By considering the same valued graph matrix (L) than the previous
example and the population matrix P, the potential accessibility
matrix, P(G), can be calculated:
The higher the value, the more a location is accessible, node C being
the most accessible. The matrix being non-transposable, the summation
of rows is different from the summation of columns, bringing forward
the issue of attractiveness and emissiveness. Node C has more emissiveness
than attractiveness (2525.7 versus 2121.3), while Node B has more attractiveness
than emissiveness (1358.7 versus 1266.1).
- The value of all corresponding cells (A-A, B-B, etc.) equals
the value of their respective attributes (P).
- The value of all non-corresponding cells equals their attribute
divided by the corresponding cell in the L-matrix.