赵 丽, 朱永明, 付梅臣, 张蓬涛, 曹银贵. 主成分分析法和熵值法在农村居民点集约利用评价中的比较[J]. 农业工程学报, 2012, 28(7): 235-242.
    引用本文: 赵 丽, 朱永明, 付梅臣, 张蓬涛, 曹银贵. 主成分分析法和熵值法在农村居民点集约利用评价中的比较[J]. 农业工程学报, 2012, 28(7): 235-242.
    Zhao Li, Zhu Yongming, Fu Meichen, Zhang Pengtao, Cao Yingui. Comparative study on intensive use of rural residential land based on principal component analysis and entropy method[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(7): 235-242.
    Citation: Zhao Li, Zhu Yongming, Fu Meichen, Zhang Pengtao, Cao Yingui. Comparative study on intensive use of rural residential land based on principal component analysis and entropy method[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(7): 235-242.

    主成分分析法和熵值法在农村居民点集约利用评价中的比较

    Comparative study on intensive use of rural residential land based on principal component analysis and entropy method

    • 摘要: 土地集约利用评价方法的选择直接决定了评价结果的准确性。该文以石家庄市为例,从利用程度、投入强度、产出效果和可持续性4个方面构建指标体系,采用主成分分析法(PCA)和熵值法,对1999、2005和2008年3个时间点的农村居民点用地集约度进行评价,在此基础上对2种评价方法进行了对比分析。研究结果表明:对于集约度等级划分,2种方法测算的农村居民点集约度级别差基本控制在±1范围内,仅个别县(市)级别差为±2。对于集约度变化率,2种方法在1999-2005年、2005-2008年和1999-2008年3个不同时段数值变化方向上基本保持一致,熵值法测算所得农居点集约度的变化率明显高于PCA测算所得集约度变化率。对于空间分布上,在同一时间点2种方法所划分的农居点集约度具有一定的一致性,但也表现出一定的差异性。2种方法的结果差异主要与其计算所得的权重差异、结果处理差异、方法理论差异、数据标准化处理差异等有关。建议在农居点集约度评价中,如果涉及一个或多个时间段的评价,熵值法较为适用;如果仅对某一具体年份进行评价,则可考虑采用PCA方法。

       

      Abstract: The choice of evaluation method of intensive land use determines the accuracy of evaluation results directly. Taking Shijiazhuang city as a case, this paper established the evaluation index system from four aspects—land use degree, land input intensity, output effect and sustainability, and then used principal component analysis (PCA) and entropy method to evaluate the use intensity of rural residential land in the year of 1999, 2005 and 2008. Finally, based on the above analysis, the two evaluation methods were compared. The results showed that: 1) The difference of intensity level of rural residential land derived from the two methods was almost within ±1, only the level difference of individual counties (cities) was within ±2. 2) The change rate of intensity, from 1999 to 2005, from 2005 to 2008 and from 1999 to 2008, showed the same trend by the two methods. The change rate of intensity calculated by entropy method was significantly higher than that calculated by PCA. 3) The spatial distributions of the intensity divided from the two methods presented a certain consistency, but also showed some differences simultaneously. The difference of evaluation results between the two methods were due to the difference of weight, the treatment difference of the results, the differences of the methods, theories and data standardization. Suggestions were proposed that if one or more time periods are involved in the intensity evaluation of rural residential land use, entropy method is more suitable, if it needs to evaluate the intensity of a given year, PCA method may be the better one.

       

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