自然地理要素空间插值的几个问题

doi:10.11821/yj2004040001

地理研究 ›› 2004, Vol. 23 ›› Issue (4): 425-432.doi: 10.11821/yj2004040001

• 论文 • 下一篇

自然地理要素空间插值的几个问题

朱会义¹, 刘述林², 贾绍凤¹

1. 中国科学院地理科学与资源研究所北京100101;
2. 山东省城乡建设勘察院,济南250031

收稿日期:2003-10-20 修回日期:2004-02-18 出版日期:2004-08-15 发布日期:2004-08-15
作者简介:朱会义(1966),男,江苏响水人,副研究员,博士。主要从事土地利用/覆被变化以及地理信息系统应用研究。
基金资助:
国家自然科学基金资助项目(40271008);中科院地理科学与资源研究所知识创新工程领域前沿项目(CXIOGE010801)

Problems of the spatial interpolation of physical geographical elements

ZHU Hui yi¹, LIU Shu lin², JIA Shao feng¹

1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101,China;
2. Shandong Province Inv. and Surv. Institute of Urb. and Rur. Construction, Jinan 250031, China

Received:2003-10-20 Revised:2004-02-18 Online:2004-08-15 Published:2004-08-15

摘要/Abstract

摘要：

资源管理、灾害管理、生态环境治理以及全球变化研究的需要强化了部分自然地理要素空间插值研究的重要性。这些要素空间插值的核心是建立充分逼近要素空间分布特征的函数方程。对于给定的区域与要素样本值 ,插值函数可以有多种模型形式。各类模型的精度受其理论基础、模型算法、时空尺度效应、样本数据属性等因素的综合影响。通过对国际主要插值研究成果进行分析 ,文章认为各类模型插值精度的差异缘于模型对插值要素空间变异性与空间相关性的反映 ,具体应用中 ,只有对已知样本数据进行变异性与相关性分析才能选出适当的插值方法。

关键词: 自然地理要素, 空间插值, 空间变异性, 空间相关性, 时空尺度

Abstract:

The spatial interpolation of some physical geographical elements is becoming increasingly important nowadays in resources management, disaster control, environment improvement and the research of global change. The core of the spatial interpolation of those elements is to seek the functions that can reveal their characteristics of spatial distribution. But, as for specified regions and sample data, there are many functions in the list for choice. And the best choice is difficult to make because of the complex effects from theoretical foundation, algorithm, temporal spatial scale, and attributes of sample data. By referring to the major achievements in the interpolation research field, this paper comes to the point that the accuracy of certain spatial interpolation depends on its capability of reflecting the element's spatial variance and spatial correlation. Models using other elements as variables, when regression variable has high correlation with interpolation variable, will give more accurate results than others, because they have better reflection of spatial variance. Models without other element variables change in accuracy according to their consideration of the anisotropic characteristics or not. With spatial temporal scales' variance, the disposed spatial variance and correlations will be different, which affects the interpolation accuracy. The density, spatial distribution, data extent of sample points also makes the interpolation results different for the same reason. As for applications, the optimal interpolation method should be picked out after the analysis of those spatial characteristics embedded in the sample dataset.

Key words: physical geographical elements, spatial interpolation, spatial variance, spatial correlation, temporal spatial scale

朱会义, 刘述林, 贾绍凤. 自然地理要素空间插值的几个问题[J]. 地理研究, 2004, 23(4): 425-432.

ZHU Hui yi,LIU Shu lin,JIA Shao feng. Problems of the spatial interpolation of physical geographical elements[J]. GEOGRAPHICAL RESEARCH, 2004, 23(4): 425-432.

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自然地理要素空间插值的几个问题

Problems of the spatial interpolation of physical geographical elements

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