Training Material for UN Open GIS OpenData
Introduction
Scope
The following educational material has been drafted within the framework of the OSGeo UN Committee Educational Challenge - Open Geospatial Data and software for UN sustainable development goals. The overarching goal is to show that at this time, the combination of open (geo)data globally available and the significant developments of the free and open source solutions for geospatial is sufficient to initiate geospatial analysis, at worldwide level, at small and intermediate scales, to better understand our ecosystem. In that respect, we have employed OSGeo software solutions to process global open geospatial datasets to answer one selected indicator for a sustainable development goal. The selected indicator is 9.1.1 Proportion of the rural population who live within 2 km of an all-season road (C0901010) which supports the target of developing quality, reliable, sustainable and resilient infrastructure, including regional and transborder infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all. The indicator has been chosen after a close analysis of all SGDs and the corresponding indicators as to comply with the following: (1) to have a spatial dimension; (2) to not be an indicator that is already addressed through another initiative, such as the GEO Wetlands Initiative, WHO Interactive Air Pollution Maps, GEO AquaWatch, ESA CoastColour etc.; (3) if possible, to not be yet the subject of a published methodology.
Audience
We have prepared this educational material for researchers, educators and professionals in local, regional, national or international agencies with minimal to intermediate geospatial information knowledge. We assume our audience has already basic knowledge of geospatial data structures, formats and that they have already used a GIS software, as to have basic skills and understanding of how to work with geospatial and tabular data. In that respect, we have limited the interactions with the command line, however we have inserted references to it.
Data and software used
Datasets and software used For the calculation of the SDG indicator, we have only used QGIS 3. We have also taken into consideration that changes that might occur from one version to another and thus focused on the functions used more than on a step-by-step guide. The datasets used for our exercise are the following: