摘要
选取陕西省关中地区海拔高度、坡度、多年平均降雨量、河网密度、交通网密度、GDP和人口密度等自然和社会经济数据,通过随机空间采样,建立2000年关中地区土地利用类型的空间分布概率多元逻辑回归模型。根据所建立的模型,运用G IS技术和结合2000年相关数据,模拟出2000年该区域的土地利用空间分布格局,研究结果表明,林地的模拟准确率为91.7%,耕地的模拟准确率能达到86.3%,草地的模拟准确率为68.7%,对关中地区的土地利用格局的驱动作用具有较好的解释。
Land use pattern is decided by natural statement and social economic factors, this manuscript based on the analysis of altitude, slope, rainfall, river density, traffic road density, population and GDP, built up the logistic regression model to simulate the land use pattern of Guanzhong region, Shaanxi province. According to the logistic regression model, this article made a simulation ma Pfor the land use pattern in Guanzhong region, comparing with the factual land use pattern, the simulation was consistent with the fact. The precision of forest simulation was 91.7%, the cultivated land was 86. 3%, and the grass land was 68. 7%, so, the spatial models could identify the main driving forces of land use in Guanzhong region through validation of the logistic regression model.
出处
《测绘科学》
CSCD
北大核心
2011年第1期105-108,共4页
Science of Surveying and Mapping
基金
国家自然科学基金资助项目(40771019)
关键词
土地利用
模拟
驱动力
关中地区
land use
simulation
driving force
Guanzhong region
