Results presentation#

This section is still work in progress.

Maps#

The best way to depict spatial variability is through maps. For baseline risk mapping, there is no simple automation; QGIS is used to import the data and print into maps.

  • The geopackage and tiff data produced by the tool can be simply dragged within QGIS main window to import them in the Table of Content (Toc).

  • You can add a basemap for reference. The best way is using the Quick Map Service plugin.

  • A proper symbology should be applied to each layer.

  • The print layout window is used to build the map to export as a picture, adding legends, scale bar, etc.

See also

Do you prefer to map using python? Take a Python data-viz free course!

Figures#

  • Charts allow to give a quick snapshots of key output, e.g. the most risk-prone units in a country.

    ../_images/EAI_chart.png

    Fig. 42 Example of chart depicting absolute and relative EAI.#

  • Charts are also better than maps to display the difference between baseline and future risk.

    ../_images/EAI_change_chart.png

    Fig. 43 Example of chart depicting absolute EAI for historical baseline and future projection scenario.#

Dashboard#

An open-source online dashboard has been developed in order to quickly disseminate results of risk screening and assessment.

../_images/ccdr-dashboard.png

Fig. 44 Geo-dashboard for dissemination of risk screening results.#