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A more automated reporting?
Copenhagen 17–18 November Conny Jacobson, Swedish Environmental Protection Agency Naturvårdsverket | Swedish Environmental Protection Agency
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Species distribution A grid cell layer, with the grids representing Canis lupus (wolf)
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Habitat distribution A multi-polygon layer, with the polygons representing 1110 (sandbanks) highlighted
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The INSPIRE Directive Infrastructure for Spatial Information in the European Community
Standards to describe and share spatial data… For environmental data A timeframe for implementation Detailed data specifications for each ”theme”, for example for species or habitat distribution, protected areas… Decisions in ”Implementing rules” for Data Specifications, Metadata, Network Services, Data and Service Sharing and Monitoring and Reporting (on the INSPIRE implementation). Naturvårdsverket | Swedish Environmental Protection Agency
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Online services for Swedish data on species and habitat distributions
Accessible online for everyone GIS data, taken from the Art. 17 reporting WMS and WFS services, by Inspire specifications To follow specifications, adjustments were needed, for example field names: <N2K_name> <ReferenceHabitatTypeName> added field: <beginLifeSpanVersion>… and more. Naturvårdsverket | Swedish Environmental Protection Agency
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Technical difference Between the habitat distribution dataset and the species distribution dataset The difference between the two datasets, and the Inspire schemes, is that the Species Distribution must be transformed from a multi polygon representation to a grid cell representation. In the grid cell approach, every species in the Species Distribution data set is represented by a number of records that connects it to its grid cells. As there are many species in the same grid cell the identical grid cell occurs in the data set as new records many times. Sometimes the grid cell has more than a hundred records in the layer. This makes the dataset a lot bigger than the multi polygon approach where every species has one record in the layer that is a multipolygon.
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