| 基于地理处理建模的珍稀特有植物空间分布识别方法 |
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| 引用本文： | 阚瑷珂,王绪本,高志勇,汪刘艳,龚建辉. 基于地理处理建模的珍稀特有植物空间分布识别方法[J]. 地理与地理信息科学, 2009, 25(5) |
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| 作者姓名： | 阚瑷珂 王绪本 高志勇 汪刘艳 龚建辉 |
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| 作者单位： | 西华师范大学国土资源学院,四川,南充,637002;成都理工大学信息工程学院,四川,成都,610059;西藏自治区科技信息研究所,西藏,拉萨,850001;四川省遥感信息测绘院,四川,成都,610100 |
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| 基金项目： | "中国-比利时"国际科技合作项目，西藏自治区重大科技计划项目 |
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| 摘 要： | 基于ArcGIS地理处理建模与模型集成技术,提出一种在生态环境GIS中整合植物生境建模的实现方法.依据提取经验知识中的生境因子建立模型,提供交互工具在电子地图上勾画调查范围,再由系统驱动生境模型完成植物空间分布识别.最后,对珠峰自然保护区3种珍稀特有树种分布进行了模型识别应用实验.结果表明:基于地理处理的生境建模在大量基础资料匮乏的情况下,可对物种保护规划、资源量调查和估算、巡护路线制定等提供辅助和参考.同时,结合GIS实现建模工具集成,在模型运行效率、模型的交互性与可扩展性、模型集成的灵活度等方面都具有一定优势,在实地调研条件有限的情况下具备较强的可操作性和实用性.
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| 关 键 词： | 地理处理 模型集成 空间分布识别 珍稀特有树种 |
A Method of Identifying the Spatial Distribution of Rare and Endemic Vegetation Based on Geoprocessing Modeling |
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| KAN Ai-ke,WANG Xu-ben,GAO Zhi-yong,WANG Liu-yan,GONG Jian-hui. A Method of Identifying the Spatial Distribution of Rare and Endemic Vegetation Based on Geoprocessing Modeling[J]. Geography and Geo-Information Science, 2009, 25(5) |
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| Authors: | KAN Ai-ke WANG Xu-ben GAO Zhi-yong WANG Liu-yan GONG Jian-hui |
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| Affiliation: | KAN Ai-ke1,WANG Xu-ben2,GAO Zhi-yong3,WANG Liu-yan3,GONG Jian-hui4(1.College of L, Resource,China West Normal University,Nanchong 637002,2.College of Information Engineering,Chengdu University of Technology,Chengdu 610059,3.Tibet Autonomous Region Science & Information Technology Institute,Lhasa 850001,4.Sichuan Surveying , Mapping Institute of Remote Sensing Information,Chengdu 610100,China) |
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| Abstract: | In this paper,a method of vegetation habitat modeling that based on ArcGIS geoprocessing modeling is presented,and the interactive modeling tool in the ecological environment GIS is integrated.Firstly,a geoprocessing model is constructed according as related habitat factors extracted from empirical knowledge,secondly,interactive tool is provided for users to outline the survey scope of the vegetation distribution in the electronic map,and finally,the habitat model computing is driven by using GIS to identif... |
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| Keywords: | geoprocessing model integration identification of the spatial distribution rare and endemic tree species |
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