基于开放数据的灾害多发地区城镇演替研究
首发时间:2019-12-12
摘要:数据的开放对城镇化演变模式研究提供了一种新的思路。获取汶川灾区夜间灯光数据、POI数据和遥感影像,利用GIS技术提取出城镇灯光面积,利用Python爬虫获取POI密度,结合卫星影像分析震前震后城镇化发展,讨论灾后城镇的演变模式。研究表明:(1)沿龙门山断层两侧城镇化面积相差较大,断层西部城镇面积较少,东部城镇面积多,且新增灯光面积主要分布在东部,对比2005年与2007年和2007年与2012年的新增灯光面积,震后城镇的发展速度放缓。(2)震后灾区的城镇发展可分为原址重建、异地搬迁、原址扩张和收缩集中4种模式。(3)开放数据各有其优劣,需将各数据进行综合对比分析,挖掘真正正确有效的信息,从而更好的服务灾后评估。
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Research on Succession of Towns in Disaster-prone Areas Based on Open Data
Abstract:The openness of data provides a new idea for the study of urbanization evolution models. Obtain the night light data, POI data, and remote sensing images of the Wenchuan disaster area, use GIS technology to extract the urban light area, use Python crawlers to obtain the POI density, and use satellite imagery to analyze the pre-earthquake urbanization development and discuss the urban evolution pattern after the earthquake. Studies show that: (1) There is a large difference in the urbanization area along the two sides of the Longmen Mountain fault. There is less urban area in the western part of the fault, and more urban area in the east. The development of new lighting area slowed down because of the earthquake. (2) The urban development in the disaster-stricken area can be divided into four modes: original site reconstruction, relocation, original site expansion and contraction. (3) Open data has its own advantages and disadvantages. Comprehensive comparison and analysis of each data is needed to dig out true correct and effective information to better serve post-disaster assessment.
Keywords: Open data urbanization post-disaster reconstruction
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基于开放数据的灾害多发地区城镇演替研究
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