Analysis of the Impact of Non grain Utilization on Cultivated Land Quality Based on OLS+GWR Model
To explore the impact of different non-grain utilization methods on the quality of cultivated land,the spatial distribution of non-grain cultivated land in some areas of Danzhou City,Hainan Province was analyzed based on the least squares linear regression(OLS)model and geographically weighted regression(GER)model.The results showed that when the landscape seedling planting method was adopted in the study area,it had a great influence on the soil organic matter in the central and western regions,the soil pH value in the southeast and southwest regions,and the area-weighted shape index in the southeast region,and the landscape seedling planting method was the key influencing factor of these three indicators.When the fruit tree planting method is adopted in the study area,it has a great influence on the soil organic matter in the eastern and western regions,the soil fragmentation index in the western region,and the area-weighted shape index in the southeast and southwest regions.The fruit tree planting method is the key influencing factor of these three indicators;when the lawn planting method is adopted in the study area,it has a great influence on the fragmentation index and planting scale in the eastern part of the study area,and lawn planting is the key influencing factor of these two indicators.When the pond farming method is adopted in the study area,it has a great influence on the soil pH value in the central,northwest and southwest regions and the planting scale in the southeast region.Pond farming is the key influencing factor of these two indicators.
least squares linear regression modelgeographically weighted regression modelnon grain orientedquality of cultivated landkey influencing factors