Update README.md

GRASS-scripts/README.md

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 # GRASS scripts
-This folder contains 3 Python modules for [GRASS GIS](https://grass.osgeo.org/) aimed at performing a geometrical comparison between two road network datasets: one from the [OpenStreetMap (OSM)](http://openstreetmap.org) project and one from an authoritative source:
-* [v.osm.precomp](https://github.com/MoniaMolinari/OSM-roads-comparison/blob/master/GRASS-scripts/v.osm.precomp) (Step 1) performs a preliminary comparison of the two datasets, computes global statistics and performs a sensitivity analysis to help users choosing a suitable value of the buffer parameter, which is key in Step 2
-* [v.osm.preproc](https://github.com/MoniaMolinari/OSM-roads-comparison/blob/master/GRASS-scripts/v.osm.preproc) (Step 2) performs a geometric preprocessing of the OSM road network dataset to extract its subset representing the same road features of the authoritative dataset
-* [v.osm.acc](https://github.com/MoniaMolinari/OSM-roads-comparison/blob/master/GRASS-scripts/v.osm.acc) (Step 3) evaluates the spatial accuracy of the OSM subset extracted in Step 2 using a grid-based approach 
+This folder contains, in the corresponding folders, three Python modules for [GRASS GIS](https://grass.osgeo.org/) aimed at performing a geometrical comparison between two road network datasets: one from the [OpenStreetMap (OSM)](http://openstreetmap.org) project and one from an authoritative source:
+* [v.osm.precomp](https://github.com/MoniaMolinari/OSM-roads-comparison/tree/master/GRASS-scripts/v.osm.precomp) (Step 1) performs a preliminary comparison of the two datasets, computes global statistics and performs a sensitivity analysis to help users choosing a suitable value of the buffer parameter, which is key in Step 2
+* [v.osm.preproc](https://github.com/MoniaMolinari/OSM-roads-comparison/tree/master/GRASS-scripts/v.osm.preproc) (Step 2) performs a geometric preprocessing of the OSM road network dataset to extract its subset representing the same road features of the authoritative dataset
+* [v.osm.acc](https://github.com/MoniaMolinari/OSM-roads-comparison/tree/master/GRASS-scripts/v.osm.acc) (Step 3) evaluates the spatial accuracy of the OSM subset extracted in Step 2 using a grid-based approach 
 
 The modules are independent, however users are suggested to apply them subsequently to maximize the effectiveness of the procedure.
+**NOTE**: current versions are tested in GRASS GIS 7.1 (development version) and NOT in previous releases. Authors will update the modules as soon as the next stable release will come out.
 
 ## Installation
-We will soon post the installation instructions here.
+* Copy the three folders in the 'scripts' folder, which is inside the GRASS source code folder
+* Open a terminal window, 'cd' to each of the three folders and type:
+  '''sh
+  make
+  make install
+  '''
 
 ## Related academic publications
 * Brovelli M. A., Minghini M., Molinari M. & Mooney P. (2015) A FOSS4G-based procedure to compare OpenStreetMap and authoritative road network datasets. *Geomatics Workbooks* 12, pp. 235-238, ISSN 1591-092X [[pdf](http://geomatica.como.polimi.it/workbooks/n12/FOSS4G-eu15_submission_70.pdf)]