The notebooks using folium package were developed with the version 0.1.6.
Some part of the code will probably not work with the most recent versions, since some functions were deprecated (e.g., folium.map.geojson).
Tool | Description |
---|---|
abstract_time_bokeh | Bokeh plot of the time series of abstract received. |
abstract_time_highchart | Create highcharts plots of the abstract time series using pandas-highcharts. |
abstract_time | Read the list of abstracts and generate a time series plot. |
compute_participant_distance | Compute the total distance traveled by each participant. |
parse-Colloquium-publications | Extract author information and article title using journal web page. |
plot_abstracts_map | Create participation map using the IP from the lists of abstract. |
plot_folium_abstract_map | Create a map with the countries color according to the number of received abstracts. |
plot_folium_hotels | Create interactive leaflet map with the hotels and the interesting locations. |
read_csv_participants | Read participant information from CSV file. |
Specifically for the preparation of this map, one needs to
- Convert the list of participants (with affiliation) to a list of coordinates, using the tool get_coordinates_from_participant_list.
- Use the list of coordinates to create a
geoJSON
file with the countries and the corresponding number of attendees. count_countries
Note that there is a lot of missing data from 1990 to 1996 ad from 1998 to 1999.
The Wordle
is based on the list of topics (file topic.md) with the tool
word_count.ipynb.