Dataset of approaches to assessing the natural resource potential of agricultural landscapes using the Harrington’s desirability function

Full dataset for Manuscript_Dataset of approaches to assessing the natural resource potential of agricultural landscapes using the Harrington’s desirability function. The research methodology was based on the materialist theory of scientific knowledge, methods of mathematical modeling of natural conditions and processes, as well as the use of the Harrington’s desirability function. Based on the study, a model of a system of dimensionless criteria and evaluation indicators has been developed, which are used to determine the natural resource potential of agricultural landscapes (a composite indicator). On this basis, the scale of coded values for specific indicators and the Harrington’s desirability scale are calculated (complex indicator). The proposed mathematical model is a generalized Harrington’s desirability function, which varies from 0 to 1 and is divided into seven subranges (scales): (0–0.17) – catastrophic; (0.17–0.27) – very poor; (0.27–0.37) – poor; (0.37–0.50) – satisfactory; (0.50–0.63) – average; (0.63–0.83) – good; and (0.83–1.00) – very good. These gradations correspond to the general approaches used in assessing the natural resource potential of agricultural landscapes. The proposed methodology and algorithm for assessing the natural resource potential of agricultural landscapes make it possible to determine the degree of desirability according to the value of its function, and can be used for predicting the state of the natural environment