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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

GK - Lesnictví

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Journal of Forest Science

ISSN

1212-4834

e-ISSN

—

Svazek periodika

62

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

9

Strana od-do

562-570

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—