$$nLSI = \frac{e_{i} - \min e_{i}} {\max e_{i} - \min e_{i}}$$
where \(e_{i}\) is the total edge length in cell surfaces and \(\min e_{i}\)
\(\max e_{i}\) are the minimum and maximum total edge length in cell surfaces, respectively.
nLSI is an 'Aggregation metric'. It is closely related to the lsm_c_lsi
and describes the ratio of the actual edge length of class i in relation to the
hypothetical range of possible edge lengths of class i (min/max).
Currently, nLSI ignores all background cells when calculating the minimum and maximum
total edge length. Also, a correct calculation of the minimum and maximum
total edge length is currently only possible for rectangular landscapes.
Behaviour
Equals nLSI = 0 when only one squared patch is present. nLSI
increases the more disaggregated patches are and equals nLSI = 1 for a maximal disaggregated
(i.e. a "checkerboard pattern").