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Publikasjoner

NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.

1999

Sammendrag

The article presents a mapping system describing agricultural resources in scales ranging from 1:100.000 down to 1:300.000, with respect to a prototype covering an area of Nord-Gudbrandsdalen district. The maps cover all Norwegian land types grouped into 13 classes.Ancillary data is widely used and the area where new interpretation is needed was thus limited to dry land above the tree line. The land type of these areas was interpreted from Landsat TM images. Maps produced with this system offer a coherent overview of the landscape and land types for large areas. Land type statistics from these small-scale maps is only recommended when the claim of accuracy is low and statistical bias is acceptable. Use of the maps for regional and agricultural planning as well as for environmental impact assessment is discussed.

Sammendrag

DNA-analyser viser at den gamle norske lokalsorten "Asker" er identisk med den tyske lokalsorten "Winkler Sämling". Begge sortene er brukt i sortsforedling som kilde for rotråtesesistens, og en bør være oppmerksom på at er identiske og ikke representerer to ulike kilder for resistens.

Sammendrag

The paper describes an operational method for automatic map generalisation. Operational methods are often pragmatic in nature and only works well in special cases. General methods need to be founded on solid knowledge based on understanding of the map generalisation process as performed by expert cartographers. Today, much research in the area is concentrated on knowledge-based systems, and the research is directed on formalising generalisation knowledge. NIJOS has developed a pragmatic map generalisation method to generalise land-type maps from working scale 1:5000 to a working scale in the range 1:100.000–1:300.000. The method involves both attribute and geometric generalisation. The former was simple to implement in a database query language; the latter was more complex. A method based on deviding classes into separate thematic layers followed by a series of expansion and shrinkage operations was developed. The separate layers were later combined in a predefined and prioritised order. Important control factors were minimum area and minimum width. Both the size and the display time were greatly reduced. The method was successful in removing small areas, however, it was not 100% successful in removing narrow bridges and gaps.