assessment method for agricultural landscapes through the objective quantification of aesthetic attributes

this paper presents a new approach for assessing agricultural landscapes based on mixturemethods and the study and definition of aesthetic attributes as lines, forms, texture, spatial composition, scaleand color as they are the closest to human perceptual aesthetic attributes. a set of variables capable ofquantifying those attributes in a simple, objective and systematized way will be proposed. they are relatedwith physical dimensions such as length, radium, angle, surface or brightness. people preferences for a specifictype of agricultural landscape have been collected and different regression models between preferences andvariables capable of quantifying attributes have been tried. the optimal model, explaining 82.3% of thevariance in population preferences, selects 41 variables, adopts a linear structure and identifies the color as themost relevant attribute on population preferences and, inside it, green brightness as the most positive influencingvariable on preferences being referred to red gamma the most influencing negative one.