Nothing Special   »   [go: up one dir, main page]

Skip to main content

Method of Mathematical and Geoinformation Models Integration Based On Unification of the Ecological Data Formalization

  • Conference paper
  • First Online:
Lecture Notes in Computational Intelligence and Decision Making (ISDMCI 2021)

Abstract

The scientific and methodological basis for the integration of mathematical and geoinformation models based on the unification of the formalization of environmental data has been developed. The ways of integration of the theoretical base of mathematical modeling from information sources about the state of the environment and the processes of its pollution are determined. An algorithm for selecting a modeling object, an algorithm for selecting the rules of recalculation of coordinates, and positioning of the calculation grid on the object are proposed. Systematization and formalization of the main components, quantities, and variables of mathematical models of processes, geoinformation models of systems, and relational models of databases are carried out. The model of relational databases and analogs of methods of data representation in mathematical and geoinformation models are offered. The stages of solving the problem of automating the exchange of data between models of different types in several stages are proposed. Variants of setting problems of automated synthesis of models of different types, depending on the identity of the structure and parameters of these models are considered. The stages of the automated creation of a database management system are determined. The approbation of the developed software is considered on a model example.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Akinina, N.V., Gusev, S.I., Kolesenkov, A.N., Taganov, A.I.: Construction of basic graphic elements library for geoinformation ecological monitoring system. In: 27th International Conference Radioelektronika (RADIOELEKTRONIKA), pp. 1–5 (2017). https://doi.org/10.1109/radioelek.2017.7937585

  2. Belyakov, S., Belyakova, M., Glushkov, A.: Intellectual cartographic visualization procedure for geoinformation system. In: 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC), pp. 1–4 (2018). https://doi.org/10.1109/rpc.2018.8482160

  3. Chernyavsky, G.M.: Space monitoring of the environment and global safety. Math. Comput. Simul. 67(4–5), 291–299 (2004). https://doi.org/10.1016/j.matcom.2004.06.027

    Article  MathSciNet  MATH  Google Scholar 

  4. Gordienko, L., Ginis, L.: Geoinformation project as complex object forecasting and decision making tool in intelligent information and management systems. In: International Russian Automation Conference (RusAutoCon), pp. 653–657 (2020). https://doi.org/10.1109/rusautocon49822.2020.9208046

  5. Kinakh, V., Bun, R., Danylo, O.: Geoinformation technology of analysis and vizualization of spatial data on greenhouse gas emissions using Google Earth Engine. In: 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), pp. 212–215 (2017). https://doi.org/10.1109/stc-csit.2017.8098771

  6. Mokin, V.B.: Development of the geoinformation system of the state ecological monitoring. In: Geographic Uncertainty in Environmental Security. NATO Science for Peace and Security Series C: Environmental Security, pp. 153–165 (2007). https://doi.org/10.1007/978-1-4020-6438-8_9

  7. Mokin, V.B., Bocula, M.P., Kryzhanovs’kyj, Y.M.: Informacijna texnolohiya intehruvannya matematychnyx modelej u heoinformacijni systemy monitorynhu poverxnevyx vod. VNTU, Vinnycya (2011)

    Google Scholar 

  8. Mokin, V.B., Kryzhanovs’kyj, Y.M.: Heoinformacijni systemy v ekolohiyi. VNTU, Vinnycya (2014)

    Google Scholar 

  9. Molenaar, M.: Status and problems of geographical information systems. The necessity of a geoinformation theory. ISPRS J. Photogram. Remote Sens. 46(2), 85–103 (1991). https://doi.org/10.1016/0924-2716(91)90018-q

  10. Plakhotnij, S.A., Klyuchko, O.M., Krotinova, M.V.: Information support for automatic industrial environment monitoring systems. Elec. Contr. Sys. 1(47), 29–34 (2016). https://doi.org/10.18372/1990-5548.47.10266

  11. Pradhan, B.: A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS. Comput. Geosci. 51, 350–365 (2013). https://doi.org/10.1016/j.cageo.2012.08.023

    Article  Google Scholar 

  12. Shanmugasundaram, R., Santhiyakumari, N.: Urban sprawl classification analysis using image processing technique in geoinformation system. In: Conference on Emerging Devices and Smart Systems (ICEDSS), pp. 192–196 (2018). https://doi.org/10.1109/icedss.2018.8544367

  13. Sultangazin, U.: Information systems based on space monitoring for solution of some problems of sustainable development. Math. Comput. Simul. 67(4–5), 279–290 (2004). https://doi.org/10.1016/j.matcom.2004.06.028

    Article  MathSciNet  MATH  Google Scholar 

  14. Thomas, B.C., Goracke, B.D., Dalton, S.M.: Atmospheric constituents and surface-level UVB: implications for a paleoaltimetry proxy and attempts to reconstruct UV exposure during volcanic episodes. Earth Planet. Sci. Lett. 453, 141–151 (2016). https://doi.org/10.1016/j.epsl.2016.08.014

    Article  Google Scholar 

  15. Veselov, V.V., Panichkin, V.Y., Zakharova, N.M., Vinnikova, T.N., Trushel, L.Y.: Geoinformation and mathematical model of Eastern Priaralye. Math. Comput. Simul. 67(4–5), 317–325 (2004). https://doi.org/10.1016/j.matcom.2004.06.016

    Article  MathSciNet  MATH  Google Scholar 

  16. Zakharov, S., Taganov, A., Gusev, S., Kolesenkov, A.: The analysis and monitoring of ecological risks on the basis of fuzzy petri nets. In: 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC), pp. 1–5 (2018). https://doi.org/10.1109/rpc.2018.8482155

  17. Zolnikov, I.D., Postnov, A.V., Lyamina, V.A., Slavinski, V.S., Chupina, D.A.: Geoinformation modeling of environments favorable for prehistoric humans of the altai mountains. Archaeol. Ethnol. Anthropol. Eurasia 41(3), 40–43 (2013). https://doi.org/10.1016/j.aeae.2014.03.006

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Viktor Kozel .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mashkov, O., Ivashchenko, T., Wójcik, W., Bardachov, Y., Kozel, V. (2022). Method of Mathematical and Geoinformation Models Integration Based On Unification of the Ecological Data Formalization. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 77. Springer, Cham. https://doi.org/10.1007/978-3-030-82014-5_20

Download citation

Publish with us

Policies and ethics