The description of one city across all descriptors.

For quantitative descriptors, the position of the dot along the line corresponds to the rank of the considered city among all cities (on the left: lowest rank, on the right, highest rank).

For categorical descriptors, labels and colors indicate the value of the variable for the considered city.

Choose a city by clicking on the map.

The distribution of the selected variable, possibly differentiated according to clusters of cities.
The multivariate description of cities across all quantitative descriptors (assessed through a principal component analysis)

The distribution of all descriptors across cities: boxplots for quantitative descriptors, barplots for categorical descriptors.

The displayed values for quantitative descriptors can be either their ranks (by default), or their raw values.

This map displays the most specific topic for each city (whichever river is considered) according to the results of the Search Engine Research Pages.

The topics are built automatically based on the contents of scraped pages, through the clustering of text segments into classes, which are displayed in tab topics tree.

An index of localness for each scraped page is calculated based on the url's domain and page's language

The following map shows, for each city, the proportion of web pages assessed as local.

Consider either roughly equally-sized text segments or complete web pages.

NB: in table txt_segment the words have been lemmatized: search for e.g. 'mine' rather than 'mining' or 'tree' rather than 'trees'.

Examples of search:

  • in txt_segment: 'gravel mine'
  • in txt_segment: 'global warm OR climate change'
  • in txt_page: 'water scarcity OR global warming'
Download this data

To consult the documentation associated to this appplease check this site.