Rodyti trumpą aprašą

dc.contributor.authorCalka, Beata
dc.contributor.authorOrych, Agata
dc.contributor.authorBielecka, Elzbieta
dc.contributor.authorMozūriūnaitė, Skirmantė
dc.date.accessioned2023-09-18T16:17:22Z
dc.date.available2023-09-18T16:17:22Z
dc.date.issued2022
dc.identifier.issn2072-4292
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/112815
dc.description.abstractIndicator 11.3. 1 of the 2030 sustainable development goals (SDG) 11, i.e., the ratio of the land use to the population growth rate, is currently classified by the United Nations as a Tier II indicator, as there is a globally-accepted methodology for its calculation, but the data are not available, nor are not regularly updated. Recently, the increased availability of remotely sensed data and products allows not only for the calculation of the SDG 11.3. 1, but also for its monitoring at different levels of detail. That is why this study aims to address the interrelationships between population development and land use changes in Poland and Lithuania, two neighboring countries in Central and Eastern Europe, using the publicly available remotely sensed products, CORINE land cover and GHS-POP. The paper introduces a map modelling process that starts with data transformation through GIS analyses and results in the geovisualisation of the LCRPGR (land use efficiency), the PGR (population growth rate), and the LCR (land use rate). We investigated the spatial patterns of the index values by utilizing hotspot analyses, autocorrelations, and outlier analyses. The results show how the indicators’ values were concentrated in both countries; the average value of SDG 11.3. 1, from 2000 to 2018 in Poland amounted to 0.115 and, in Lithuania, to −0.054. The average population growth ratio (PGR) in Poland equaled 0.0132, and in Lithuania, it was −0.0067, while the average land consumption ratios (LCRs) were 0.0462 and 0.0067, respectively. Areas with an increase in built-up areas were concentrated mainly on the outskirts of large cities, whereas outliers of the LCRPGR index were mainly caused by the uncertainty of the source data and the way the indicator is interpreted.eng
dc.formatPDF
dc.format.extentp. 1-24
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyGeoRef
dc.relation.isreferencedbyJ-Gate
dc.relation.isreferencedbyCABI Abstracts
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://www.mdpi.com/2072-4292/14/5/1074/pdf
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:121349731/datastreams/MAIN/content
dc.titleThe ratio of the land consumption rate to the population growth rate: A framework for the achievement of the spatiotemporal pattern in Poland and Lithuania
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references74
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionMilitary University of Technology (Warsaw)
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyArchitektūros fakultetas / Faculty of Architecture
dc.subject.researchfieldH 003 - Menotyra / Art studies
dc.subject.researchfieldT 004 - Aplinkos inžinerija / Environmental engineering
dc.subject.studydirectionP09 - Architektūra / Architecture
dc.subject.studydirectionE03 - Aplinkos inžinerija / Environmental engineering
dc.subject.vgtuprioritizedfieldsSD0303 - Architektūra ir urbanistinė aplinka / Architecture and Built Environment
dc.subject.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.enland use efficiency
dc.subject.enCORINE land cover
dc.subject.enGHS-POP
dc.subject.enSDG 11.3. 1
dc.subject.enEuropean remote sensing
dc.subject.encartographic modelling
dc.subject.enopen remotely sensed data
dcterms.sourcetitleRemote sensing: Special issue: European remote sensing-new solutions for science and practice
dc.description.issueiss. 5
dc.description.volumevol. 14
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi10.3390/rs14051074
dc.identifier.elaba121349731


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