Software development for unsupervised approach to identification of a multi temporal spatial analysis model

This software development is based on an analysis of the main components derived from particular patterns of spatial statistical data. The reference models of spatial statistical analysis are extracted according to image processing, pattern recognition and filter algorithm. This methodological approach introduces a significant improvement in the evaluation of changes in the territorial scenery, providing a wider interpretation of the problems of the area studied and encouraging a more analytical reading of complex environmental phenomena. In order to improve reading and analysis of the territorial changes it is necessary to compare the same geographical space in two different moments that enclose a well-defined period of time.