Calculation of model coefficients

Storyboard

One way to calculate the coefficients of the ecosystem model is by surveying

- populations,
- its temporal variation and
- environmental parameters

of different situations (locations, times) and apply the technique of least squares.

>Model

ID:(1900, 0)


Matrix calculation

Description



ID:(14290, 0)


Calculation of model coefficients

Description

One way to calculate the coefficients of the ecosystem model is by surveying\n\n- populations,\n- its temporal variation and\n- environmental parameters\n\nof different situations (locations, times) and apply the technique of least squares.\n

Variables

Symbol
Text
Variable
Value
Units
Calculate
MKS Value
MKS Units

Calculations


First, select the equation:   to ,  then, select the variable:   to 

Symbol
Equation
Solved
Translated

Calculations

Symbol
Equation
Solved
Translated

 Variable   Given   Calculate   Target :   Equation   To be used



Equations


Examples

For the calculation of the coefficients, a least squares adjustment can be performed. In that case the equation

$\displaystyle\frac{d n_i }{dt}=( \beta_i + \displaystyle\sum_k( \gamma_{ki} e_k + \delta_{ki} e_k ^2)) n_i + \displaystyle\sum_j \alpha_{ji} n_i n_j $



with which you have to adjust the equation

$\displaystyle\sum_i (\displaystyle\frac{dn_i}{n_i dt}-\beta_i -\displaystyle\sum_k \gamma_{ki} e_k - \displaystyle\sum_k \delta_{ki} e_k ^2 - \displaystyle\sum_j \alpha_{ji} n_j )^2 = min$

\n\nwhere you have to add over the values of\n\n

$(n_i, dn_i, dt, e_k )$



(ID 14286)

If we derive the equation

$\displaystyle\sum_i (\displaystyle\frac{dn_i}{n_i dt}-\beta_i -\displaystyle\sum_k \gamma_{ki} e_k - \displaystyle\sum_k \delta_{ki} e_k ^2 - \displaystyle\sum_j \alpha_{ji} n_j )^2 = min$



in \beta_i we get

$\displaystyle\sum_{n,e} (\displaystyle\frac{dn_i}{n_i dt}-\beta_i -\displaystyle\sum_k \gamma_{ki} e_k - \displaystyle\sum_k \delta_{ki} e_k ^2 - \displaystyle\sum_j \alpha_{ji} n_j )= 0$


(ID 14285)

If we derive the equation

$\displaystyle\sum_i (\displaystyle\frac{dn_i}{n_i dt}-\beta_i -\displaystyle\sum_k \gamma_{ki} e_k - \displaystyle\sum_k \delta_{ki} e_k ^2 - \displaystyle\sum_j \alpha_{ji} n_j )^2 = min$



in \gamma_{li} we get

$\displaystyle\sum_{n,e} (\displaystyle\frac{dn_i}{n_i dt} e_l -\beta_i e_l -\displaystyle\sum_k \gamma_{ki} e_k e_l - \displaystyle\sum_k \delta_{ki} e_k ^2 e_l - \displaystyle\sum_j \alpha_{ji} n_j e_l )= 0$


(ID 14287)

If we derive the equation

$\displaystyle\sum_i (\displaystyle\frac{dn_i}{n_i dt}-\beta_i -\displaystyle\sum_k \gamma_{ki} e_k - \displaystyle\sum_k \delta_{ki} e_k ^2 - \displaystyle\sum_j \alpha_{ji} n_j )^2 = min$



in \delta_{li} we get

$\displaystyle\sum_{n,e} (\displaystyle\frac{dn_i}{n_i dt} e_l ^2 -\beta_i e_l -\displaystyle\sum_k \gamma_{ki} e_k e_l ^2 - \displaystyle\sum_k \delta_{ki} e_k ^2 e_l ^2 - \displaystyle\sum_j \alpha_{ji} n_j e_l ^2)= 0$


(ID 14288)

If we derive the equation

$\displaystyle\sum_i (\displaystyle\frac{dn_i}{n_i dt}-\beta_i -\displaystyle\sum_k \gamma_{ki} e_k - \displaystyle\sum_k \delta_{ki} e_k ^2 - \displaystyle\sum_j \alpha_{ji} n_j )^2 = min$



in \alpha_{li} we get

$\displaystyle\sum_{n,e} (\displaystyle\frac{dn_i}{n_i dt} n_l -\beta_i n_l-\displaystyle\sum_k \gamma_{ki} e_k n_l - \displaystyle\sum_k \delta_{ki} e_k ^2 n_l - \displaystyle\sum_j \alpha_{ji} n_j n_l )= 0$


(ID 14289)


ID:(1900, 0)