热带地理 ›› 2019, Vol. 39 ›› Issue (5): 770-779.doi: 10.13284/j.cnki.rddl.003169
收稿日期:
2019-01-05
修回日期:
2019-07-12
出版日期:
2019-09-10
发布日期:
2019-11-08
通讯作者:
周秋文
E-mail:zouqiuwen@163.com
作者简介:
孙智妍(1992—),女,辽宁沈阳人,硕士研究生,主要从事喀斯特生态水文过程研究,(E-mail)sunzhiyan139@163.com;
基金资助:
Sun Zhiyan, Zhou Qiuwen(), Zhang Siqi, Wei Xiaocha, Ma Longsheng
Received:
2019-01-05
Revised:
2019-07-12
Online:
2019-09-10
Published:
2019-11-08
Contact:
Zhou Qiuwen
E-mail:zouqiuwen@163.com
摘要:
以杨眉河小流域为研究区,通过土壤水分采样,选取辅助变量,采用普通克里金、协同克里金、回归克里金3种地统计学方法对土壤水分数据进行空间插值。结果表明:1)回归克里金对研究区土壤水分估算误差最小,其次为协克里金,普通克里金的误差最大;2)普通克里金生成的土壤水分表面最为平滑,而回归克里金最大程度反映了研究区实际的土壤水分空间变化;3)对于协同克里金,以湿度指数(WI)样点数据作为辅助变量的估算误差小于将WI栅格数据作为辅助变量的估算误差。总之,在可获得有效辅助变量的条件下,回归克里金对研究区土壤水分估算的效果优于协同克里金与普通克里金。
中图分类号:
孙智妍, 周秋文, 张思琪, 韦小茶, 马龙生. 喀斯特地区春季土壤水分空间插值方法对比[J]. 热带地理, 2019, 39(5): 770-779.
Sun Zhiyan, Zhou Qiuwen, Zhang Siqi, Wei Xiaocha, Ma Longsheng. Comparing and Analyzing Different Spatial Interpolation Methods for Soil-Moisture Estimation in Karst Areas[J]. Tropical Geography, 2019, 39(5): 770-779.
表4
训练数据集的样本数量为28~37时采用的回归模型"
训练数据集采样点数量 | 回归模型 | 相关系数 | P |
---|---|---|---|
38 | y=15.056-0.02x | 0.551* | <0.001 |
37 | y=14.067-0.021x | 0.595* | <0.001 |
36 | y=14.947-0.021x | 0.556* | <0.001 |
35 | y=15.238-0.019x | 0.541* | 0.001 |
34 | y=14.238-0.025x | 0.630* | <0.001 |
33 | y=14.969-0.02x | 0.551* | 0.001 |
32 | y=17.587-0.015x | 0.460* | 0.008 |
31 | y=15.631-0.018x | 0.501* | 0.004 |
30 | y=14.781-0.022x | 0.573* | 0.001 |
29 | y=14.514-0.02x | 0.553* | 0.002 |
28 | y=16.098-0.017x | 0.525* | 0.004 |
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