Prognostisering av sortimentsutfall från stående skog med hjälp av befintliga data : anpassat till Sveaskog Norrbottens planeringsprocess
This study in the subject of forest planning is made for Sveaskog and its aim is to develop tools that prognosticate outcome in terms of volumes per sort from not yet cut forest stands. The degree of detail is just to get reliable results for at least one months volumes, for Sveaskogs own forestland...
| Autor principal: | |
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| Formato: | H1 |
| Lenguaje: | sueco Inglés |
| Publicado: |
SLU/Dept. of Forest Resource Management
2010
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| Materias: |
| _version_ | 1855570246632472576 |
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| author | Eriksson, Mikael |
| author_browse | Eriksson, Mikael |
| author_facet | Eriksson, Mikael |
| author_sort | Eriksson, Mikael |
| collection | Epsilon Archive for Student Projects |
| description | This study in the subject of forest planning is made for Sveaskog and its aim is to develop tools that prognosticate outcome in terms of volumes per sort from not yet cut forest stands. The degree of detail is just to get reliable results for at least one months volumes, for Sveaskogs own forestland in the market region of Norrbotten that is about 100 000 m3fub. The course of action to accomplish this is regression analysis and the data consists of cut tracts on own forestland in Norrbotten during the years 2006, 2007 and 2008. That is a little more than 4 million m3fub.
Two tools were made. One that uses planned tracts data (PT) for computation and one that uses the stand register data (BR). The PT-tool has the best precision of basically two obvious reasons. First PT is further in the supply chain and therefore closer to the answer, the industry measuring. Second, BR had some pretty serious practical issues attached to it at this time.
An internal validation was made with all the data and it showed that the calculated total volume for PT was 0,2 % below the true volume and the same volume for BR was 4,7 % above. More detailed, roughly the PT-tool estimates all sorts but burning wood and GROT fair while the BR-tool estimates all sorts but pine and spruce timber poor.
Finally, the aim of the study is reached because the tools are completed and the PT-tool shows promising results for practical use while the BR-tool right now can be tested but later be redone with better structured data.
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| format | H1 |
| id | RepoSLU942 |
| institution | Swedish University of Agricultural Sciences |
| language | swe Inglés |
| publishDate | 2010 |
| publishDateSort | 2010 |
| publisher | SLU/Dept. of Forest Resource Management |
| publisherStr | SLU/Dept. of Forest Resource Management |
| record_format | eprints |
| spelling | RepoSLU9422012-04-20T14:11:44Z Prognostisering av sortimentsutfall från stående skog med hjälp av befintliga data : anpassat till Sveaskog Norrbottens planeringsprocess Prognostication of assortments from standing forests with available data : adapted to Sveaskog Norrbottens planning process Eriksson, Mikael logistisk regression utbytesberäkning sortiment traktbank, indelningsregister This study in the subject of forest planning is made for Sveaskog and its aim is to develop tools that prognosticate outcome in terms of volumes per sort from not yet cut forest stands. The degree of detail is just to get reliable results for at least one months volumes, for Sveaskogs own forestland in the market region of Norrbotten that is about 100 000 m3fub. The course of action to accomplish this is regression analysis and the data consists of cut tracts on own forestland in Norrbotten during the years 2006, 2007 and 2008. That is a little more than 4 million m3fub. Two tools were made. One that uses planned tracts data (PT) for computation and one that uses the stand register data (BR). The PT-tool has the best precision of basically two obvious reasons. First PT is further in the supply chain and therefore closer to the answer, the industry measuring. Second, BR had some pretty serious practical issues attached to it at this time. An internal validation was made with all the data and it showed that the calculated total volume for PT was 0,2 % below the true volume and the same volume for BR was 4,7 % above. More detailed, roughly the PT-tool estimates all sorts but burning wood and GROT fair while the BR-tool estimates all sorts but pine and spruce timber poor. Finally, the aim of the study is reached because the tools are completed and the PT-tool shows promising results for practical use while the BR-tool right now can be tested but later be redone with better structured data. SLU/Dept. of Forest Resource Management 2010 H1 swe eng https://stud.epsilon.slu.se/942/ |
| spellingShingle | logistisk regression utbytesberäkning sortiment traktbank, indelningsregister Eriksson, Mikael Prognostisering av sortimentsutfall från stående skog med hjälp av befintliga data : anpassat till Sveaskog Norrbottens planeringsprocess |
| title | Prognostisering av sortimentsutfall från stående skog med hjälp av befintliga data
: anpassat till Sveaskog Norrbottens planeringsprocess |
| title_full | Prognostisering av sortimentsutfall från stående skog med hjälp av befintliga data
: anpassat till Sveaskog Norrbottens planeringsprocess |
| title_fullStr | Prognostisering av sortimentsutfall från stående skog med hjälp av befintliga data
: anpassat till Sveaskog Norrbottens planeringsprocess |
| title_full_unstemmed | Prognostisering av sortimentsutfall från stående skog med hjälp av befintliga data
: anpassat till Sveaskog Norrbottens planeringsprocess |
| title_short | Prognostisering av sortimentsutfall från stående skog med hjälp av befintliga data
: anpassat till Sveaskog Norrbottens planeringsprocess |
| title_sort | prognostisering av sortimentsutfall från stående skog med hjälp av befintliga data
: anpassat till sveaskog norrbottens planeringsprocess |
| topic | logistisk regression utbytesberäkning sortiment traktbank, indelningsregister |