19世紀發展至今的景觀生態學之核心原理分別為地理學的格局以及生態學的原理。景觀具有多尺度(multiple scale)的特性，在不同尺度下的景觀格局(landscape pattern )描述皆不相同，且尺度的瞭解有助於景觀生態學在景觀格局、景觀過程之尺度間相關關係的釐清。目前在整體景觀格局的描述，主要有三種方式：1) 通過文字敘述；2)通過圖、表描述；3)運用景觀指數(Landscape Metrics)。此三種方法中景觀指數最為科學化與客觀，可利用景觀指數探討景觀的結構形式、大小、破碎程度等，但大多都缺乏尺度的概念，我們瞭解，單一尺度的分析結果是無法運用在其他尺度上，因將發生難以解釋的空間特徵，造成運用上的侷限性，未來解決方向應為多尺度發展。
本研究以2007年2月台南地區衛星影像做為資料基礎，利用景觀指數建立景觀元素的判釋，並使用Openshaw et al.所發展的GAM的點空間模型分析方法(GAM point spatial pattern)，利用其軟體具有分析不同尺度空間類聚的特性，建立以個體資料為基礎的景觀結構，經由GAM的搜尋演算法探索整體景觀空間不同尺度的型態後，根據其空間群聚的範圍與強度協助判斷嵌塊體、廊道與基質，再加以描述集分析其空間特性並提出規劃建議。

The development of the landscape ecology since the 19th century, the core issue of landscape ecology is the scale problem. Landscape with multi-scale characteristics of the different scales of landscape pattern, none could describe the same measure of understanding and contribute to landscape ecology in landscape pattern, landscape-scale process of clarifying the relationship between the relevant, but now for the spatial scale of the study was less to investigate. At present the description of the overall landscape pattern, mainly in three ways: 1) through the narrative; 2) through maps, tables description; 3) the use of Landscape Metrics. Landscape Metrics is the most scientific and objective in three ways, such as the use of landscape indices of landscape structure, size, degree of fragmentation, but don’t concept of scale, we understand that a single-scale analysis of the results can not be used in other scales, it will difficult to explain the spatial characteristics, resulting in the use of the limitations of a future settlement should be directed towards the development of multi-scale.
In this study, to use landscape metrics to create sub-elements in the landscape interpretation, and use the GAM analysis of the point-space model which is developed by Openshaw, try to export the continuity of spatial scale issues. The establishments of an individual based on the information landscape spatial pattern, the use of GAM’s search algorithm to explore the overall landscape patterns at different scales of space, combined with the analysis results show the exploration of different scales.

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網路資源：
1. GAM:Cluster hunting software：http://www.ccg.leeds.ac.uk/projects/smart/