GIS HCS: Analytical Capabilities of the Open Section of the System for Educational Purposes

Main Article Content

Lyudmila Evgenievna Surkova

Abstract

The paper discusses and explores the possibilities of using the open part of the GIS housing and communal services information system, the section “Analytics and reports”, as a source of large reliable data and tools for working with them. The use of such data and work tools is important and relevant in the training of future specialists, the formation of their analytical skills with information. The purpose of the study is the possibility of setting and implementing analytical tasks for educational purposes based on real reliable GIS HCS data. During the research, the main features of the system were studied and the formulation of analytical tasks for educational purposes was proposed. The sections of the system “Technical condition of apartment buildings” and “Bringing management organizations to administrative responsibility” were used. One of the tasks is solved completely using the built-in tools of the platform, the other — regression analysis — using the tools of the table processor. The built-in tools of the open part of the GIS HCS “Analytics and Reports” allow to sort data, move from aggregated data to detailed data and back, supplement tabular data with graphical models, which makes working with information simple and understandable. The lack of the ability to export data from the system makes it difficult to use third-party applications for subsequent data processing. Solving this class of analytical problems allows students to gain skills in problem formulation, solution, and interpretation of the results obtained. The considered examples of analytical tasks can be expanded by other tasks proposed directly by the students themselves. This research is of practical importance in the training of future specialists in the field of economics, management, real estate management and housing and communal services.

Article Details

How to Cite
Surkova, L. E. (2024). GIS HCS: Analytical Capabilities of the Open Section of the System for Educational Purposes. Real Estate: Economics, Management, (4), 65–72. https://doi.org/10.22337/2073-8412-2024-4-65-72
Section
In the realm of exiting things

References

Grabovуy P. G., Volkov R. V., Volgin V. V. Intellectual property management. Real estate: economics, management. 2023; 1:16-20. DOI: 10.22337/2073-8412-2023-1-16-20. EDN VTUOXD. DOI: https://doi.org/10.22337/2073-8412-2023-1-16-20

Ryazanova G. N., Surkova L. E. Digital Technologies in the Educational Process of Higher School. “Smart Technologies” for Society, State and Economy. 2021; 155: 881-892. DOI: 10.1007/978-3-030-59126-7_98. EDN TUHSQY. DOI: https://doi.org/10.1007/978-3-030-59126-7_98

Botareva E. A. Improvement of the housing and communal services industry with the help of GIS housing and communal services. Science of the XXI Century: Actual Directions of Development. 2022; 1-1:10-12. DOI: 10.46554/ScienceXXI-2022.03-1.1-pp.10 EDN ZMEUJR.(rus.). DOI: https://doi.org/10.46554/ScienceXXI-2022.03-1.1-pp.10

Volkov A. A., Iskhakova S. G. Basic methods and approaches for solving the problem of implementing information systems in the housing and utilities sector. UGUES Bulletin. Science, education, and economics. Economy series. 2015; 1(11):139-142. (rus.).

Dorozhkina A. A., Shibaeva T. A. Relationship of power with the construction and maintenance organizations on the stages of the life cycle of buildings. Journal of Eurasian Science. 2024; 16(3). URL: https://esj.today/PDF/80SAVN324.pdf (rus.).

Kupriyanovsky V. P., Bulancha S. A., Kononov V. V., Chernykh K. Yu., Namiot D. E., Dobrynin A. P. Smart cities as “capitals” of the digital economy. International Journal of Open Information Technologies. 2016; 4(2):41-52. (rus.).

Ignatova E. V., Kruglova L. V. Information systems for accounting and data analysis of housing and communal services in multi-apartment buildings. Construction and Architecture. 2023; 11(4). URL: https://conarc.ru/ru/nauka/article/72104/view (rus.). DOI: https://doi.org/10.29039/2308-0191-2023-11-4-38-37

Kerzina E. A., Antineskul E. A., Sartakova E. V. Research of perception of digitalization value in the housing and utilities sector. Digital Models and Solutions. 2023; 2(3):69-83. DOI: 10.29141/2949-477X-2023-2-3-6. EDN SYLSOP.(rus.). DOI: https://doi.org/10.29141/2949-477X-2023-2-3-6

Kolokolova E. O. State information system as a means of monitoring and improving the efficiency of housing and communal services: legal aspect. Bulletin of the Russian University of Cooperation. 2018; 1(31):124-128. (rus.).

Koretsky A. A., Podoprigora V. B., Yartsev A. V. Trends in the development of information technologies in the housing and utilities sector. Engineering Bulletin of the Don. 2018; 4(51):136-149. URL: ivdon.ru/ru/magazine/archive/n4y2018/5437. EDN CCXOQQ. (rus.).

Larina T. S., Tkachenko A. L., Shirokova E. V. Improving the quality of providing state and municipal services to the population using GIS housing and communal services. Science Diary. 2022; 1(61):56-61. EDN NSTPIY. (rus.).

Saak A. E., Tyushnyakov V. N. Application of information technologies of management in housing and communal services. Bulletin of SFedU. Technical sciences. 2013; 1(138):246-252. EDN PUUPFJ. (rus.).

Silova Yu. A., Poyarkova E. I., Popov A. A. Modification of the functionality of the “GIS ZHKH” portal to solve current big data problems in the housing and communal services sector. Journal of Economy and Business. 2021; 12-3(82):66-71. DOI: 10.24412/2411-0450-2021-12-3-66-72 (rus.).

Savvina I. S. Calculation tools for determining the effects of digitalization of housing and communal services. Real Estate: Economics, Management. 2023; 3:47-52. DOI: 10.22337/2073-8412-2023-3-47-52 DOI: https://doi.org/10.22337/2073-8412-2023-3-47-52

Yumatov A. S. Methodological aspects of using the digital platform “State information system of housing and communal services”. Society and Power. 2019; 2(76):56-70. (rus.). DOI: https://doi.org/10.22394/1996-0522-2019-2-56-70

Surkova L., Laptev A. Neural network modelling of services and goods sales analysis. IFAC-PapersOnLine. 2019; 52(25):333-336. DOI: 10.1016/j.ifacol.2019.12.545 DOI: https://doi.org/10.1016/j.ifacol.2019.12.545

Ermilov M. M., Bityuckiy S. Y., Kudryavtseva L. G., Surkova L. E., Boltaevskiy A. A. Mathematical Model of Consumer Demand.Big Data in Information Society and Digital Economy. Studies in Big Data / ed. A. V. Bogoviz. 2023; 124:73-80. DOI: 10.1007/978-3-031-29489-19 DOI: https://doi.org/10.1007/978-3-031-29489-1_9

Popkova E. G. Big Data: A System-Forming Role in the Development of the Information Society and the Digital Economy for the Transition to Industry 5.0. Big Data in Information Society and Digital Economy. Studies in Big Data / ed. A. V. Bogoviz. 2023; 124. DOI: 10.1007/978-3-031-29489-1_1(rus.). DOI: https://doi.org/10.1007/978-3-031-29489-1_1

Naumkina Yu. V. Forecasting the values of physical wear of apartment buildings during a given period of time. Engineering Bulletin of the Don. 2023; 2: 229-236. URL: ivdon.ru/ru/magazine/archive/n.ru/ru/magazine/archive/n2y2023/8188 (rus.).

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.