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
—