許多GIS分析或模擬都是建立在網格式的資料結構上，而以一定大小的方格作為分析的基本空間單元。然而，由於一直以來缺乏網格大小(cell size)影響地理或都市暨區域空間分析的基礎研究，多數研究皆是以直覺、或經驗法則的方式來決定網格大小，而使得分析結果在解釋應用的限制不是很明確。
　　網格大小對空間分析所造成影響的問題稱之為可調整區域單元問題(MAUP)為Openshaw於1984年所提出。MAUP指出空間單元的大小與組合方式會產生尺度效應與區劃效應而對空間分析模擬結果造成的影響。Jelinski和Wu(1996)認為從階層理論(hierarchy)和多尺度的觀點去看，MAUP將不構成一項真正的問題，反之它可以反映出真實世界的本質是具有層級架構的。換言之，較小的網格可以記錄到鄰里或社區較低層級的空間特徵，大的網格則只能記錄較高層級的空間特徵。
　　為探討網格大小與空間尺度的關係，有別於過去僅使用一種網格大小的分析方式，本研究使用1/1000地形圖為基礎所調查得到的土地使用圖來進行1至1500公尺不同網格大小的網格化，來比較不同網格大小所呈現土地使用圖的差異。研究內容包括兩個部分：一為空間尺度偵測，使用ANOVA變異數分析方法來檢定兩個不同網格大小的土地使用圖是否存在顯著的差異，並依據檢定結果來繪製層級圖。二為都市階層分析，納入空間區位的概念，使用熱點分析的方法視覺化呈現出不同層級、不同網格解析度下的都市商業群聚型態。
　　本研究成果顯示由1至1500公尺共區別出19個層級，每個層級皆有一定網格大小範圍的尺度域，尺度越小的網格解析度層級越頻繁、土地使用資料庫之間越容易產生差異。而不同層級的尺度域並分別反映出鄰里、社區、地區、區域尺度等不同尺度的都市階層。

　　GIS spatial analyses and simulations have long been based on of raster database with a rectangular cell as a basic spatial unit (BSU). Due to the lack of research of the effect of grid size on spatial analyses of geography or urban phenomenon, the potential ecological fallacy may occur because of the ignored.
　　It’s called Modifiable Areal Unit Problem (MAUP), arising from the imposition of artificial BSU resulting in the generation of artificial spatial patterns. It represents two distinct but related components: scale effect and aggregation effect, which is the effect of BSU size and the grouping way of BSU on spatial analyses. From the perspective of hierarchical theory, Jelinski and Wu (1996) argued the MAUP is not really a problem; whereas, it may reflect the nature of the real world that is hierarchically structured. The smaller grid size may reflect the neighborhood or community scale, but the bigger grid size may lose some detail of spatial characters and represent the regional or metropolitan scale.
　　Compare with previous studies which used only one cell size in simulation, the paper explored the spatial scale of GIS cell resolution, rasterizing the vector land-use map with grid size from 1m to 1500m. Two contents were performed: the first was the level graph from the detection of spatial scale, using one-way ANOVA test to compare the effect of different grid sizes on land-use database; another was the visualization of urban hierarchy, using Hot-Spots analysis to present the business cluster pattern of different levels.
　　The result is 19 levels divided from 1m to 1500m different grid sizes, and every level has a domain of scale with a range of grid size. The effect of the lower cell resolution on the land-use database is larger. Every domain of scale in different levels could reflect urban hierarchy such as neighborhood, community, regional, CBD.

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網路部分 (Date visited: June, 2007)
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