
N.A, R., V.H., A., M.E., K., V.A., A., & T.K., A. (2020). Analysis of Tools for The Description and Analytical Processing of Enviromental Data. EKSAKTA: Journal of Sciences and Data Analysis, 20(2), 129–132. https://doi.org/10.20885/EKSAKTA.vol1.iss2.art6

References

  1. M. Oprea, L. Iliadis, An artificial intelligence-based environment quality analysis system, EngineeringApplications of Neural Networks, Springer2011, pp. 499-508.
  2. Boghossian, G. (2018, December 6). The Book of Wonders: The Caspian Sea. Available at:http://www.brokennature.org/the-book-of-wonders-the-caspian-sea.
  3. S. LeVine, The Oil and the Glory: the pursuit of empire and fortune on the CaspianSea, RandomHouse2007.
  4. N. Contessi, Traditional security in Eurasia: the Caspian caught between militarisation anddiplomacy, The RUSI Journal 160(2) (2015) 50-57.
  5. R.A. Karayev, K.A. Aliyev, N.Y. Sadikhova, X.F. Imamverdiyeva, Knowledge-Based System forEnvironmental Monitoring of Contract Areas in the Caspian Sea, Current World Environment 9(3)(2014) 602.
  6. A. Rasuly, R. Naghdifar, M. Rasoli, Monitoring of Caspian Sea coastline changes using object-oriented techniques, Procedia Environmental Sciences 2 (2010) 416-426.
  7. S.G. Karimov, T.K. Asgarov, organization information retrieval in the database and knowledge baseon intellectual information system on ecology, Appl. Comput. Math 9(2) (2010) 234-242.
  8. Moen, J. (2015). Caspian Sea –Map & Details. World Atlas.Available at:https://www.worldatlas.com/aatlas/infopage/caspiansea.htm.
  9. A. Bender, F.G.A. Francisco, J. Sundberg, A Review of Methods and Models for Environmental Monitoring of Marine Renewable Energy, EWTEC.
  10. S. Kupschus, M. Schratzberger, D. Righton, Practical implementation of ecosystem monitoring forthe ecosystem approach to management, Journal of Applied Ecology 53(4) (2016) 1236-1247.
  11. I. Secerov, D. Dolinaj, D. Pavic, D. Milosevic, S. Savic, S. Papov, Z. Zivanov, Environmental Monitoring Systems: Review and Future Development, Wireless Engineering and Technology 10(1) (2018) 1-18.
  12. L. Zhai, W. Jiang, Intelligent Environment Monitoring System for University Laboratories, FutureInternet 10(11) (2018) 110.
  13. S. Fang, L. Da Xu, Y. Zhu, J. Ahati, H. Pei, J. Yan, Z. Liu, An integrated system for regionalenvironmental monitoring and management based on internet of things, IEEE Transactions on Industrial Informatics 10(2) (2014) 1596-1605.
  14. G. Kenzhetayev, S. Syrlybekkyzy, S. Shapalov, S. Koibakova, Z. Altybayev, ecological monitoringin coatal area of caspian sea using geoinformational technologies, series of biological and medical1(2019) 42-47.
  15. N. Yaitskaya, Y. Lychagina, S. Berdnikov, The ice conditions study of the Caspian Sea during thewinter periods 2008–2010 using satellite monitoring data and geographical information system,Fresenius Environmental Bulletin 23(11) (2014) 2771-2777.

Most read articles by the same author(s)