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For each municipal region, the intersecting raster cells are identified.
Raster cells are split along these delineations, with any undesirably small zones created by this process re-merged with neighbors in the same municipality.
While regular raster cells are very efficient for certain spatial analysis, including Cellular Automata, they are inefficient for transport modeling and other computing-intensive analyses dealing with complicated zonal interactions [4, 5].
Raster cells are assigned to stocks and ownership is exchanged between them throughout the simulation.
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The minimum input raster cells were created at a 100x100m resolution.
Firstly, the allocation of employment to raster cells is weighted by land use instead of by area percentage.
For the metal concentrations in moss, the median for each of the EMEP raster cells was used for the correlation analysis.
In splitting and merging raster cells along municipal boundaries, the homogeneous square geometry across all raster cells is forfeited, and any generated zone system should still be checked for reasonableness by the analyst.
The size of the raster cells is 250 m × 250 m.
In order to assign the derived values to districts, an area weighted mean based on the spatial overlap between district polygon and raster cells was calculated.
Within a four-sector searching window, the ten sites nearest to each raster cell were used to perform the surface estimations in each case.
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CEO of Professional Science Editing for Scientists @ prosciediting.com