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利用地理信息系统对新西兰自然景观进行特征描述的解决方案。

Solutions for characterising natural landscapes in New Zealand using geographical information systems.

作者信息

Brabyn Lars

机构信息

Department of Geography, Faculty of Arts and Sciences, University of Waikato, Private Bag 3105, Hamilton, New Zealand.

出版信息

J Environ Manage. 2005 Jul;76(1):23-34. doi: 10.1016/j.jenvman.2005.01.005.

Abstract

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.

摘要

本文探讨了利用地理信息系统(GIS)来表征与视觉景观相关的自然度的解决方案。文中指出,规划者需要识别自然景观并监测其范围的变化。正如已开发出的用于描述经济状况的指标一样,也需要开发监测自然景观状况的指标。文中概述了表征自然景观的复杂性,但认为有必要制定能够通过GIS实施的自然景观定义。这将具备技术效率的优势,且定义明确,实施独立于操作人员。文中提供了几种GIS解决方案,包括土地覆盖分析、道路和公用设施密度分析以及房产面积分析。房产面积分析对景观的许多人为改变很敏感,因为许多开发项目始于房产细分。然而,本文认为单一的定义并不足够,这三种方法都能为自然景观特征提供不同但重要的见解。展示了基于指标多数值的自然度综合分类以及一系列表达综合分类不确定性的技术。

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