Abstract
This article presents the results of the development of the corrections for geographical differences and photoperiodism in time-series analyses of physiological and demographic indicators.
 the models were created using the results of the studies of biological rhythms obtained using the software developed by the author using wavelet analysis and photoperiodic stability of the chronotype during adaptation to the conditions of the North, shift work in healthy individuals as well as in subjects with somatic or mental pathology. We also assessed long-term demographic rhythms of the population living in different regions of Russia.
 For standardization and ranking of interseasonal, inter-regional studies (physiology of movements and shift work) in chronophysiological format, we propose the use of the calculated "photoperiodic latitudinal coefficient". To improve the accuracy of the models, we propose the use of the "signal- noise coefficient" in the interpretation of the results, an assessment of the "degree of polyrhythmicity" and the "rhythm instability index" in the presence of "inserted" or "quantized" rhythms.
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