Leip, Adrian; Koeble, Renate; Reuter, Hannes; Lamboni, Matieyendou (2016): Homogeneous Spatial Units (HSU) - a Pan-European geographical basis for environmental and socio-economic modelling [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.860284, Supplement to: Leip, A et al. (in prep.): Homogeneous Spatial Units (HSU) - a Pan-European geographical basis for environmental and socio-economic modelling. Scientific Data
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Abstract:
The spatial data set delineates areas with similar environmental properties regarding soil, terrain morphology, climate and affiliation to the same administrative unit (NUTS3 or comparable units in size) at a minimum pixel size of 1km2. The scope of developing this data set is to provide a link between spatial environmental information (e.g. soil properties) and statistical data (e.g. crop distribution) available at administrative level. Impact assessment of agricultural management on emissions of pollutants or radiative active gases, or analysis regarding the influence of agricultural management on the supply of ecosystem services, require the proper spatial coincidence of the driving factors. The HSU data set provides e.g. the link between the agro-economic model CAPRI and biophysical assessment of environmental impacts (updating previously spatial units, Leip et al. 2008), for the analysis of policy scenarios. Recently, a statistical model to disaggregate crop information available from regional statistics to the HSU has been developed (Lamboni et al. 2016). The HSU data set consists of the spatial layers provided in vector and raster format as well as attribute tables with information on the properties of the HSU. All input data for the delineation the HSU is publicly available. For some parameters the attribute tables provide the link between the HSU data set and e.g. the soil map(s) rather than the data itself. The HSU data set is closely linked the USCIE data set.
Related to:
Lamboni, Matieyendou; Koeble, Renate; Leip, Adrian (2016): Multi-scale land-use disaggregation modelling: Concept and application to EU countries. Environmental Modelling & Software, 82, 183-217, https://doi.org/10.1016/j.envsoft.2016.04.028
Leip, Adrian; Marchi, Lorenzo; Koeble, Renate; Kempen, M; Britz, W; Li, C (2008): Linking an economic model for European agriculture with a mechanistic model to estimate nitrogen and carbon losses from arable soils in Europe. Biogeosciences, 5(1), 73-94, https://doi.org/10.5194/bg-5-73-2008
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Koeble, Renate | |||
| 2 | File name | File name | Koeble, Renate | |||
| 3 | File size | File size | kByte | Koeble, Renate | ||
| 4 | Uniform resource locator/link to file | URL file | Koeble, Renate |
License:
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC-BY-NC-SA-3.0)
Size:
48 data points