文献类型：期刊文献

英文题名：Application of improved sequential indicator simulation to spatial distribution of forest types

作者：Feng, Yiming[1,2] Tang, Shouzheng[1] Li, Zengyuan[1]

第一作者：Feng, Yiming

通信作者：Feng, YM[1]

机构：[1]Chinese Acad Forestry, Res Inst Resource Informat Tech, Beijing 100091, Peoples R China

年份：2006

卷号：222

期号：1-3

起止页码：391-398

外文期刊名：FOREST ECOLOGY AND MANAGEMENT

收录：;EI(收录号：2006059677329);Scopus(收录号：2-s2.0-31444436099);WOS:【SCI-EXPANDED(收录号:WOS:000235599700038)】；

基金：This paper was finished under the support of the National Natural Science Foundation of China project (30500390) and the “863” Project (2003AA209060). Meanwhile, it obtained a great help from the doctor Xiangdong Lei (China Academy of Forestry), the doctor Tao Pei (Research Institute of Geography, Chinese Academy of Sciences), Hongxia Liu (Chinese Academy of Agricultural Sciences) and Yuancai Lei (Chinese Academy of Forestry).

语种：英文

外文关键词：forest types; categorical variables; sequential indicator simulation; improved sequential indicator simulation; spatial statistics

摘要：Spatial distribution of forest types is the base and precondition of conducting forest landscape pattern. In current practical forest production, the attainment ways of forest distributing map have very strong subjectivity or are restricted by environmental factors. The purpose of spatial statistics is to describe the distribution characteristics of the things in the space. Conditional simulation algorithm is one kind of effective means of conducting spatial interpolation in the spatial statistics. The forest type is a regionalized categorical variable, and perhaps there are some regions with patch fragmentation of forest types in research regions. For these reasons, this paper used the sequential indicator simulation (SIS) algorithm of categorical variables to simulate the spatial distribution of forest types. The SIS had very great chanciness when the adscription of forest type of simulated point was confirmed, and hence the precision of the SIS was relatively low. This paper presented the improved method for the SIS. Using the sample plots of the China's Northeast Wangqing Forestry Bureau and the Guangxi Zhuang autonomous region as the tested materials, the simulation of forest distributing map was successfully implemented with the improved sequential indicator simulation (ISIS) algorithm, and thus obtaining a simulation precision of about 80%. Results of precision analysis indicated that the ISIS enhanced the simulation precision. Therefore, the ISIS was feasible and effective. Using the sample plots as the tested materials, the ISIS might be used as an effective way of obtaining the forest distributing map. (c) 2005 Elsevier B.V. All rights reserved.