kartoza / GEEST

Gender Enabling Environments Spatial Tool (GEEST)
https://worldbank.github.io/GEEST/
MIT License
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Factor: FCV - ACLED data (Violence Estimated Events) #55

Open amyburness opened 1 week ago

amyburness commented 1 week ago

This indicator should be structured by assigning scores to rasters based on their overlap with buffers indicating different types of events. Using point locations of FCV events, generate circular buffers with a radius of 5 km to estimate the spatial impact of these events. If the impact radius of an event is known, it should be used instead. Any raster intersecting with the buffer should be scored as follows: • Rasters overlapping with buffers indicating battles and explosions: score 0 • Rasters overlapping with buffers indicating explosions and remote violence: score 1 • Rasters overlapping with buffers indicating violence against civilians: score 2 • Rasters overlapping with buffers indicating protests and riots: score 4 • Areas that do not overlap with any event: score 5

Adjustments are needed as it is currently evaluated differently.

WB team will provide the ACLED data for St Lucia