raw data input

[jome1]

I am trying to use the GeoH2-data-prep tool. Some input data is missing or not clear which data where to put. Below you can find a table where I map the input data with the line of code in spatial_data_prep.py. For the "???" data input is not clear:

• Which file do I need to download from OSM? There are three different file formats: .osm.pbf | .shp.zip | .osm.bz2 In my case I would only download one country.
• Where to put the OSM file?
• Can you please add the protected classes dataset? THX!

data	link from github page	name of downloaded file	line in code of spatial_data_prep.py
The global oceans and seas geopackage can be downloaded from:	https://www.marineregions.org/downloads.php	GOaS_v1_20211214_gpkg	oceanPath = os.path.join(data_path, "GOaS_v1_20211214_gpkg", "goas_v01.gpkg")
The country boundaries shapefile can be downloaded from:	https://www.naturalearthdata.com/downloads/50m-cultural-vectors/50m-admin-0-countries-2/	ne_50m_admin_0_countries	regionPath = os.path.join(data_path, 'ne_50m_admin_0_countries', 'ne_50m_admin_0_countries.shp')
OpenStreetMap layers can be downloaded from:	https://download.geofabrik.de/africa.html	???	???
The Corine Land Cover dataset can be downloaded from:	https://zenodo.org/records/3939050	PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif	clcRasterPath = os.path.join(data_path, "PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif")
The protected classes dataset can be downloaded from:	???	???	protectedAreaPath = os.path.join(data_path, 'Africa_protect_class_1.geojson')

[alycialeonard]

Thanks for asking about this! Changes to address these questions have been pushed to main. Answers below:

• Which file do I need to download from OSM? There are three different file formats: .osm.pbf | .shp.zip | .osm.bz2 - You need to download and extract the Shapefiles (.shp.zip). This is now indicated in the ReadMe.
• In my case I would only download one country. That's fine! Just add one country name to the country list in the files as indicated n the ReadMe.
• Where to put the OSM file? _Please extract them into a folder called 'OSM/[CountryName]' under 'Raw_SpatialData'. This is now indicated in the ReadMe.
• Can you please add the protected classes dataset? This was generated using OpenStreetMap files for a specific research case. To keep things simpler for off-the-shelf use, we have removed this dataset for now. Please do feel free to add additional Corine Land Cover classes to workflow.py in order to protect additional types of area.

[alycialeonard]

Just for clarity as well, you can now see the usage of the OSM data more clearly (i.e., in OSM_path in spatial_data_prep.py)