Three types of regions are found in Louisiana: lowlands, terraces, and hills.
These are often applied in a similar way across many types of regions.
When lowpass subband coefficients are merged, the traditional structural similarity index is employed to distinguish different types of regions.
Further, we analyse whether these different types of regions tend to converge or diverge, both economically and technologically.
In this paper we analyse different types of regions with respect to their preconditions for innovation, networking and innovation barriers.
And each subband is divided into three types of regions, i.e., regions with temporal moving targets, regions with spatial features of background images, and smooth regions.
The parametric plane is then divided into different types of regions by the transition boundaries according to the types of the steady state solutions.
We show that for each source the spectral changes can be reproduced with a linear combination of only two different spectra, i.e., the entire surface is covered by two distinct types of regions.
When bandpass directional subband coefficients are merged, the CCC-EM index is employed as the similarity measure and three types of regions between source images are determined for each bandpass directional subband.
It is concluded that different driving modes are needed for different types of regions according to the functional positioning of their DPZ and that the model contributes to their identification.
The same types of regions of instabilities are found for the finite element, flexible shaft-rotor model, and the role of shear deflection is particularly significant in one of the mechanisms.
