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Harvard
Verzilin, D, Maximova, T, Skorykh, S
& Sokolova, I 2019,
Linking Remote Sensing Data, Municipal Statistics and Online Population Activity for Environmental Assessments in Urban Agglomerations. in DA Alexandrov, Y Kabanov, O Koltsova, I Musabirov, AV Boukhanovsky & AV Chugunov (eds),
Digital Transformation and Global Society - 4th International Conference, DTGS 2019, Revised Selected Papers. Communications in Computer and Information Science, vol. 1038 CCIS, Springer Nature, pp. 17-28, 4th International Conference on Digital Transformation and Global Society, DTGS 2019, St. Petersburg, Russian Federation,
19/06/19.
https://doi.org/10.1007/978-3-030-37858-5_2APA
Verzilin, D., Maximova, T., Skorykh, S.
, & Sokolova, I. (2019).
Linking Remote Sensing Data, Municipal Statistics and Online Population Activity for Environmental Assessments in Urban Agglomerations. In D. A. Alexandrov, Y. Kabanov, O. Koltsova, I. Musabirov, A. V. Boukhanovsky, & A. V. Chugunov (Eds.),
Digital Transformation and Global Society - 4th International Conference, DTGS 2019, Revised Selected Papers (pp. 17-28). (Communications in Computer and Information Science; Vol. 1038 CCIS). Springer Nature.
https://doi.org/10.1007/978-3-030-37858-5_2Vancouver
Verzilin D, Maximova T, Skorykh S
, Sokolova I.
Linking Remote Sensing Data, Municipal Statistics and Online Population Activity for Environmental Assessments in Urban Agglomerations. In Alexandrov DA, Kabanov Y, Koltsova O, Musabirov I, Boukhanovsky AV, Chugunov AV, editors, Digital Transformation and Global Society - 4th International Conference, DTGS 2019, Revised Selected Papers. Springer Nature. 2019. p. 17-28. (Communications in Computer and Information Science).
https://doi.org/10.1007/978-3-030-37858-5_2Author
BibTeX
@inproceedings{51975623ffcf49bd9f8ab5b4d827fdf8,
title = "Linking Remote Sensing Data, Municipal Statistics and Online Population Activity for Environmental Assessments in Urban Agglomerations",
abstract = "The authors argue that linking in time and space data on search queries and discussions in social networks with remote sensing data and municipal statistics provides valuable information about actual problems in urban agglomeration development. Examples of models for an analysis of such information and model-aided results related to recreational needs and environment pollution confirmed usefulness of linking data for evidence-based policy making in agglomeration development. As a result of the implementation of the models, three goals were achieved: the working ability of the general approach for environmental assessment of agglomerations was tested; new informative results were obtained, characterizing the dynamics of ecological-economic objects of the coastal areas of the Gulf of Finland and the relationship between indicators of the state of these objects; new approaches to integrating data that were not previously used together (remote sensing data, official data from municipal statistics, environmental monitoring data, as well as online population activity data) were tested.",
keywords = "Environmental assessments, Environmental monitoring, Key word searchers, Online activity, Smart sensible agglomeration, Smart sensible cities, Social networks",
author = "Dmitry Verzilin and Tatyana Maximova and Segey Skorykh and Irina Sokolova",
note = "Funding Information: The research described in this paper is partially supported by the Russian Foundation for Basic Research (grants 17-06-00108, 17-08-00797), state order of the Ministry of Education and Science of the Russian Federation ?2.3135.2017/4.6, state research 0073?2019? 0004 and International project ERASMUS +, Capacity building in higher education, # 73751-EPP-1-2016-1-DE-EPPKA2-CBHE-JP. Funding Information: Acknowledgments. The research described in this paper is partially supported by the Russian Foundation for Basic Research (grants 17-06-00108, 17-08-00797), state order of the Ministry of Education and Science of the Russian Federation №2.3135.2017/4.6, state research 0073–2019– 0004 and International project ERASMUS + , Capacity building in higher education, # 73751-EPP-1-2016-1-DE-EPPKA2-CBHE-JP. Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 4th International Conference on Digital Transformation and Global Society, DTGS 2019 ; Conference date: 19-06-2019 Through 21-06-2019",
year = "2019",
doi = "10.1007/978-3-030-37858-5_2",
language = "English",
isbn = "9783030378578",
series = "Communications in Computer and Information Science",
publisher = "Springer Nature",
pages = "17--28",
editor = "Alexandrov, {Daniel A.} and Yury Kabanov and Olessia Koltsova and Ilya Musabirov and Boukhanovsky, {Alexander V.} and Chugunov, {Andrei V.}",
booktitle = "Digital Transformation and Global Society - 4th International Conference, DTGS 2019, Revised Selected Papers",
address = "Germany",
url = "http://dtgs-conference.org",
}
RIS
TY - GEN
T1 - Linking Remote Sensing Data, Municipal Statistics and Online Population Activity for Environmental Assessments in Urban Agglomerations
AU - Verzilin, Dmitry
AU - Maximova, Tatyana
AU - Skorykh, Segey
AU - Sokolova, Irina
N1 - Conference code: 4
PY - 2019
Y1 - 2019
N2 - The authors argue that linking in time and space data on search queries and discussions in social networks with remote sensing data and municipal statistics provides valuable information about actual problems in urban agglomeration development. Examples of models for an analysis of such information and model-aided results related to recreational needs and environment pollution confirmed usefulness of linking data for evidence-based policy making in agglomeration development. As a result of the implementation of the models, three goals were achieved: the working ability of the general approach for environmental assessment of agglomerations was tested; new informative results were obtained, characterizing the dynamics of ecological-economic objects of the coastal areas of the Gulf of Finland and the relationship between indicators of the state of these objects; new approaches to integrating data that were not previously used together (remote sensing data, official data from municipal statistics, environmental monitoring data, as well as online population activity data) were tested.
AB - The authors argue that linking in time and space data on search queries and discussions in social networks with remote sensing data and municipal statistics provides valuable information about actual problems in urban agglomeration development. Examples of models for an analysis of such information and model-aided results related to recreational needs and environment pollution confirmed usefulness of linking data for evidence-based policy making in agglomeration development. As a result of the implementation of the models, three goals were achieved: the working ability of the general approach for environmental assessment of agglomerations was tested; new informative results were obtained, characterizing the dynamics of ecological-economic objects of the coastal areas of the Gulf of Finland and the relationship between indicators of the state of these objects; new approaches to integrating data that were not previously used together (remote sensing data, official data from municipal statistics, environmental monitoring data, as well as online population activity data) were tested.
KW - Environmental assessments
KW - Environmental monitoring
KW - Key word searchers
KW - Online activity
KW - Smart sensible agglomeration
KW - Smart sensible cities
KW - Social networks
UR - http://www.scopus.com/inward/record.url?scp=85078534243&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-37858-5_2
DO - 10.1007/978-3-030-37858-5_2
M3 - Conference contribution
AN - SCOPUS:85078534243
SN - 9783030378578
T3 - Communications in Computer and Information Science
SP - 17
EP - 28
BT - Digital Transformation and Global Society - 4th International Conference, DTGS 2019, Revised Selected Papers
A2 - Alexandrov, Daniel A.
A2 - Kabanov, Yury
A2 - Koltsova, Olessia
A2 - Musabirov, Ilya
A2 - Boukhanovsky, Alexander V.
A2 - Chugunov, Andrei V.
PB - Springer Nature
T2 - 4th International Conference on Digital Transformation and Global Society, DTGS 2019
Y2 - 19 June 2019 through 21 June 2019
ER -
