Hi Mathieu,
Each transition must have a corresponding probability layer in the
probability map. And these layers must be named "probability_X_to_Y
where X and Y are classes for each transition X to Y.
The H0 example is extremely basic and it is assuming a single
transition. That is why this example uses a Calculate Map to create
the probability map.
If you are planning to use several transitions, you should use a
Create Cube Map to create a probability map from individual
probability layers or use more specialized tools like the operators
designed to generate probability maps using the Weights of Evidence
method.
Probability maps must respect some properties. For example, for a
given cell, the sum of all probabilities from concurrent transitions,
i.e, transitions from the same class, must be less than or equal to
1.0. If the probability map has a cell type different from IEEE 754 32
Bit Real, all probabilities must be scaled so that 0 becomes 0 and 1.0
becomes the maximum value represented by the given cell type.
Internally, Dinamica EGO uses a signed integer value to represent each
class, so classes range from -
2147483648 to
2147483647. If you are
planning to save the transition matrix as a lookup table, the limits
are tighter and a class must be a value between 0 and 999.
And probably, the most important advice: Usually it is hard to
calibrate a model with dozens of different transitions.
On Mon, Oct 29, 2012 at 3:38 PM, Dinamica EGO on behalf of Mathieu
<
dinamica-ego+noreply-APn2wQcFJiZ...@googlegroups.com>
wrote: