Datasets (47)

Showing results 21 to 40

  • COLLECTIONS LUISA
  • KEYWORDS FUA
Last updated: | Recent visits: 2
UI - Concentration of NO2 (LUISA Platform REF2014)

To simulate NO2 and PM10 at very high resolution (100 m), a Land Use Regression model (LUR) was built using pollutant concentrations for 2010 from monitoring sites as dependent variable and several other parameters (independent variables) were defined within a...

Last updated: | Recent visits: 6
UI - Concentration of PM10 (LUISA Platform REF2014)

Land Use Regression mode (LUR), were used to simulate PM10 concentrations at very high resolution (100m) built using pollutant concentrations for 2010 from monitoring sites as dependent variable, and several parameters (independent variables) defined within a ...

Last updated: | Recent visits: 3
UI - Urban Proportion (LUISA Platform REF2014)

Urban population proportion. Proportion of the population living in Local Administrative Units - 2 (LAU2s) classified as cities, towns and suburbs. Classification of LAU2s as cities, towns and suburbs is based on the LUISA degree of urbanization projections. T...

Last updated: | Recent visits: 12
UI - Population weighted density (LUISA Platform REF2014)

Population weighted density refers to a metric which measures the density at which the average citizen lives. It is calculated by taking weighted average of the density of all parcels of land that make up a city, with each parcel weighted by its population (us...

Last updated: | Recent visits: 6
UI - Annual Land Take (LUISA Platform REF2014)

Build-up areas cover the land classified as urban, industrial and abandoned urban and industrial. Annual land take means the total land taken by built-up areas in a yearly basis, in other words the annual amount of change in built-up areas, within a specific p...

Last updated: | Recent visits: 4
UI - Urban Flood Risk (LUISA Platform REF2014)

A composite indicator reflecting the relative flood risk within urban areas by taking into account the natural exposure (predicted flooded area and mean depth), and the sensitivity of the city to flooding (population and infrastructure affected).