Geodiversity Assessment with Crowdsourced Data and Spatial Multicriteria Analysis
This paper presents an approach to geodiversity assessment based on spatial multicriteria analysis. Instead of relying solely on weighted linear combination (WLC) for aggregating factor ratings and weights to compute a synthetic measure of geodiversity, the approach employs WLC in concert with its l...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/9/12/716 |
| _version_ | 1797545951614730240 |
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| author | Piotr Jankowski Alicja Najwer Zbigniew Zwoliński Jacek Niesterowicz |
| author_facet | Piotr Jankowski Alicja Najwer Zbigniew Zwoliński Jacek Niesterowicz |
| author_sort | Piotr Jankowski |
| collection | DOAJ |
| description | This paper presents an approach to geodiversity assessment based on spatial multicriteria analysis. Instead of relying solely on weighted linear combination (WLC) for aggregating factor ratings and weights to compute a synthetic measure of geodiversity, the approach employs WLC in concert with its local version called L-WLC to provide a more comprehensive assessment approach. As part of the approach, the assessment input data comprised of geodiversity factor ratings and weights were obtained through crowdsourcing. A geoinformation crowdsourcing tool called the geo-questionnaire was used to obtain data from 57 Earth science researchers worldwide. These data served as the bases for a group assessment of geodiversity. The reliability of assessment was evaluated by means of spatially explicit uncertainty analysis. The results showed the efficacy of local spatial multicriteria analysis techniques (L-WLC) used in concert with a global technique (WLC) on the example of geodiversity assessment for Karkonosze National Park in southwestern Poland. |
| first_indexed | 2024-03-10T14:23:15Z |
| format | Article |
| id | doaj.art-5120732ecaee4357b46045ddae508a3f |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T14:23:15Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-5120732ecaee4357b46045ddae508a3f2023-11-20T23:11:50ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-12-0191271610.3390/ijgi9120716Geodiversity Assessment with Crowdsourced Data and Spatial Multicriteria AnalysisPiotr Jankowski0Alicja Najwer1Zbigniew Zwoliński2Jacek Niesterowicz3Department of Geography, San Diego State University, San Diego, CA 92182-4493, USAInstitute of Geoecology and Geoinformation, Adam Mickiewicz University, 61-680 Poznań, PolandInstitute of Geoecology and Geoinformation, Adam Mickiewicz University, 61-680 Poznań, PolandInstitute of Geoecology and Geoinformation, Adam Mickiewicz University, 61-680 Poznań, PolandThis paper presents an approach to geodiversity assessment based on spatial multicriteria analysis. Instead of relying solely on weighted linear combination (WLC) for aggregating factor ratings and weights to compute a synthetic measure of geodiversity, the approach employs WLC in concert with its local version called L-WLC to provide a more comprehensive assessment approach. As part of the approach, the assessment input data comprised of geodiversity factor ratings and weights were obtained through crowdsourcing. A geoinformation crowdsourcing tool called the geo-questionnaire was used to obtain data from 57 Earth science researchers worldwide. These data served as the bases for a group assessment of geodiversity. The reliability of assessment was evaluated by means of spatially explicit uncertainty analysis. The results showed the efficacy of local spatial multicriteria analysis techniques (L-WLC) used in concert with a global technique (WLC) on the example of geodiversity assessment for Karkonosze National Park in southwestern Poland.https://www.mdpi.com/2220-9964/9/12/716geodiversity assessmentcrowdsourcingspatial multicriteria analysisuncertainty analysis |
| spellingShingle | Piotr Jankowski Alicja Najwer Zbigniew Zwoliński Jacek Niesterowicz Geodiversity Assessment with Crowdsourced Data and Spatial Multicriteria Analysis ISPRS International Journal of Geo-Information geodiversity assessment crowdsourcing spatial multicriteria analysis uncertainty analysis |
| title | Geodiversity Assessment with Crowdsourced Data and Spatial Multicriteria Analysis |
| title_full | Geodiversity Assessment with Crowdsourced Data and Spatial Multicriteria Analysis |
| title_fullStr | Geodiversity Assessment with Crowdsourced Data and Spatial Multicriteria Analysis |
| title_full_unstemmed | Geodiversity Assessment with Crowdsourced Data and Spatial Multicriteria Analysis |
| title_short | Geodiversity Assessment with Crowdsourced Data and Spatial Multicriteria Analysis |
| title_sort | geodiversity assessment with crowdsourced data and spatial multicriteria analysis |
| topic | geodiversity assessment crowdsourcing spatial multicriteria analysis uncertainty analysis |
| url | https://www.mdpi.com/2220-9964/9/12/716 |
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