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Scale Influence on Qualitative–Quantitative Geodiversity Assessments for the Geosite Recognition of Western Samoa

Author

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  • Vladyslav Zakharovskyi

    (School of Agriculture and Environment, Massey University, Palmerston North 4442, New Zealand)

  • Károly Németh

    (School of Agriculture and Environment, Massey University, Palmerston North 4442, New Zealand
    Lithosphere Physics Research Group, Institute of Earth Physics and Space Science, 9400 Sopron, Hungary
    The Geoconservation Trust Aotearoa Pacific, Ōpōtiki 3122, New Zealand)

Abstract

Spatial scale in modeling is one of the most important aspects of any kind of assessment. This study utilized previously studied assessments of geodiversity through a qualitative–quantitative methodology for geosite recognition. Our methodology was developed based on geodiversity as a complex description of all elements of abiotic nature and processes, influencing it. Based on this definition, geodiversity can be divided into main elements: geology and geomorphology, creating a core of abiotic nature; and additional elements including hydrology, climate, and human influences. We include this description of geodiversity here to emphasize the data which were used in the assessment. The methodology was based on an evaluation system, subject to improvements informed by previous research, and map-based models showing the area of spreading of calculated elements. Except for additional changes in the assessment, this article primarily addresses the problem of scale, by comparing two different methods of scale in the research: grid and non-grid. Grid types of assessment are considered a widely useable method, requiring definitions of areas of research with a potential variety of polygons, and calculating elements inside the cell and applying values to each cell. In contrast, non-grid assessment utilizes the natural borders of all elements (e.g., map view pattern of geological formations), and including them in calculations. The union of layers from different elements creates shapes which highlight regions with the highest values. Hence, the goal of this article is to demonstrate differences between grid and non-grid assessments of geodiversity in Western Samoa. In our results, we compare the methods and emphasize specific tasks most suitable for each method.

Suggested Citation

  • Vladyslav Zakharovskyi & Károly Németh, 2022. "Scale Influence on Qualitative–Quantitative Geodiversity Assessments for the Geosite Recognition of Western Samoa," Geographies, MDPI, vol. 2(3), pages 1-15, August.
  • Handle: RePEc:gam:jgeogr:v:2:y:2022:i:3:p:29-490:d:884558
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    References listed on IDEAS

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    1. Canan Cengiz & Şükran Şahin & Bülent Cengiz & Mükerrem Bahar Başkır & Pelin Keçecioğlu Dağlı, 2021. "Evaluation of the Visitor Understanding of Coastal Geotourism and Geoheritage Potential Based on Sustainable Regional Development in Western Black Sea Region, Turkey," Sustainability, MDPI, vol. 13(21), pages 1-31, October.
    2. Juliana P. Silva & Diamantino I. Pereira & Alexandre M. Aguiar & Cleide Rodrigues, 2013. "Geodiversity assessment of the Xingu drainage basin," Journal of Maps, Taylor & Francis Journals, vol. 9(2), pages 254-262, June.
    3. Vladyslav Zakharovskyi & Károly Németh, 2021. "Quantitative-Qualitative Method for Quick Assessment of Geodiversity," Land, MDPI, vol. 10(9), pages 1-21, September.
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    Cited by:

    1. Laura Valentini & Veronica Guerra & Olivia Nesci, 2023. "The Mt. Catria–Mt. Nerone Ridge in the North-Marchean Apennines (Central Italy): A Potential Geopark?," Sustainability, MDPI, vol. 15(14), pages 1-28, July.
    2. Vladyslav Zakharovskyi & Károly Németh, 2023. "Recognition of Potential Geosites Utilizing a Hydrological Model within Qualitative–Quantitative Assessment of Geodiversity in the Manawatu River Catchment, New Zealand," Geographies, MDPI, vol. 3(1), pages 1-19, February.
    3. Alejandro Arias-Díaz & Hugo Murcia & Felipe Vallejo-Hincapié & Károly Németh, 2023. "Understanding Geodiversity for Sustainable Development in the Chinchiná River Basin, Caldas, Colombia," Land, MDPI, vol. 12(11), pages 1-36, November.
    4. Vladyslav Zakharovskyi & Károly Németh, 2022. "Geomorphological Model Comparison for Geosites, Utilizing Qualitative–Quantitative Assessment of Geodiversity, Coromandel Peninsula, New Zealand," Geographies, MDPI, vol. 2(4), pages 1-20, October.

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