印度旁遮普阿姆利则城市扩张模式的地理空间分析

M. Minakshi, Shivani Singh, B. Pateriya
{"title":"印度旁遮普阿姆利则城市扩张模式的地理空间分析","authors":"M. Minakshi, Shivani Singh, B. Pateriya","doi":"10.5120/IJAIS2017451636","DOIUrl":null,"url":null,"abstract":"Amritsar is the largest and most important city in northern Punjab. Amritsar serves as a major commercial, cultural, and transportation hub with Golden Temple & Raja Sansi international airport. It lies about 25 km east of the border with Pakistan and gateway for travelers coming to India on the overland route from central Asia. The present study attempts to understand, detect and quantify the spatial pattern of Amritsar urban sprawl using Shannon’s entropy and multitemporal satellite images acquired for the period from 1972 to 2015. Shannon’s entropy has been used to model the city’s urban sprawl, trend and spatial change. The entropy values for the different grids were modeled and the interpolation function in ArcGIS is used to obtain an entropy surface for each acquired temporal image. The entropy surface index indicates the spatial pattern of the urban sprawl and facilitates to visual assess the entropy phenomenon in all the grids. The value of Shannon’s entropy index increased from (0.40) in year 1972 to (0.97) in year 2015, indicating more dispersed urban growth, an indication of urban sprawl. Results obtained from entropy indices help in understanding the sprawl patterns and dynamics among different grids and provide a visual comparison which facilitates the decision makers and city planners for measuring the urban sprawl required for mega cities.","PeriodicalId":92376,"journal":{"name":"International journal of applied information systems","volume":"306 1","pages":"8-14"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Geospatial Analysis of Urban Sprawl Patterns in Amritsar City, Punjab, India\",\"authors\":\"M. Minakshi, Shivani Singh, B. Pateriya\",\"doi\":\"10.5120/IJAIS2017451636\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Amritsar is the largest and most important city in northern Punjab. Amritsar serves as a major commercial, cultural, and transportation hub with Golden Temple & Raja Sansi international airport. It lies about 25 km east of the border with Pakistan and gateway for travelers coming to India on the overland route from central Asia. The present study attempts to understand, detect and quantify the spatial pattern of Amritsar urban sprawl using Shannon’s entropy and multitemporal satellite images acquired for the period from 1972 to 2015. Shannon’s entropy has been used to model the city’s urban sprawl, trend and spatial change. The entropy values for the different grids were modeled and the interpolation function in ArcGIS is used to obtain an entropy surface for each acquired temporal image. The entropy surface index indicates the spatial pattern of the urban sprawl and facilitates to visual assess the entropy phenomenon in all the grids. The value of Shannon’s entropy index increased from (0.40) in year 1972 to (0.97) in year 2015, indicating more dispersed urban growth, an indication of urban sprawl. Results obtained from entropy indices help in understanding the sprawl patterns and dynamics among different grids and provide a visual comparison which facilitates the decision makers and city planners for measuring the urban sprawl required for mega cities.\",\"PeriodicalId\":92376,\"journal\":{\"name\":\"International journal of applied information systems\",\"volume\":\"306 1\",\"pages\":\"8-14\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of applied information systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5120/IJAIS2017451636\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of applied information systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5120/IJAIS2017451636","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

阿姆利则是旁遮普北部最大、最重要的城市。阿姆利则是一个主要的商业、文化和交通枢纽,拥有金庙和拉贾桑西国际机场。它位于与巴基斯坦边界以东约25公里处,是从中亚陆路进入印度的旅行者的门户。本研究试图利用香农熵和1972 - 2015年的多时相卫星图像来理解、检测和量化阿姆利则城市扩张的空间格局。香农熵被用来模拟城市的扩张、趋势和空间变化。对不同网格的熵值进行建模,利用ArcGIS中的插值函数对每幅获取的时间图像进行熵曲面的计算。熵面指数反映了城市扩张的空间格局,便于直观地评价各网格上的熵现象。Shannon’s熵指数由1972年的(0.40)增加到2015年的(0.97),表明城市增长更加分散,表明城市蔓延。熵指数的结果有助于理解不同网格间的城市扩张模式和动态,并为决策者和城市规划者衡量超大城市所需的城市扩张提供直观的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geospatial Analysis of Urban Sprawl Patterns in Amritsar City, Punjab, India
Amritsar is the largest and most important city in northern Punjab. Amritsar serves as a major commercial, cultural, and transportation hub with Golden Temple & Raja Sansi international airport. It lies about 25 km east of the border with Pakistan and gateway for travelers coming to India on the overland route from central Asia. The present study attempts to understand, detect and quantify the spatial pattern of Amritsar urban sprawl using Shannon’s entropy and multitemporal satellite images acquired for the period from 1972 to 2015. Shannon’s entropy has been used to model the city’s urban sprawl, trend and spatial change. The entropy values for the different grids were modeled and the interpolation function in ArcGIS is used to obtain an entropy surface for each acquired temporal image. The entropy surface index indicates the spatial pattern of the urban sprawl and facilitates to visual assess the entropy phenomenon in all the grids. The value of Shannon’s entropy index increased from (0.40) in year 1972 to (0.97) in year 2015, indicating more dispersed urban growth, an indication of urban sprawl. Results obtained from entropy indices help in understanding the sprawl patterns and dynamics among different grids and provide a visual comparison which facilitates the decision makers and city planners for measuring the urban sprawl required for mega cities.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信