This folder contains the code to setup the Web Processing Service (WPS) for a preliminary comparison of the OpenStreetMap (OSM) and authoritative (hereafter REF) road network datasets. This corresponds to the Step 1 of the procedure described in the folder GRASS-scripts. In brief, the WPS allows to import customized road datasets from OSM and an authoritative source and returns some measures of their spatial similarity in a PDF file.
A demo of the WPS is available here.
Road network datasets must (for REF) and can (for OSM) be uploaded as a compressed ESRI shapfile. Click the Browse button, select the .zip file from your system and adjust its color using the Layer Color selector. You have also to enter the reference system of the dataset.
The OSM road network dataset can be also retrieved using the Overpass API by clicking the Retrieve OSM data button. This will retrieve OSM data for the current map view; alternatively, hold down the shift key, draw a rectangle on the map view and then click the Selection Retrieve button.
When at least two datasets have been uploaded, click the Compare menu button.
This will open a menu where you can specify the buffer width for the comparison, the datasets to be used as REF and OSM and (optionally) the mask for clipping the previous datasets - to be previously uploaded again as a compressed ESRI shapefile. Then click the Start comparison button to run the algorithm and download some statistics on the similarity between the datasets in a PDF file.
To start using the tool it is required to insert the GRASS script in its location:
/usr/lib/grass/scriptThen for PyWPS we need as well the Python process, located in:
/usr/local/wps/processesTo ensure the process to work we have to set some locations in our scripts.
Inside the file osm.py at line 14 you have to define a GRASS location that must already have been created by GRASS:
grassLocation ="/home/user/grassdata/location"
In the v.osm.precomp at line 71 you should define the location of the HOME folder:
os.environ['HOME'] = "/home/user/"
and then at line 191 the Python location inside GRASS:
sys.path.append("/usr/lib/grass70/etc/python/")