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GRTSmh_diffres: the raster data source GRTSmaster_habitats converted to 9 hierarchical cell address levels at the corresponding lower resolution - MaRDI portal

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GRTSmh_diffres: the raster data source GRTSmaster_habitats converted to 9 hierarchical cell address levels at the corresponding lower resolution (Q6717948)

From MaRDI portal





Dataset published at Zenodo repository.
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English
GRTSmh_diffres: the raster data source GRTSmaster_habitats converted to 9 hierarchical cell address levels at the corresponding lower resolution
Dataset published at Zenodo repository.

    Statements

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    TheGRTSmh_diffresdata source file is a file collection, composed of nine monolayered GeoTIFF files of theINT4Sdatatype plus a GeoPackage with six polygon layers: The polygon layers in the GeoPackage are the dissolved, polygonized versions of levels 4 to 9 of theGRTSmh_brickdata source (link). This means that they provide the decimal (i.e. base 10) integer values of thesehigher hierarchical levelsof the GRTS cell addresses of the raw data sourceGRTSmaster_habitats(link). Hence, the polygons are typically squares that correspond to the GRTS cell at the specified hierarchical level. The polygon layer is however restricted to the non-NAcells of the originalGRTSmaster_habitatsraster. Consequently, a part of the polygons is clipped along the Flemish border. Levels 1 to 3 are not provided for the whole of Flanders, because this would inflate the GPKG file. You can look at thesource codeto do such things. The GeoTIFF files provide the respective levels 1 to 9 of theGRTSmh_brickdata source in a raster format, at the resolution that corresponds to the GRTS cell at the specified hierarchical level. The presence ofNAcells around Flanders at level 0 implies that, with decreasing resolution, the rasters extent increases and larger areas outside Flanders are covered by non-NAcells along the border. The higher-level ranking numbers (compared to the original level 0) allow spatially balanced samples at lower spatial resolution than that of 32 m, and can also be used for aggregation purposes. See R-code in the GitHub repositoryn2khab-preprocessing at commit ecadaf5for the creation from theGRTSmh_brickdata source. A reading function to return the data source in a standardized way into the R environmentis provided by the R-package n2khab. Beware that not all GRTS ranking numbers at the specified level are provided, as the original GRTS raster has been clipped with the Flemish outer borders (i.e., not excluding the Brussels Capital Region).
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    29 July 2019
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    GRTSmh_diffres_v1
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    Identifiers

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