The study looked at how people's preferences affect their willingness to pay for improvements in rural landscapes. By analyzing data from a survey, researchers found that taking into account people with different types of preferences can improve the accuracy of estimates. They used a specific statistical model to compare the differences between those with continuous and discontinuous preferences. The results showed that including discontinuous preferences in the analysis can lead to better predictions of how much people are willing to pay for certain improvements in the landscape.