[1]卢华兴,刘学军,汤国安,等.地形复杂度的多因子综合评价方法[J].山地学报,2012,(05):616.
　LU Huaxing,LIU Xuejun,TANG Guoan.Terrain Complexity Assessment Based on Multivariate Analysis[J].Mountain Research,2012,(05):616.
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地形复杂度的多因子综合评价方法()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2012年05期
页码:
616
栏目:
山地学报
出版日期:
2012-01-01

文章信息/Info

Title:
Terrain Complexity Assessment Based on Multivariate Analysis
作者:
卢华兴;刘学军;汤国安;
1. 东南大学 交通学院，江苏 南京210096；
2. 南京师范大学 地理科学学院，江苏 南京210097
Author(s):
LU Huaxing; LIU Xuejun; TANG Guoan
1. School of Transportation. Southeast University，Nanjing 210096，China；
2. School of Geographic Science. Nanjing Normal University，Nanjing 210097，China
关键词:
DEM; 地形复杂度; 多因子分析
Keywords:
DEM; terrain complexity; multivariate analysis
分类号:
P931
文献标志码:
A
摘要:
地形复杂度指标(Terrain Complexity Index,TCI)是评价地表起伏和褶皱程度的指标,广泛应用于DEM数字地形分析、数据综合和建模、地貌分类以及DEM精度研究等领域。然而目前地形复杂度指标多数采用单一地形指标或区域统计指标,缺乏局部的复合评价指标。为此,引入多因子分析方法和局部窗口分析方法,探讨一种基于格网DEM数据的复合地形复杂度指标(Compound Terrain Complexity Index,CTCI)的建模方法。首先利用多因子评价方法选取4种局部地形因子(局部高差、局部标准差、局部褶皱度、局部全曲率),之后利用局部窗口分析方法获取各指标的计算值,最后融合4种因...
Abstract:
Terrain complexity，which describes rugousness and complexity of the terrain surface，is not only an important terrain parameter in digital terrain analysis，but also widely applied in the fields of reduction of topographic data and DEM modeling，terrain classification and DEM accuracy modeling and assessment. Unfortunately，terrain complexity is an ambiguous terrain feature that tills now no optimal index to quantify it. The traditional terrain complexity indices evaluate terrain complexity only from one perspective of geomorphometry or just give a statistical value (global value)，which will cause more or less prejudice when modeling the real landform. This paper wants to seek a local compound terrain complexity index to quantitatively evaluate topographic complexity based on grid DEM. According to multivariate analysis method，we firstly selected 4 different traditional indices that can easily be evaluated by local kernel window，then deduce the compound terrain complexity index (CTCI) using indices fusion. In order to validate model，we selecte 4 study areas with 3 typical landform and 1 hybrid landform，then compute the CTCI of each test areas and compare the CTCIs with contour lines and DEM hill shade map，the result shows the CTCI can roughly differentiate the contour line where is cliff and dense and where is smooth and sparse，which indicates CTCI is a sound terrain parameter to evaluate terrain complexity.

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备注/Memo

备注/Memo:
收稿日期(Received date)：2011-11-30；改回日期(Accepted) : 2012-04-12。
基金项目（Foundation item）：国家自然科学基金（40901240，40971230，50978052）；博士点基金（20093207110009）。\[Jointly Sponsored by National Science Foundation (40901240, 40971230, 50978052) and Doctoral Program Foundation of Ministry of Education (20093207110009).\]
作者简介（Biography）：卢华兴（1977-）男，博士，东南大学地理信息工程系讲师，主要研究兴趣为空间数据与空间分析不确定性、交通GIS。\[Lu Huaxing (1977-) male, Ph D, Lecturer of geoinformatics engineering faculty, Southeast Univ., his research interests include: uncertainty of spatial data and analysis, GIS applications for transportation.\] E-mail: lhx@seu.edu.cn
更新日期/Last Update: 1900-01-01