Factor: FCV - ACLED data (Violence Estimated Events)

[amyburness]

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

[amyburness]

@osundwajeff Please can you size this ticket? @mvmaltitz mentioned this is one of your tasks for the rest of the sprint.

Please note that Tim and I have made tickets for all of the factors based on the spreadsheet. Please go through them and report back if any are missing (I have taken a look too) and then work and comment in the premade tickets. If needed make child tickets.

We will go through and size the tickets at each sprint when we decide on the tasks for the week.

[osundwajeff]

Hi @ClaraIV is there any more information you would like to add on this ticket?

[osundwajeff]

Hi @dragosgontariu, @carolinamayh , @ClaraIV the ACLED data is in csv format. I wanted to confirm with you if this factor would use the csv as an input or it will use the ACLED as a shapefile?

[ClaraIV]

hi Jeff,

Good question, I guess it would be good to have the input as .csv, given that every export from ACLED is csv format.

Thanks for checking with us, Clara

On Mon, 22 Jul 2024 at 03:42, Osundwa Jeff @.***> wrote:

Hi @dragosgontariu https://github.com/dragosgontariu, @carolinamayh https://github.com/carolinamayh , @ClaraIV https://github.com/ClaraIV the ACLED data is in csv format. I wanted to confirm with you if this factor would use the csv as an input or it will use the ACLED as a shapefile?

— Reply to this email directly, view it on GitHub https://github.com/kartoza/GEEST/issues/55#issuecomment-2242296709, or unsubscribe https://github.com/notifications/unsubscribe-auth/ACHU3HL7BLQBNN32WHI6423ZNSZUTAVCNFSM6AAAAABJV7C2UGVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDENBSGI4TMNZQHE . You are receiving this because you were mentioned.Message ID: @.***>

[osundwajeff]

Hi @ClaraIV, I wanted to confirm which specific rasters are these that will overlap with the buffers? I'd really appreciate if you can provide more context on that.

[ClaraIV]

hi @osundwajeff thanks for raising this issue; I think we didnt explain properly, apologies for that. what we mean is raster cells. We need to create a raster with cell values from 0-5, where the cells that intersect any of the buffers from the events, take the score as per the table below. If a cell intersect more types of events, it will take the score of the more serious event, as in the classification below.

5km buffer from event points

• Raster cells overlapping with buffers indicating battles and explosions: score 0 • Raster cells overlapping with buffers indicating explosions and remote violence: score 1 • Raster cells overlapping with buffers indicating violence against civilians: score 2 • Raster cells overlapping with buffers indicating protests and riots: score 4 • Raster cells that do not overlap with any event: score 5

Please let me know if everything is clear, or you have more questions - thanks!

[osundwajeff]

Thanks @ClaraIV. I think I now understand it well enough. If I have any further questions I'll just ask.

[dragosgontariu]

error encountered:

Traceback (most recent call last): File "fiona_shim.pyx", line 83, in fiona._shim.gdal_open_vector File "fiona_err.pyx", line 291, in fiona._err.exc_wrap_pointer fiona._err.CPLE_OpenFailedError: D:/Munca/WB/Geest/St_Lucia/Testing/07082024/temp/acled.shp: No such file or directory

         During handling of the above exception, another exception occurred:

         Traceback (most recent call last):
          File "C:\Users/Dragos/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\gender_indicator_tool\gender_indicator_tool.py", line 345, in 
          self.dlg.FCV_Execute_PB.clicked.connect(lambda: self.Rasterize(6))
          File "C:\Users/Dragos/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\gender_indicator_tool\gender_indicator_tool.py", line 1272, in Rasterize
          self.convertCRS(csvFileLayer, UTM_crs)
          File "C:\Users/Dragos/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\gender_indicator_tool\gender_indicator_tool.py", line 607, in convertCRS
          shp = gpd.read_file(vector)
          File "C:\Users\Dragos\AppData\Roaming\Python\Python39\site-packages\geopandas\io\file.py", line 289, in _read_file
          return _read_file_fiona(
          File "C:\Users\Dragos\AppData\Roaming\Python\Python39\site-packages\geopandas\io\file.py", line 315, in _read_file_fiona
          with reader(path_or_bytes, **kwargs) as features:
          File "C:\Users\Dragos\AppData\Roaming\Python\Python39\site-packages\fiona\env.py", line 408, in wrapper
          return f(*args, **kwargs)
          File "C:\Users\Dragos\AppData\Roaming\Python\Python39\site-packages\fiona\__init__.py", line 286, in open
          c = Collection(path, mode, driver=driver, encoding=encoding,
          File "C:\Users\Dragos\AppData\Roaming\Python\Python39\site-packages\fiona\collection.py", line 162, in __init__
          self.session.start(self, **kwargs)
          File "fiona\ogrext.pyx", line 540, in fiona.ogrext.Session.start
          File "fiona\_shim.pyx", line 90, in fiona._shim.gdal_open_vector
         fiona.errors.DriverError: D:/Munca/WB/Geest/St_Lucia/Testing/07082024/temp/acled.shp: No such file or directory

@osundwajeff @mvmaltitz

[mvmaltitz]

FCV Result:

@dragosgontariu

[bennyistanto]

Similar to Active Transport, I managed to test using Tunisia data, unfortunately the FCV failed without any error information, it just Not Responding (see attached picture below) after I clicked the Execute button and the label "Processing..." appear. I have tried it on two machines with the same result.

Data for test: FCV_Tunisia.csv

[osundwajeff]

Hi @bennyistanto Can you assist me with FCV data for Fiji, I have modified a couple of things on FCv and I need to test using that dataset

[dragosgontariu]

Hi @osundwajeff Below you can find FCV data for Fiji 2019-09-01-2024-09-01-Fiji.csv

[osundwajeff]

Hi @dragosgontariu Thanks.