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首页> 外文期刊>Journal of Environmental Management >Solutions for characterising natural landscapes in New Zealand using geographical information systems
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Solutions for characterising natural landscapes in New Zealand using geographical information systems

机译：使用地理信息系统描述新西兰自然景观的解决方案

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摘要

This paper explores solutions for characterising naturalness in relation to visual landscapes using Geographical Information System (GIS). It is argued that planners need to identify natural landscapes and monitor changes in their extent. Just like the indices that have been developed to describe the state of the economy, indices need to be developed that monitor the state of natural landscapes. The complications in characterising natural landscapes are outlined but it is argued that there is a need to develop definitions of natural landscapes that can be operationalised with a GIS. This will have the advantages of the efficiency of the technology and that the definition will be explicit and the implementation will be independent of the operator. Several GIS solutions are provided and these are an analysis of landcover, a density analysis of roads and utilities, and an analysis of property sizes. The analysis of property sizes is sensitive to many human modifications of the landscape because many developments begin with the subdivision of properties. However, it is argued in this paper that no one definition will suffice and that all three methods provide different, yet important, insights into natural landscape character. An aggregate classification of naturalness based on the majority value of the indices is demonstrated as well as a range of techniques for expressing the uncertainty of the aggregate classification.
机译：本文探讨了使用地理信息系统（GIS）表征与视觉景观相关的自然性的解决方案。有人认为，规划者需要确定自然景观并监测其范围的变化。就像为描述经济状况而开发的指标一样，也需要制定监测自然景观状况的指标。概述了表征自然景观的复杂性，但有人认为有必要开发可通过GIS进行操作的自然景观的定义。这将具有技术效率高的优点，并且定义将是明确的，并且实现将独立于操作员。提供了几种GIS解决方案，包括土地覆盖物分析，道路和公用事业的密度分析以及物业规模分析。属性大小的分析对许多人类对景观的修改很敏感，因为许多开发都是从属性细分开始的。但是，本文认为没有一个定义可以满足要求，并且这三种方法都提供了对自然景观特征的不同但重要的见解。证明了基于指标的多数值的自然度的汇总分类，以及一系列表示汇总分类的不确定性的技术。

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