Indicator: Territorial coping capacity to natural hazards

Composite indicator obtained with multivariate statistical techniques. Source indicators are: natural population change; migration rate; tertiary educational attainment; R&D expenditure; R&D personnel and researchers; patent applications to the EPO; social capital; risk perception; hospital beds; practising physicians; GDP per inhabitant; professional, scientific and technical employments; spatial distribution of green infrastructure; potential green infrastructure network for Climate Change and Disaster Risk Reduction policies; gender equality index; quality of government index; municipalities signatories to the Covenant of Majors.
The indicators are analysed using PCA, obtaining 14 factors.
The indicators' weighting is performed using the factor loadings table after varimax rotation. The square factor loadings are calculated; then these values are divided by the proportion of variance explained by each factor; subsequently intra-factor weighted loads are divided by the proportion of variance explained by each factor in relation to the total cumulative variance; then, the weight of the indicators is computed based on the factor loadings across all factors; finally the geometric aggregation of the indicators is calculated.
These are the sources and the preliminary processing of the source indicators:
Natural population change: NATGROWRT indicator from the Eurostat demo_r_gind3 dataset; The data has been retrieved at NUTS3 level, if any value is missing it is filled with median value, and it is finally scaled between 1 and 2.
Migration rate: CNMIGRATRT indicator from the Eurostat demo_r_gind3 dataset; The data has been retrieved at NUTS3 level, if any value is missing it is filled with median value, and it is finally scaled between 1 and 2.
Tertiary educational attainment: Eurostat tgs00109 dataset; The data has been retrieved at NUTS2 level, if any value is missing it is filled with median value, and it is finally scaled between 1 and 2.
R&D expenditure: Eurostat rd_e_gerdreg dataset; The data has been retrieved at NUTS2 level, missing values are firstly filled with NUTS1 level data, and the with NUTS0 level, if any value is still missing it is filled with median value, and it is finally scaled between 1 and 2.
R&D personnel and researchers: Eurostat rd_p_persreg dataset; The data has been retrieved at NUTS2 level, missing values are firstly filled with NUTS1 level data, and the with NUTS0 level, if any value is still missing it is filled with median value, and it is finally scaled between 1 and 2.
Patent applications to the EPO: Eurostat pat_ep_ripc dataset; The data has been retrieved at NUTS3 level, missing values are firstly filled with NUTS1 level data, and the with NUTS0 level, if any value is still missing it is filled with median value, and it is finally scaled between 1 and 2.
Social capital: Eurostat Special Eurobarometer '223 Social Capital'
Risk perception: Eurostat Special Eurobarometer '501 Attitudes of European citizens towards the Environment' and Standard Eurobarometer
Hospital beds: Eurostat tgs00064 dataset; The data has been retrieved at NUTS2 level, missing values are firstly filled with NUTS0 level data, if any value is still missing it is filled with median value, and it is finally scaled between 1 and 2
Practising physicians: Eurostat tgs00062 dataset; The data has been retrieved at NUTS2 level, missing values are firstly filled with NUTS0 level data, if any value is still missing it is filled with median value, and it is finally scaled between 1 and 2.
GDP per inhabitant: Eurostat nama_10r_3gdp dataset; The data has been retrieved at NUTS3 level, missing values are firstly filled with NUTS0 level data, if any value is still missing it is filled with median value, and it is finally scaled between 1 and 2.
Professional, scientific and technical employments: Eurostat nama_10r_3empers dataset; The data has been retrieved at NUTS3 level, missing values are firstly filled with NUTS0 level data, if any value is still missing it is filled with median value, and it is finally scaled between 1 and 2
Spatial distribution of green infrastructure: ESPON GRETA project; The data has been retrieved at NUTS3/2 level, if any value is still missing it is filled with median value, and it is finally scaled between 1 and 2.
Potential green infrastructure network for Climate Change and Disaster Risk Reduction policies: ESPON GRETA project; The data has been retrieved at NUTS3/2 level, if any value is still missing it is filled with median value, and it is finally scaled between 1 and 2.
Gender equality index: European Institute for Gender Equality (EIGE); The data has been retrieved at NUTS0 level, if any value is still missing it is filled with median value, and it is finally scaled between 1 and 2.
Quality of government index: ESPON ETRF project; The data has been retrieved at NUTS2 level, if any value is still missing it is filled with median value, and it is finally scaled between 1 and 2.
Municipalities signatories to the Covenant of Majors: ESPON GREECO project; The data has been retrieved at NUTS2 level, if any value is still missing it is filled with median value, and it is finally scaled between 1 and 2