Analiza in prostorsko modeliranje habitata jelenjadi (Cervus elaphus L.) jugozahodne Slovenije v rastrskem GIS okolju

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Title:	Analiza in prostorsko modeliranje habitata jelenjadi (Cervus elaphus L.) jugozahodne Slovenije v rastrskem GIS okolju
Authors:	ID Jerina, Klemen (Author) ID Adamič, Miha (Author) ID Marinčič, Anton (Author) ID Vidojevič, Valentin (Author)
Files:	PDF - Presentation file, download (1,27 MB) MD5: B3D8C7C04014D1A400D5544F94700F8F PID: 20.500.12556/dirros/b61789ca-6a32-4bfb-bf82-01e63dc03a29
Language:	Slovenian
Typology:	1.01 - Original Scientific Article
Organization:	SciVie - Slovenian Forestry Institute
Keywords:	jelenjad, populacijska dinamika, Cervus elaphus, gozdni ekosistem, upravljanje divjadi, diskriminativna analiza, GIS, model, areal razširjenosti
Publication status:	Published
Publication version:	Version of Record
Year of publishing:	2002
Number of pages:	str. 7-31
Numbering:	Vol. 68
PID:	20.500.12556/DiRROS-7243
UDC:	621:004.8
ISSN on article:	0351-3114
URN:	URN:NBN:SI:doc-RV8VIO7N
COBISS.SI-ID:	1050790
Publication date in DiRROS:	12.07.2017
Views:	5353
Downloads:	2199
Metadata:
:	JERINA, Klemen, ADAMIČ, Miha, MARINČIČ, Anton and VIDOJEVIČ, Valentin, 2002, Analiza in prostorsko modeliranje habitata jelenjadi (Cervus elaphus L.) jugozahodne Slovenije v rastrskem GIS okolju. Zbornik gozdarstva in lesarstva. forest and wood science & technology [online]. 2002. Vol. 68, p. 7–31. [Accessed 4 April 2025]. Retrieved from: https://dirros.openscience.si/IzpisGradiva.php?lang=eng&id=7243 Copy citation

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Title:	Zbornik gozdarstva in lesarstva. forest and wood science & technology
Shortened title:	Zb. gozd. lesar.
Publisher:	Gozdarski inštitut Slovenije, Biotehniška fakulteta, Oddelek za gozdarstvo in obnovljive gozdne vire, Biotehniška fakulteta, Oddelek za lesarstvo
ISSN:	0351-3114
COBISS.SI-ID:	6206978

Language:	Slovenian
Title:	Analysis and spatial modelling of red deer (Cervus elaphus L.) habitat of south-western Slovenia in a raster GIS environment
Keywords:	population dynamics, habitat suitability, models, classification trees, machine learning

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