Quantifying the influence of geo-spatial forest distribution on machinery management
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Standard
Quantifying the influence of geo-spatial forest distribution on machinery management. / Talbot, Bruce; Suadicani, Kjell.
I: Baltic Forestry, Bind 21, Nr. 2, 2015, s. 340-348.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Harvard
Talbot, B & Suadicani, K 2015, 'Quantifying the influence of geo-spatial forest distribution on machinery management', Baltic Forestry, bind 21, nr. 2, s. 340-348. <http://www.balticforestry.mi.lt/bf/PDF_Articles/2015-21[2]/Baltic%20Forestry%202015%2021(2)%20%20340_348%20Talbot.pdf>
APA
Talbot, B., & Suadicani, K. (2015). Quantifying the influence of geo-spatial forest distribution on machinery management. Baltic Forestry, 21(2), 340-348. http://www.balticforestry.mi.lt/bf/PDF_Articles/2015-21[2]/Baltic%20Forestry%202015%2021(2)%20%20340_348%20Talbot.pdf
Vancouver
Talbot B, Suadicani K. Quantifying the influence of geo-spatial forest distribution on machinery management. Baltic Forestry. 2015;21(2):340-348.
Author
Bibtex
@article{dbea7a34657a4967b5a9dff370fbe9fa,
title = "Quantifying the influence of geo-spatial forest distribution on machinery management",
keywords = "Machinery management, spatial planning, forest topology, cluster analysis, simulation",
author = "Bruce Talbot and Kjell Suadicani",
year = "2015",
language = "English",
volume = "21",
pages = "340--348",
journal = "Baltic Forestry",
issn = "1392-1355",
publisher = "Lietuvos Misku Institutas",
number = "2",
}
RIS
TY - JOUR
T1 - Quantifying the influence of geo-spatial forest distribution on machinery management
AU - Talbot, Bruce
AU - Suadicani, Kjell
PY - 2015
Y1 - 2015
KW - Machinery management
KW - spatial planning
KW - forest topology
KW - cluster analysis
KW - simulation
M3 - Journal article
VL - 21
SP - 340
EP - 348
JO - Baltic Forestry
JF - Baltic Forestry
SN - 1392-1355
IS - 2
ER -
ID: 161879508