| Title: | MLFS v0.4.3 : Machine Learning Forest Simulator |
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| Authors: | ID Jevšenak, Jernej (Author) |
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| Files: |  URL - Source URL, visit https://cran.r-project.org/web/packages/MLFS/index.html
URL - Source URL, visit https://github.com/jernejjevsenak/MLFS/issues
Description: Programska koda
 ZIP - Presentation file, download (1,88 MB)
MD5: 8560131D9CE4ED5C93C0744C9004E16B
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| Language: | English |
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| Typology: | 2.21 - Software |
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| Organization: |  SciVie - Slovenian Forestry Institute
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| Abstract: | Climate-sensitive, single-tree forest simulator based on data-driven machine learning. It simulates the main forest processes— radial growth, height growth, mortality, crown recession, regeneration, and harvesting—so users can assess stand development under climate and management scenarios. |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Place of publishing: | California (US) |
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| Place of performance: | California (US) |
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| Publisher: | GitHub platform |
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| Number of pages: | 1 spletni vir |
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| PID: | 20.500.12556/DiRROS-24244  |
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| UDC: | 630*5 |
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| DOI: | 10.32614/CRAN.package.MLFS |
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| COBISS.SI-ID: | 258381059 |
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| Note: | Vrsta vira: programska koda;
Nasl. z. nasl. zaslona;
Opis vira z dne 24. 11. 2025;
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| Publication date in DiRROS: | 24.11.2025 |
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| Views: | 104 |
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| Downloads: | 83 |
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| Metadata: |    |
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