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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.

2023

Sammendrag

Denne rapporten gjør rede for metoder brukt for å fremstille temakart for framskrivninger av klima i Tønsberg og Drammen for perioden 2040-2070. Kartene skal gjøres tilgjengelige i kommunenes kartportaler. Temakartene går inn i en større leveranse av temakart over arealdekkets rolle i arbeidet med klimatilpasning, samt klimagassutslipp fra arealbruk og arealbruksendringer for Tønsberg og Drammen kommune. Oppdragene er finansiert med Klimasats-ordningen til Miljødirektoratet.

Sammendrag

Vi har kartlagt arbeidskraftbehovet til grøntprodusenter i Norge gjennom intervju og gjennom en spørreundersøkelse som ble utført i mars 2022. Målsettingen har vært å undersøke hvordan arbeidskraftbehovet til grøntsektoren kan sikres. Spørreundersøkelsen ble gjennomført i etterkant av to år med innreisebegrensninger under covid19-pandemien. Konsekvenser av covid19-pandemien (2020/2021) er derfor også kartlagt i spørreundersøkelsen.

Til dokument

Sammendrag

Over three years, motivations of participants in a neighbourhood garden seemed to reflect the development of the garden from the start-up phase, through consolidation, until a state where further existence requires transitions in responsibility and funding.

Sammendrag

In Norway we now get more up-to-date maps for land resource map (AR5), because the domain experts on agriculture in the municipalities in Norway have got access to a easy to use client. This system includes a simple web browser client and a database built on Postgis Topology. In this talk we will focus on, what is it with Postgis Topology that makes it easier to build user friendly and secure tools for updating of land resource maps like AR5. We will also say a couple of words about advantages related to traceability and data security, when using Postgis Topology. In another project, where we do a lot ST_Intersection and ST_Diff on many big Simple Feature layers that covers all of Norway, we have been struggling with Topology exceptions, wrong results and performance for years. Last two years we also tested JTS OverlayNG, but we still had problems. This year we are switching to Postgis Topology and tests so far are very promising. We also take a glance on this project here in this talk. A Postgis Topology database modell has normalised the data related to borders and surfaces as opposed to Simple Feature where this is not the case. Simple Feature database modell may be compared to not using foreign keys between students and classes in a database model, but just using a standard spreadsheet model where each student name are duplicated in each class they attend. URL’s that relate this talk https://gitlab.com/nibioopensource/pgtopo_update_gui https://gitlab.com/nibioopensource/pgtopo_update_rest https://gitlab.com/nibioopensource/pgtopo_update_sql https://gitlab.com/nibioopensource/resolve-overlap-and-gap

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Sammendrag

The objective of this study is to identify the needs related to geospatial LC, LU, and LCLUC information for spatial planning in Poland and Norway, and examine the usefulness of CLMS products in the context of these planning systems. The research has conducted based on a comparative analysis of two planning systems, to indicate areas where CLMS can improve or supplement national spatial data. The study shows that CLMS can provide information on up-to-date spatial data showing actual LC/LU/LCLUC, but that the degree of detail and the accuracy may be insufficient. CLMS data is harmonised across Europe and thus meets the need expressed by international organisations, for data that are consistent at a continental level. This is not a requirement in national planning systems in Poland and Norway, where the needs are regulated by national legislation. The thematic and geometric accuracy of national data sources are usually better than the data provided by CLMS, but CLMS might fill gaps when specific topics are missing in national mapping programs.