A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The processment of information related to a geographic location has long been difficult due to lacking data sources and processing power. The recent changes in the rise of web-based technologies like OpenStreetMap (OSM) and Google Maps change the picture.With R it is possible to execute a large amount of data and to produce appropriate visualisations. The challenge is to find the necessary spatial information. In this paper an overview is given to reflect the possibilities spatial visualisations in the context of social sciences. Moreover, it provides an introduction to spatial visualisation.Sources for spatial data and methods of data collection are described and examples of visualisations are presented.
The processment of information related to a geographic location has long been difficult due to lacking data sources and processing power. The recent changes in the rise of web-based technologies like OpenStreetMap (OSM) and Google Maps change the picture.With R it is possible to execute a large amount of data and to produce appropriate visualisations. The challenge is to find the necessary spatial information. In this paper an overview is given to reflect the possibilities spatial visualisations in the context of social sciences. Moreover, it provides an introduction to spatial visualisation.Sources for spatial data and methods of data collection are described and examples of visualisations are presented.
Visualizing GeoData with R
Kolb, Jan-Philipp (author)
2016-02-29
Österreichische Zeitschrift für Statistik; Bd. 45 Nr. 1 (2016); 45-54 ; Austrian Journal of Statistics; Vol. 45 No. 1 (2016); 45-54 ; 1026-597X
Article (Journal)
Electronic Resource
English
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