Quality of life and voting behaviour

In light of the  first round of the presidential elections in France (23 april 2017), we analyzed the correspondence between the quality of life characterisation of French departments and the elections results. The relationship between quality of life and voting behaviour (votes for Macron, resp. votes for Le Pen) is most pronounced in the topContinue reading “Quality of life and voting behaviour”

Mapping the results of the French presidential election

In this post we document the workflow (using R) to produce a choropleth map and an isarithmic map representing the results of the presidential election in France (2nd round, 7 may 2017). Choropleth map of the results of the presidential election First, we download a shapefile of the municipalities in France (data source : https://www.data.gouv.fr/fr/datasets/decoupage-administratif-communal-francais-issu-d-openstreetmapContinue reading “Mapping the results of the French presidential election”

Text mining of State of the Union Addresses of Barack Obama, 2009-2016. Part 1 : Sentiment analysis with R package “syuzhet”

In this post we use the basic functions of the Syuzhet package to perform sentiment analysis on the text of the State of the Union Addresses of president Barack Obama in the period 2009-2016. Project Gutenberg makes e-texts available and through the corresponding R library we use the UTF-8 file to perform sentiment analysis on Continue reading “Text mining of State of the Union Addresses of Barack Obama, 2009-2016. Part 1 : Sentiment analysis with R package “syuzhet””

Assessing spatial heterogeneity in crime prediction. Using geographically weighted regression to explore local patterns in crime prediction in Belgian municipalities

Processes and characteristics of urban areas at the human-environment interface (e.g. social stratification, segregation, urban poverty) depend on a diverse set of socio-demographic, economic and environmental factors.  Due to the heterogeneity of urban areas, it can be assumed that  the strength and direction of the influence of these factors varies over space. Special properties ofContinue reading “Assessing spatial heterogeneity in crime prediction. Using geographically weighted regression to explore local patterns in crime prediction in Belgian municipalities”

Visualisaties van het woon-werkverkeer in België

Inzicht in de woon-werkdynamiek is belangrijk voor het beleid inzake wonen en werken en de relatie tussen beide.  Daarbij stelt zich de vraag of mensen gaan wonen waar de kans op een geschikte baan optimaal is (wonen volgt werken) dan wel dat bedrijven zich eerder vestigen op plaatsen waar veel arbeidspotentieel beschikbaar is (werken volgtContinue reading “Visualisaties van het woon-werkverkeer in België”

Big data, open data, small data

The current business environment evolves from a transition towards globalization and a restructuration of the economic order.  The pace of technological change that allows instant connectivity and the current era of ubiquitous computing that resulted from it, represent a new normal. In the knowledge economy, activity is based on highly networked interactions.  The amount ofContinue reading “Big data, open data, small data”

Spatial data analysis with R : Voronoi diagrams

Voronoi diagrams represent a way to visualise spatial data.  A voronoi diagram consists of a set of polygons of which the points in each polygon are closest to a set of pre-defined points.  Therefore, voronoi diagrams can be used to analyse point density. In this guide the subject of voronoi diagrams is documented by wayContinue reading “Spatial data analysis with R : Voronoi diagrams”