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Identification of Driving Factors in Cultivated-Use Change Based on GIS and RS

机译:基于GIS和Rs的培养使用变化的驱动因素识别

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It of important practical significance for protecting cultivated land to master the driving factor and its spatial variation of cultivated-use change accurately. By using of "3S" technology, applied Pearson correlation analysis and logistic regression model to identify the main driving factors of cultivated-use change. The results show: cultivated use change was determined by natural factors and human factors together, but natural factor was the leading. Cultivated loss was mainly turn to grassland, construction land, and waters; the main driving factors were soil texture, geomorphic type, organic, slope. Cultivated gain was mainly from forest land and unused land, soil types, elevation, sand percentage in soil, and population density were the driving factors.
机译:对保护耕地掌握驱动因素的重要实际意义,准确地培养培养因素及其空间变化。通过使用“3S”技术,应用Pearson相关分析和逻辑回归模型来确定培养使用变化的主要驾驶因素。结果表明:培养使用变化由自然因素和人类因素决定在一起,但自然因素是领先地位。栽培损失主要转向草原,建筑用地和水域;主要的驱动因子是土壤纹理,地貌型,有机,斜坡。耕地增益主要来自林地和未使用的土地,土壤类型,升高,土壤中的砂百分比,人口密度是驱动因素。

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