Internal enhancements and improvements: Improve default datasets

[amyburness]

Improve default datasets by making CHIRPS data available to users for national reporting drought hazard (SO3-1), allowing users to import national population data for use in SO2-3/SO3-2 indicators.

[amyburness]

Notes from UR meetings:

• @gabrieldaldegan hve the standardised precipitation index CHIRPS Data set as an alternative that must be incorporated as a default data set.
• We must allow users to use custom data sets stored locally (Nationalion data)
• These national data sets have to be processed locally and not in the cloud for the security of the data.
• We validate the custom data sets -> validation (document data standard with a validation message if incorrect)
• We may need to standardise the file type for custom data and document that.
• The national data for population will likely be census data and may come in different formats we will need to think about how it incorporates this. the data may not even be geospatial data.
• Currently, the default offered is graded world pop data.
• @azvoleff has the CHIRPS data and that has gone through some analysis to make it analysis ready.

[amyburness]

If they choose CHIRPS then there is a disclaimer saying it is not global. 50 north 50 south.
national level- the user will need to preprocess the data set e.g. population rasterise the data.
-land cover
-land productivity

[amyburness]

@dimasciput I think the tasks can be broken down as follows

• incorporate CHIRPS data set (with non-global disclaimer)
• Allows users to incorporate population raster dataset (land cover and productivity)

[gdaldegan]

as discussed during our latest spring check in, Alex is facing some issues to process the finer spatial resolution SPI and SPEI using CHIRPS data. @azvoleff , please update Kartoza once the processing is done. Thanks!