Standard

Integration of heterogeneous data in monitoring environmental assets. / Verzilin, Dmitrii; Maximova, Tatyana; Antokhin, Yury; Sokolova, Irina.

Software Engineering and Algorithms in Intelligent Systems - Proceedings of 7th Computer Science On-line Conference 2018. ed. / Radek Silhavy. Springer Nature, 2019. p. 176-185 (Advances in Intelligent Systems and Computing; Vol. 765).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Verzilin, D, Maximova, T, Antokhin, Y & Sokolova, I 2019, Integration of heterogeneous data in monitoring environmental assets. in R Silhavy (ed.), Software Engineering and Algorithms in Intelligent Systems - Proceedings of 7th Computer Science On-line Conference 2018. Advances in Intelligent Systems and Computing, vol. 765, Springer Nature, pp. 176-185, 7th Computer Science On-line Conference, CSOC 2018, Zlin, Czech Republic, 25/04/18. https://doi.org/10.1007/978-3-319-91192-2_19

APA

Verzilin, D., Maximova, T., Antokhin, Y., & Sokolova, I. (2019). Integration of heterogeneous data in monitoring environmental assets. In R. Silhavy (Ed.), Software Engineering and Algorithms in Intelligent Systems - Proceedings of 7th Computer Science On-line Conference 2018 (pp. 176-185). (Advances in Intelligent Systems and Computing; Vol. 765). Springer Nature. https://doi.org/10.1007/978-3-319-91192-2_19

Vancouver

Verzilin D, Maximova T, Antokhin Y, Sokolova I. Integration of heterogeneous data in monitoring environmental assets. In Silhavy R, editor, Software Engineering and Algorithms in Intelligent Systems - Proceedings of 7th Computer Science On-line Conference 2018. Springer Nature. 2019. p. 176-185. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-91192-2_19

Author

Verzilin, Dmitrii ; Maximova, Tatyana ; Antokhin, Yury ; Sokolova, Irina. / Integration of heterogeneous data in monitoring environmental assets. Software Engineering and Algorithms in Intelligent Systems - Proceedings of 7th Computer Science On-line Conference 2018. editor / Radek Silhavy. Springer Nature, 2019. pp. 176-185 (Advances in Intelligent Systems and Computing).

BibTeX

@inproceedings{f4620c3e198a40e6b350f9bf30f0ea97,
title = "Integration of heterogeneous data in monitoring environmental assets",
abstract = "The purpose of the study was to develop a general scheme for measuring and analyzing the dynamics of the state of environmental assets using a set of indicators constructed from environmental, social and economic monitoring data. Methodical approaches to the collection and integration of heterogeneous data describing the functioning of eco-economic objects (port, object of agriculture, recreational zone) have been developed. These data can be obtained as a result of ground-based measurements, remote sensing of the Earth, research of online activity of the population related to environmental responsibility and environmental concerns, and the determination of statistical indicators describing dynamics of environmental assets. The set of the indicators obtained from the remote sensing data of the land has been determined for the port area as a source of adverse impact on environmental assets. It was found out that the data on the Internet search queries for keywords related to environmental pollution reflect the degree of concern of the population with the environmental situation in the region and can be used as an indirect indicator of environmental ill-being. A general framework for integration of heterogeneous data in multi-criteria assessment of the state of eco-economic objects was grounded.",
keywords = "Ecological economy, Environmental assets, Environmental monitoring, Heterogeneous data, Internet purchases, Key word searchers, Land remote sensing data",
author = "Dmitrii Verzilin and Tatyana Maximova and Yury Antokhin and Irina Sokolova",
note = "Funding Information: Acknowledgments. The research described in this paper is partially supported by the Russian Foundation for Basic Research (grants 15-08-08459, 16-07-00779, 17-08-00797, 17-06-00108), Russian Humanitarian Found (grants 15-04-00400), state research 0073–2018–0003. Publisher Copyright: {\textcopyright} 2019, Springer International Publishing AG, part of Springer Nature. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 7th Computer Science On-line Conference, CSOC 2018 ; Conference date: 25-04-2018 Through 28-04-2018",
year = "2019",
doi = "10.1007/978-3-319-91192-2_19",
language = "English",
isbn = "9783319911915",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Nature",
pages = "176--185",
editor = "Radek Silhavy",
booktitle = "Software Engineering and Algorithms in Intelligent Systems - Proceedings of 7th Computer Science On-line Conference 2018",
address = "Germany",

}

RIS

TY - GEN

T1 - Integration of heterogeneous data in monitoring environmental assets

AU - Verzilin, Dmitrii

AU - Maximova, Tatyana

AU - Antokhin, Yury

AU - Sokolova, Irina

N1 - Funding Information: Acknowledgments. The research described in this paper is partially supported by the Russian Foundation for Basic Research (grants 15-08-08459, 16-07-00779, 17-08-00797, 17-06-00108), Russian Humanitarian Found (grants 15-04-00400), state research 0073–2018–0003. Publisher Copyright: © 2019, Springer International Publishing AG, part of Springer Nature. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.

PY - 2019

Y1 - 2019

N2 - The purpose of the study was to develop a general scheme for measuring and analyzing the dynamics of the state of environmental assets using a set of indicators constructed from environmental, social and economic monitoring data. Methodical approaches to the collection and integration of heterogeneous data describing the functioning of eco-economic objects (port, object of agriculture, recreational zone) have been developed. These data can be obtained as a result of ground-based measurements, remote sensing of the Earth, research of online activity of the population related to environmental responsibility and environmental concerns, and the determination of statistical indicators describing dynamics of environmental assets. The set of the indicators obtained from the remote sensing data of the land has been determined for the port area as a source of adverse impact on environmental assets. It was found out that the data on the Internet search queries for keywords related to environmental pollution reflect the degree of concern of the population with the environmental situation in the region and can be used as an indirect indicator of environmental ill-being. A general framework for integration of heterogeneous data in multi-criteria assessment of the state of eco-economic objects was grounded.

AB - The purpose of the study was to develop a general scheme for measuring and analyzing the dynamics of the state of environmental assets using a set of indicators constructed from environmental, social and economic monitoring data. Methodical approaches to the collection and integration of heterogeneous data describing the functioning of eco-economic objects (port, object of agriculture, recreational zone) have been developed. These data can be obtained as a result of ground-based measurements, remote sensing of the Earth, research of online activity of the population related to environmental responsibility and environmental concerns, and the determination of statistical indicators describing dynamics of environmental assets. The set of the indicators obtained from the remote sensing data of the land has been determined for the port area as a source of adverse impact on environmental assets. It was found out that the data on the Internet search queries for keywords related to environmental pollution reflect the degree of concern of the population with the environmental situation in the region and can be used as an indirect indicator of environmental ill-being. A general framework for integration of heterogeneous data in multi-criteria assessment of the state of eco-economic objects was grounded.

KW - Ecological economy

KW - Environmental assets

KW - Environmental monitoring

KW - Heterogeneous data

KW - Internet purchases

KW - Key word searchers

KW - Land remote sensing data

UR - http://www.scopus.com/inward/record.url?scp=85048059668&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-91192-2_19

DO - 10.1007/978-3-319-91192-2_19

M3 - Conference contribution

AN - SCOPUS:85048059668

SN - 9783319911915

T3 - Advances in Intelligent Systems and Computing

SP - 176

EP - 185

BT - Software Engineering and Algorithms in Intelligent Systems - Proceedings of 7th Computer Science On-line Conference 2018

A2 - Silhavy, Radek

PB - Springer Nature

T2 - 7th Computer Science On-line Conference, CSOC 2018

Y2 - 25 April 2018 through 28 April 2018

ER -

ID: 75019401