将空间分析应用于城市路网和人口分布指标,以确定安哥拉的城市功能区

Aldino Miguel Francisco, G. Manzato
{"title":"将空间分析应用于城市路网和人口分布指标,以确定安哥拉的城市功能区","authors":"Aldino Miguel Francisco, G. Manzato","doi":"10.17271/23188472118420233617","DOIUrl":null,"url":null,"abstract":"This research aimed to carry out an exploratory analysis on Functional Urban Regions (FURs) in Angola. Thus, two groups of data were used, road network and population, which were analyzed through Exploratory Spatial Data Analysis (ESDA). Road network data were extracted from the OpenStreetMap project and population data from the National Institute of Statistics (INE, 2020). Computational tools were used, namely: QGIS and GeoDa for the analyses. The results were presented by means of thematic maps, box maps and Moran index and p-value. There was greater spatial homogeneity for the Road Network Population Density (DPV) indicator, showing a good coincidence between the municipalities classified in the quadrant HH and the five most populous provinces in Angola.","PeriodicalId":250730,"journal":{"name":"Revista Nacional de Gerenciamento de Cidades","volume":"118 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial analysis applied to indicators of urban road network and population distribution for the identification of Functional Urban Regions in Angola\",\"authors\":\"Aldino Miguel Francisco, G. Manzato\",\"doi\":\"10.17271/23188472118420233617\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research aimed to carry out an exploratory analysis on Functional Urban Regions (FURs) in Angola. Thus, two groups of data were used, road network and population, which were analyzed through Exploratory Spatial Data Analysis (ESDA). Road network data were extracted from the OpenStreetMap project and population data from the National Institute of Statistics (INE, 2020). Computational tools were used, namely: QGIS and GeoDa for the analyses. The results were presented by means of thematic maps, box maps and Moran index and p-value. There was greater spatial homogeneity for the Road Network Population Density (DPV) indicator, showing a good coincidence between the municipalities classified in the quadrant HH and the five most populous provinces in Angola.\",\"PeriodicalId\":250730,\"journal\":{\"name\":\"Revista Nacional de Gerenciamento de Cidades\",\"volume\":\"118 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista Nacional de Gerenciamento de Cidades\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17271/23188472118420233617\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Nacional de Gerenciamento de Cidades","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17271/23188472118420233617","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本研究旨在对安哥拉的城市功能区(FURs)进行探索性分析。因此,使用了两组数据,即路网和人口,并通过探索性空间数据分析(ESDA)对其进行了分析。路网数据来自 OpenStreetMap 项目,人口数据来自国家统计局(INE,2020 年)。使用的计算工具包括QGIS 和 GeoDa 用于分析。分析结果通过专题地图、方框图、莫兰指数和 p 值来呈现。路网人口密度(DPV)指标的空间同质性较高,显示出 HH 象限分类的市镇与安哥拉人口最多的五个省份之间存在很好的重合性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial analysis applied to indicators of urban road network and population distribution for the identification of Functional Urban Regions in Angola
This research aimed to carry out an exploratory analysis on Functional Urban Regions (FURs) in Angola. Thus, two groups of data were used, road network and population, which were analyzed through Exploratory Spatial Data Analysis (ESDA). Road network data were extracted from the OpenStreetMap project and population data from the National Institute of Statistics (INE, 2020). Computational tools were used, namely: QGIS and GeoDa for the analyses. The results were presented by means of thematic maps, box maps and Moran index and p-value. There was greater spatial homogeneity for the Road Network Population Density (DPV) indicator, showing a good coincidence between the municipalities classified in the quadrant HH and the five most populous provinces in Angola.
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