A potential of discriminant analysis is demonstrated in a case study of the common marten (Martes martes L., 1758) ecological niche within the Central Forest Reserve and its buffer zone. The analysis is aimed at identifying how the probability to encounter a marten's footprint along a walking route depends on the relief and other parameters of the environment discerned by remote sensing. The analyses that were done individually for each of the eleven months from a three-year observation period have revealed the pattern of the species spatial distribution and a measure of its association with the environment to be dependent, to a large extent, on the weather conditions. In general, associations with the environment do increase under unfavorable conditions. The methods are suggested that integrate outcomes of the monthly analyses into a general map of habitat types. The technique presented has wide application opportunities in studying the ecology of populations and solving problems of practical ecology.