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AIFDR / riab

Risk in a Box - main project
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Deaggregate population impact models by gender by default #156

Closed uniomni closed 13 years ago

uniomni commented 13 years ago

This is a key measure and when available should be used. First cab off the rank are models using Podes data.

uniomni commented 13 years ago

The plan is to have two raster datasets - one with population numbers and the other with percentage of females. They can be linked using the keywords of the main layer: For example associates: podes_female_yogya

Then the associated layer(s) can be added to list passed on to the plugin

This functionality generalises to other layer collections such as multi-model ground acceleration datasets.

To achieve this we need

To access keywords from within the plugin. This is currently not possible because they are not stored in a keywords file when the layer is downloaded. This is issue #164

Then we need to equip the plugin with calculation of number of people affected - ideally this should be scale by native raster resolution, but we can perhaps assume 1 x 1 km for now. Issue #168

Using the gender layer, this statistics can the be broken up into males and females

uniomni commented 13 years ago

This requires handling of multiple datasets: issue #178