  This work describes Raman imaging and its data evaluation methods by using
the softwares original features: built-in fitting function and K-means cluster
analysis KMC followed by fitting in an external environment. For the first
time, these methods were compared in terms of their principles, limitations,
versatility, and process duration. The performed analysis showed the
indispensability of Raman imaging in terms of phase distribution, phase content
calculation, and stress determination. Zirconium oxide formed on different
zirconium alloys under various oxidation conditions was selected as an
exemplary material for this analysis. The reason for the material choice is
that it is an excellent example of the application of this type of Raman
analysis since both phase distribution and stress analysis in zirconium oxide
are of crucial importance for the development of zirconium alloys, especially
for nuclear applications. The juxtaposition of the results showed advantages
and limitations of both procedures allowing a definition of the criteria for
selecting the evaluation method for different applications.
