Open Source Data and Methods: A tutorial using OSM data with QGIS for location analysis

This tutorial illustrates the huge potential offered by the crowd-sourced data model, underlines its flaws and demonstrates methods for overcoming issues of quality and inconsistency. This tutorial will show you what a crowd-sourced geographic dataset looks like, and illustrates its potential. In the homework you will contribute to the Open Street Map (OSM), the largest crowd-sourced map project on Earth, by uploading real data for the benefit of yourself and anyone around the world.\ud This tutorial is available from the Elogeo repository and can be found by searching for it here: http://elogeo.nottingham.ac.uk/xmlui. Up-to-date versions, including input data are here: https://dl.dropboxusercontent.com/u/15008199/osm-challenge-public.zip \ud \ud Please send any comments/suggestions to rob00x@gmail.com or http://robinlovelace.netIntermediate