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Investigation of a possibility of spatial modelling of tree diversity using environmental and data mining algorithms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F16%3A72132" target="_blank" >RIV/60460709:41320/16:72132 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.17221/97/2016-JFS" target="_blank" >http://dx.doi.org/10.17221/97/2016-JFS</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17221/97/2016-JFS" target="_blank" >10.17221/97/2016-JFS</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Investigation of a possibility of spatial modelling of tree diversity using environmental and data mining algorithms

  • Original language description

    Biological diversity is the basis for a wide array of goods and services provided by forests. The variety of forest trees and shrubs plays a vital role in the daily life of forest communities. The purpose of this study is to investigate the possibility of modelling the diversity of tree species by characteristics of topography, soil and climate, using data mining algorithms k-NN, RF and SVM in Dr. Bahramnia forestry plan in the north of Iran. Based on the basal area factor for each species in a total of 518 sample plots, diversity indices such as species richness, evenness and heterogeneity were calculated for each plot. Topographic maps of primary and secondary properties were prepared using the digital elevation model. Categories of the soil and climate maps database of Dr. Bahramnia forestry plan were extracted. Modelling rates of tree and shrub species diversity using data mining algorithms, with 80% of the sampling plots were taken. Assessment of the model accuracy, using 20% of samples

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    GK - Forestry

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Forest Science

  • ISSN

    1212-4834

  • e-ISSN

  • Volume of the periodical

    62

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    9

  • Pages from-to

    562-570

  • UT code for WoS article

  • EID of the result in the Scopus database