"The study of environmental preferences is a main topic of current research in environmental psychology. Furthermore, the understanding of this basic process is an important issue for the management of visual resources, and the preservation of natural environments. The environmental preference process is related to three kinds of variables: Informational variables (as mystery, coherence, legibility, and complexity), spatial configuration variables (as spaciousness, openness, etc.), and historical & cultural factors (for example traditional landmarks, country settings, human influence on the landscape etc.). This study aims at defining the importance and predictive power of these three clusters of variables in subjects' judgments of preference. Eleven judges considered a large sample of natural landscapes according to two criteria: openness vs. closeness and humanized vs. no humanized. Sixteen slides were selected (4 open & humanized landscapes; 4 open & no humanized landscapes; 4 closed & humanized landscapes; 4 closed & no humanized landscapes). A questionnaire which included 16 evaluative items was prepared. Sentences involved judgments about the importance of informational, spatial and historical or cultural variables, as well as a question about general preference and another about general satisfaction. Subjects' task consisted of watching every slide and judging each one by filling out the questionnaire. Means of subjects' ratings of every slide were compared by a statistical test. Multiple regression analysis was performed in order to determine the predictive power of the variables over the judgments of general preference and general satisfaction. Finally a multidimensional scaling defined categories of landscapes according to subjects' judgments. Results confirm the predictive power of the variable "mystery" in the preference judgments about natural landscapes. In a less degree, other variables also showed an influence over subjects' judgments. The variable "human influence" seems also to be relevant for the preference and satisfaction judgments. On the other hand, multidimensional scaling shows the importance of previous categorization in subjects' answers."