用于跟踪城市环境动态的免费和开放数据的分析和基于gis的建模:保加利亚索非亚案例研究

Tamara Ilieva
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引用次数: 0

摘要

地理信息系统(GIS)是跟踪城市环境变化的主要工具之一。它们不仅可以用来分析地域现象,还可以用来推导时空模型和趋势。本研究使用了来自哥白尼、开放地图和索非亚市城市发展计划的免费和开放获取数据作为来源。地形、土地覆盖、建筑物、街道网络等数据层被一起分析。来自国家统计研究所的数据也被用来支持对城市环境动态的分析。索菲亚是保加利亚的首都,在过去的15年里,它一直是这个国家最具活力变化的城市。通过使用上述数据和地理信息系统的功能,可以自动定位变化最密集的地区。利用二维和三维模型充分展示了城市环境的时空动态。数据按地区进行处理,然后合并索非亚市全境的数据。利用免费开源软件QGIS对模型进行分析和推导。采用Qgis2threejs对数据进行三维表示和建模。数据采集的时间间隔是从2006年到现在,这使得这项研究具有相关性。研究结果可为规划本港发展以至改善居住环境的决策提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALYSIS AND GIS-BASED MODELING OF FREE AND OPEN DATA FOR TRACKING THE DYNAMICS OF THE URBAN ENVIRONMENT: CASE STUDY FOR SOFIA, BULGARIA
The Geographic Information Systems (GIS) are one of the main tools through which changes in the urban environment can be tracked. They can be used to analyze processes not only as territorial phenomena, but also to derive spatio-temporal models and trends. Free and open access data was used for the present study � from Copernicus, OpenStreetMap and the Urban Development Plan of Sofia Municipality were used as sources. Data layers for the terrain, land cover, buildings, street network and others were analyzed together. Data from the National Statistical Institute was also used to support the analysis of the dynamics of urban environment. Sofia is the capital of Bulgaria and for the last 15 years it has been the most dynamically changing city in the country. By using the data described above and the functionality of GIS, it is possible to automate the process of locating the areas with the most intensive changes. Two-dimensional and three-dimensional modeling was used to adequately demonstrate the temporal and spatial dynamics of the urban environment. The data is processed by regions and then combined for the whole territory of Sofia Municipality. Free opensource software QGIS is used for the analysis and deriving the models. Qgis2threejs was used in the three-dimensional representation and modeling of the data. The time interval for which data were taken is from 2006 to the present, which makes the study relevant. The results can be useful for decision making related to planning the development of the territory and even for improving the living environment.
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