Development of a Vector Aerial Shape Analysis Module：A Case Study of Urban Built-up Area Analysis
| Autor: | Lai, Jheng-Hong, 賴政宏 |
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| Rok vydání: | 2017 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 105 Recently, With the increase of the open data, the spatial data is becoming more and more abundant. It helps establish the important basis of the related research and decision-making. In the geographic information systems nowadays, it also adds in kinds of modules of spatial analysis, in turns to help researcher do data-processing and analysis more quickly and conveniently. However, the analysis functions in current geographic information systems of the loosely grouped tools set are not well structured. On opposite of a few modules such as, point pattern analysis, network analysis and some spatial statistic functions, they are more systematic than others. This paper trys to develop a framework for vector aerial shape analysis and implements a module for area shape analysis in ArcPy. It can assist researchers with built-up area, landscape metrics, and polygon data of space analysis. In the module development, this paper adopts Python2.7 version program language and ArcPy to adopt object oriented and modular frame to design analytical modules. After module developing and the verification of the test data, it can ensure the module to be available and correct. At the end, this paper takes Land Use Investigation Data of Taiwan as example to execute the exploratory spatial data analysis. It aims at using this module development to achieve the shift and the automated explorations of the aerial shape analysis of the built-up area in Taoyuan City. In the example of this implementation case, this paper uses the Land Use Investigation Data from 1993~2008 and selects the built-up areas. Via the data of built-up area use, it takes advantages of these functions of the module and the current analytical functions of ArcGIS; By this way, we can verify the changes in urban spatial pattern in Taoyuan City from 1993~2008. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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