A Study on the Analysis for Urban Landscape Metrics by Using Grid-Geometric Technique
| Autor: | Pei-ju Wang, 王姵茹 |
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| Rok vydání: | 2012 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 100 The rapid change of economic development causes the urban environment to be deteriorating, the concept of global sustainable development has been frequently discussed. Considerations beyond the basic social and economic development, ecology and conservation must equally be taken into account. Thus, the concept of landscape ecology is integrated into the concept of urban planning, in order to improve the overall quality of urban environment. Grid-map data is used to be applied to analyze to understand the whole landscape structure of the urban. However, according to the previous researches, the calculation results of the landscape metrics can be influent by altering the grid size. But, the analysis of landscape metrics usually applies only one kind of grid in a few studies in the past. In theory, the results of the landscape structure analysis will be effected depend to the changes in grid size, origin shift and axis rotation. Therefore, this study will analyze the empirical study by altering the grid size, the origin of grid coordinates and axis rotation angle produced by different cases bases on grid-geometric technique (G2T) method as a research method. The FRAGSTATS software was used to analyze the landscape metrics in this case. The result proves that the displacement of different grid size and grid origin will indeed affect the landscape metrics results. When the bigger the grid is, the land use is more likely to be homogenized. It means that the smaller land use area is, the more land use could be ignored. The conclusion matches the previous relevant researches. For example, the results of altering the origin shift, not only can identify the approximate maximum and minimum values of the calculation results of landscape metrics, but also can identify the difference of the landscape metrics value between different shift grids. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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