Finite difference discretisation of the map of France with

samubernard / INSA3BIMCovid19

Spatial epidemiological model for covid-19 epidemics in France at Biosciences INSA Lyon

GNU General Public License v3.0

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Finite difference discretisation of the map of France with #2

Open samubernard opened 4 years ago

samubernard commented 4 years ago

ocean border (no flux conditions)
land borders (possibility of population fluxes)
position of main cities and airports
regions and/or départements
population densities in different regions and cities

samubernard commented 4 years ago

Example of a map with population density:

France_population_density

CC BY-SA 3.0 Der Statistiker

The tool ginput in Matlab will be useful to convert the image to a set of 2D point to construct the numerical domain.

samubernard commented 4 years ago

A first draft of the code is in datasets/generate_grid.m. generate_grid uses human input (with input) to draw France borders. Then the border is mapped onto a finite difference grid, and the interior points are detected automatically by connecting all the points that do not cross a border.

Remaining tasks:

distinguish between land and ocean border
add large cities, airports, train stations, railroads and roads