Spatial Difference Analysis Of Driving Forces Of Cultivated Land Change In Beijing-Tianjin-Hebei Region

Based on the ArcGIS spatial analysis function,this paper changes the number of 2000 and 2010 in Beijing Tianjin Hebei area of cultivated land and spatial characteristics are analyzed from the natural,social and economic aspects and space distance of three selected indicators,based on analyzing the autocorrelation analysis and least square method based on space,constructed the GWR model,the driving force of change the cultivated land of the Beijing Tianjin Hebei region,the results show that:First,the change of cultivated land 2000-2010 in Beijing Tianjin Hebei region showed decreased first and then increased and then tended to be relatively stable,the change of cultivated land in general or net reduction,the reduction is part of construction land The occupation of cultivated land is the main source of the increase of construction land.The Beijing Tianjin Hebei region population shifted to the north and the center of cultivated land change and the population moved south,center distance should be more than the distance from the center of cultivated land.Second,the natural driving force driving forces of cultivated land changes during 2000-2010 in Beijing Tianjin Hebei region,has obvious spatial correlation the change of cultivated land area social and economic driving forces of the driving force and driving force of natural space.In the space distribution and the difference between South and north is obvious.The overall performance of the northern low aggregation of social and economic driving forces,the central high high,and in time to the nearest distance highway extending southward;and To the nearest railway distance influence on cultivated land changes significantly related,indicates that the space distance has a significant impact on the location of adjacent farmland change.Third,from the model GWR model to analyze the driving forces of cultivated land change is better than the least squares method,from the regression results,quantity of pure fertilizer,the total power of agricultural machinery,to the nearest residents.Point index,GDP change,change of population density index of the overall performance of the negative effects,to the nearest distance to the nearest river and highway distance overall performance is positive,but slight differences between different regions.