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Comparison of multinomial logistic regression and logistic regression: which is more efficient in allocating land use?

机译:多项Logistic回归与Logistic回归的比较:哪种方法更有效地分配土地利用?

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摘要

Spatially explicit simulation of land use change is the basis for estimating the effects of land use and cover change on energy fluxes, ecology and the environment. At the pixel level, logistic regression is one of the most common approaches used in spatially explicit land use allocation models to determine the relationship between land use and its causal factors in driving land use change, and thereby to evaluate land use suitability. However, these models have a drawback in that they do not determine/ allocate land use based on the direct relationship between land use change and its driving factors. Consequently, a multinomial logistic regression method was introduced to address this flaw, and thereby, judge the suitability of a type of land use in any given pixel in a case study area of the Jiangxi Province, China. A comparison of the two regression methods indicated that the proportion of correctly allocated pixels using multinomial logistic regression was 92.98%, which was 8.47% higher than that obtained using logistic regression. Paired Mest results also showed that pixels were more clearly distinguished by multinomial logistic regression than by logistic regression. In conclusion, multinomial logistic regression is a more efficient and accurate method for the spatial allocation of land use changes. The application of this method in future land use change studies may improve the accuracy of predicting the effects of land use and cover change on energy fluxes, ecology, and environment.
机译:土地利用变化的空间明确模拟是估算土地利用和覆盖变化对能量通量,生态和环境的影响的基础。在像素级别,逻辑回归是空间明确的土地使用分配模型中最常用的方法之一,用于确定土地使用及其驱动土地使用变化的因果关系,从而评估土地使用的适宜性。但是,这些模型的缺点是它们无法基于土地利用变化及其驱动因素之间的直接关系来确定/分配土地利用。因此,引入了多项Logistic回归方法来解决该缺陷,从而在中国江西省的案例研究区域中,判断在任何给定像素中某种土地利用类型的适用性。两种回归方法的比较表明,使用多项式Lo​​gistic回归正确分配像素的比例为92.98%,比使用Logistic回归获得的像素高8.47%。成对的Mest结果还显示,通过多项Logistic回归比通过Logistic回归更清楚地区分像素。总之,多项式逻辑回归是一种更有效,更准确的土地利用变化空间分配方法。该方法在未来土地利用变化研究中的应用可能会提高预测土地利用和覆盖变化对能量通量,生态和环境的影响的准确性。

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  • 来源
    《Frontiers of earth science》 |2014年第4期|512-523|共12页
  • 作者单位

    School of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China;

    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China,Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing 100101, China;

    School of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China;

    School of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    multinomial logistic regression; land use change; logistic regression; land use suitability; land use allocation;

    机译:多项逻辑回归土地用途变化;逻辑回归土地使用适宜性;土地用途分配;
  • 入库时间 2022-08-17 23:18:23

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