PROFILE A New Method for Predicting Vegetation Distributions using Decision Tree Analysis in a Geographic Information System
PROFILE A New Method for Predicting Vegetation Distributions using Decision Tree Analysis in a Geographic Information System
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简介在地理信息系统中使用决策树分析预测植被分布的新方法
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通讯作者：
B. Lees
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作者：
D. M. Moore;B. Lees
决策树分析用于预测新南威尔士州南海岸地区森林群落的分布。澳大利亚，利用地理信息系统环境数据库进行分析，该数据库包含被认为影响植被分布并源自制图来源的地形和地质变量。由此产生的森林群落地图的分辨率足以界定各个林分并包含大量生态信息。澳大利亚环境管理的一个主要优先事项是开发具有成本效益的方法来绘制原始森林图。目的是制作这些森林的地图，不仅提供有关木材资源的位置和范围的信息，还提供生态信息，以帮助森林管理者制定和实施多用途管理政策。出于森林管理的目的，植被地图应具有足够的分辨率来界定林分，林分是由单个社区占据的连续区域。此类地图将显示管理区内森林群落的范围。由于许多森林的规模和性质高度可变，以如此精细的分辨率对森林群落进行调查是一项劳动密集型且成本高昂的工作。这些森林中的大多数植被调查都采用了实地工作和图像解释的结合，有时还结合了卫星图像分析。这些不是替代的 ntapping 方法。摄影解译可以极大地帮助人工调查，并且根据航空照片或卫星数据制作可靠的植被地图需要大量投资用于解释和验证的实地工作（Zonneveld 1988）。最初，多光谱卫星坝似乎可以通过数字分析来生成植被地图，而无需投入很少的劳动力。这样的大坝似乎具有作为廉价、易于升级的巨大潜力。
Decision tree analysis was used to predict the distribution of forest communities in an area on the south coast of New South Wales. Australia, The analysis was carried out using a geographical information system environmental data base of those topographic and geological variables thought to influence the distribution of vegetation and derived from cartographic sources. The resulting maps of forest communities are of a resolution sufficient to delimit individual forest stands and contain much ecological information. A major priority of environmental ntanagement in Australia is the developntent of cost-effective methods for mapping native forests. The aim is to produce maps of these forests that provide information not only about the location and extent of timber resources, but also ecological information to assist forest HI~:lltagers in developing and implententing muhiuse management policies. For forest managentent purposes, vegetation maps should be of sufficient resolution to delimit forest stands, which are contiguous regions occupied by a single community. Such maps would show the extent of forest communities within ntanagement compartments. Survey of forest communities at such fine resolutions is a labor-intensive and costly exercise because of the size and highly variable nature of many of the forests. Most vegetation surveys in these torests employ some combination of field work and phutointerpretation, sometimes in conjunction with satellite image analysis. These are not alternative ntapping ntethods. Manual survey can be assisted greatly by photointerpretation, and the production of reliable vegetation maps from aerial photographs or satellite data requires a significant investment of field work for interpretation and verification (Zonneveld 1988). htitially it appeared that multispectral satellite dam could be digitally analyzed to produce vegetation maps with little investment of labor. Such dam would appear to have great potential as a cheap, readily updaud)le