Displaying 3 results from an estimated 3 matches for "polygon_id".
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polygon3d
2017 Jun 21
4
How to apply a system of ordinary differential equations to a cell grid?
...polygon ID of each cell. In addition, I have epidemiological parameters associated with each polygon ID. At each time step, the parameter values change in the polygon. Thus, the data frame ?landscape? (see below) is updated at each time step. Here is an example at t = 0:
landscape <- data.frame(polygon_ID = seq(1, 10, by = 1),
beta = sample(c(100, 200, 400, 600), 10, replace = TRUE),
gamma = sample(c(25, 26, 27, 28), 10, replace = TRUE))
To study the disease dynamics, I also am developing a compartmental model based on a system of ordinary differentia...
2017 Jun 21
0
How to apply a system of ordinary differential equations to a cell grid?
...of each cell. In addition, I have epidemiological parameters associated with each polygon ID. At each time step, the parameter values change in the polygon. Thus, the data frame ?landscape? (see below) is updated at each time step. Here is an example at t = 0:
>
> landscape <- data.frame(polygon_ID = seq(1, 10, by = 1),
> beta = sample(c(100, 200, 400, 600), 10, replace = TRUE),
> gamma = sample(c(25, 26, 27, 28), 10, replace = TRUE))
>
> To study the disease dynamics, I also am developing a compartmental model based on a system of or...
2017 Jul 17
0
How to apply a system of ordinary differential equations to a cell grid?
...D of each cell. In addition, I have epidemiological parameters associated with each polygon ID. At each time step, the parameter values change in the polygon. Thus, the data frame ?landscape? (see below) is updated at each time step. Here is an example at t = 0:
>
> landscape <- data.frame(polygon_ID = seq(1, 10, by = 1),
> beta = sample(c(100, 200, 400, 600), 10, replace = TRUE),
> gamma = sample(c(25, 26, 27, 28), 10, replace = TRUE))
>
> To study the disease dynamics, I also am developing a compartmental model based on a system of ord...