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Presentation . 2022
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Using the Geographical Information System QGIS for data analysis [Online workshop]

Authors: Alvanides, Serafeim; Ghavimi, Amir;

Using the Geographical Information System QGIS for data analysis [Online workshop]

Abstract

This record presents slides and video from the CESSDA online workshop "Using the Geographical Information System QGIS for data analysis", a hands-on workshop on Geographic Information Systems for social scientists with no experience in QGIS (12 July 2022). Geographical and georeferenced data are gaining increasing importance in social science research. For example, it is becoming more common to add geographical data related to the social or physical environment as contextual variables to social surveys or to aggregate social survey results at various geographical scales. Using geographical data in our research necessitates additional analytical skills and workflows, usually related to some sort of Geographical Information System (GIS). GIS can be defined as a collection of tools to process, analyze and visualize data containing spatial information; such tools have been developed as “packages” for statistical software R or for the programming language Python, but these require intermediate to advanced coding skills. On the other hand, there are also GIS software solutions by various corporations which may be unaffordable for certain contexts, such as independent researchers of non-governmental organisations. For this workshop, we were using the free and open source software QGIS, which is widely available and fully maintained by a strong community of volunteers and supporting organisations. In addition to the main QGIS software, there is a wide range of training material produced by the QGIS community and many educational and research institutes. In this workshop, participants learned how to use QGIS for basic data processing and introductory spatial analysis. They also learned about common GIS formats, importing data, processing them for further analysis and mapping their results. The video is also available on the CESSDA Training YouTube Channel.

Keywords

data, data analysis, CESSDA, GIS, QGIS, Geographical Information System

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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