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The mapping of soil taxonomic units via fuzzy clustering - A case study from the Outer Carpathians, Czechia

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F18%3AA1901V3X" target="_blank" >RIV/61988987:17310/18:A1901V3X - isvavai.cz</a>

  • Alternative codes found

    RIV/62156489:43410/18:43914247

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0016706117316968" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0016706117316968</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.geoderma.2018.04.012" target="_blank" >10.1016/j.geoderma.2018.04.012</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The mapping of soil taxonomic units via fuzzy clustering - A case study from the Outer Carpathians, Czechia

  • Original language description

    The paper presents a new method for the digital mapping of taxonomic soil units via fuzzy taxonomy and fuzzy clustering. In principle, this respects the continuous character of the soil but can result in traditional crisp soil maps. A part of the Moravskoslezské Beskydy Mts. (Czech Republic) was the testing area. Fuzzified taxonomic soil information from 106 soil pits with 75 geomorphometric parameters (potential environmental covariates of soil units) derived from a 10 m LIDAR Digital Elevation Model (DEM) was used for the input data. Another 60 soil pits were used for the validation of the results. Generalized linear models (GLM) of the relationship between fuzzified taxonomic soil information (membership of soil pits to particular soil types) and all geomorphometric parameters were used for the selection of 8 geomorphometric parameters as environmental covariates of soil taxonomic units. The fuzzy c-means clustering of selected covariates led to the delimitation of soil-landscape units. The taxonomic meanings of the soil-landscape units (membership of the particular soil type to the particular type of soil-landscape unit) were determined on the basis of membership of soil pits to the soil types, and membership of the pixels with soil pits to the given type of soil-landscape unit. Every pixel obtained an individual membership to each soil type in this way. The defuzzification process (the assignment of a given pixel to only one resultant soil subtype) considered the first and second largest membership of pixels to particular soil types. To express the scientific reliability of the results, methods for measuring uncertainty and two modified confusion indexes are calculated. This approach shows 26 % full agreement, 64 % partial agreement and 10 % disagreement between the modelled and observed point data. The result significantly exceeds the accuracy of conventional soil maps in the tested area.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40104 - Soil science

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    GEODERMA

  • ISSN

    0016-7061

  • e-ISSN

    1872-6259

  • Volume of the periodical

  • Issue of the periodical within the volume

    326

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    12

  • Pages from-to

    111-122

  • UT code for WoS article

    000433648800010

  • EID of the result in the Scopus database

    2-s2.0-85046169002