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. 2018 Mar 20;5:180034. doi: 10.1038/sdata.2018.34

Table 2. Statistical mapping of CORINE land-cover classes to LUCAS land-use classes, derived from 2015 LUCAS raw data and the 2012 CORINE dataset.

LUCAS class CORINE class
             
  1.1.1 Continuous urban fabric 1.1.2 Discontinuous urban fabric 1.2.1 Industrial or commercial units 1.2.2 Road and rail net- works 1.2.3 Port areas 1.2.4 Airports 1.4.1 Green urban areas 1.4.2 Sport and leisure facilities
The table shows the observed frequency at which the considered CORINE land-cover classes coincide with those LUCAS land-use classes that we use for damage estimation.Statistically, these frequencies correspond to an average share of a CORINE cell that can attributed to a certain land-use class and are hence used as weights wij in Equation (1). The considered share defines the overall fraction of a land-cover class that can be statistically attributed to the relevant land-use classes. E.g. “Discontinuous urban fabric” corresponds to 22% Agriculture, 1% Industry, 14% Transport, 2% Commerce, 41% Residential, and 7% Unused, accounting for 87% of the total area on average.                
U110 Agriculture 0.04 0.22 0.11 0.19 0.01 0.09 0.09 0.15
U220 Industry 0.00 0.01 0.13 0.02 0.10 0.00 0.00 0.00
U310 Transport 0.20 0.14 0.25 0.44 0.53 0.66 0.13 0.09
U340 Commerce 0.05 0.02 0.11 0.02 0.06 0.00 0.02 0.02
U370 Residential 0.49 0.41 0.07 0.01 0.07 0.01 0.14 0.12
U400 Unused 0.05 0.07 0.13 0.20 0.14 0.07 0.11 0.11
Considered share (all of the above) 0.83 0.87 0.80 0.87 0.90 0.84 0.49 0.49