EcoDRR global classification scheme based on spatial combination of ecosystem coverage and natural hazard physical exposure.

The physical exposure data-set shows the product of hazard frequency and people exposed to this hazard in the same 100 square kilometer cell.

For a specific natural hazard, a 0.01 degree resolution raster is generated, showing hazard annual frequency weighted with portion of pixel potentially affected.

The population raster has the same resolution and represents the absolute number of inhabitants in a 0.01 degree cell.

The physical exposure in a 100 km2 grid cell is the sum of the included physical exposure raster cells.

Sources:

Tsunami frequency. It is based on two sources: 1) A comprehensive list of reports and scientific papers compiled and utilized in producing tsunami hazard maps as well as finding return periods of future events. 2) Applying numerical tsunami models and zooming on selected areas. Unit is expected affected percentage of each pixel over a minimum return period of 500 years.

This product was designed by International Centre for Geohazards /NGI for the Global Assessment Report on Risk Reduction (GAR). It was modeled using global data. Credit: GIS processing International Centre for Geohazards /NGI.

GHS Population GRID. The spatial raster dataset depicts the distribution of population, expressed as the number of people per cell. Residential population estimates for target years 1975, 1990, 2000 and 2015 provided by CIESIN GPWv4.10 were disaggregated from census or administrative units to grid cells, informed by the distribution and density of built-up as mapped in the Global Human Settlement Layer (GHSL) global layer per corresponding epoch.

Credit: European Commission, Joint Research Centre; Columbia University, Center for International Earth Science Information Network (2015): GHS-POP R2015A - GHS population grid, derived from GPW4, multitemporal (1975, 1990, 2000, 2015). European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/jrc-ghsl-ghs_pop_gpw4_globe_r2015a