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.

Original languageEnglish
Title of host publicationSoftware Engineering and Algorithms in Intelligent Systems - Proceedings of 7th Computer Science On-line Conference 2018
EditorsRadek Silhavy
PublisherSpringer Nature
Pages176-185
Number of pages10
ISBN (Print)9783319911915
DOIs
StatePublished - 2019
Event7th Computer Science On-line Conference, CSOC 2018 - Zlin, Czech Republic
Duration: 25 Apr 201828 Apr 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume765
ISSN (Print)2194-5357

Conference

Conference7th Computer Science On-line Conference, CSOC 2018
Country/TerritoryCzech Republic
CityZlin
Period25/04/1828/04/18

    Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

    Research areas

  • Ecological economy, Environmental assets, Environmental monitoring, Heterogeneous data, Internet purchases, Key word searchers, Land remote sensing data

ID: 75019401