Pâmela da Silva Gaedke, Marciel Lohmann, Rafael Pietroski Galvão
{"title":"隆德里纳/PR城区社会环境脆弱性识别的主成分分析","authors":"Pâmela da Silva Gaedke, Marciel Lohmann, Rafael Pietroski Galvão","doi":"10.26895/geosaberes.v11i0.963","DOIUrl":null,"url":null,"abstract":"Socio-environmental analyzes seek the interrelation of economic, social and environmental aspects and the balance between them. Therefore, the objective of this work is to identify the socio-environmental vulnerability of the urban area of Londrina at the level of the census sector, delimiting the proximity to the water bodies and the use of the statistical method of Principal Component Analysis. Maps of social, environmental risk and socio-environmental vulnerability were generated, where it was found that sectors located near to water bodies represented high and very high vulnerability. However many of these sectors had low or very low social vulnerability. In view of the analysis, it was found that the variables that showed greater influence in the definition of vulnerability, are mainly related to the disposal of garbage, toilets and water supply.","PeriodicalId":41550,"journal":{"name":"Geosaberes","volume":"11 1","pages":"693"},"PeriodicalIF":0.1000,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ANÁLISE DE COMPONENTES PRINCIPAIS APLICADA À IDENTIFICAÇÃO DA VULNERABILIDADE SOCIOAMBIENTAL NA ÁREA URBANA DE LONDRINA/PR\",\"authors\":\"Pâmela da Silva Gaedke, Marciel Lohmann, Rafael Pietroski Galvão\",\"doi\":\"10.26895/geosaberes.v11i0.963\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Socio-environmental analyzes seek the interrelation of economic, social and environmental aspects and the balance between them. Therefore, the objective of this work is to identify the socio-environmental vulnerability of the urban area of Londrina at the level of the census sector, delimiting the proximity to the water bodies and the use of the statistical method of Principal Component Analysis. Maps of social, environmental risk and socio-environmental vulnerability were generated, where it was found that sectors located near to water bodies represented high and very high vulnerability. However many of these sectors had low or very low social vulnerability. In view of the analysis, it was found that the variables that showed greater influence in the definition of vulnerability, are mainly related to the disposal of garbage, toilets and water supply.\",\"PeriodicalId\":41550,\"journal\":{\"name\":\"Geosaberes\",\"volume\":\"11 1\",\"pages\":\"693\"},\"PeriodicalIF\":0.1000,\"publicationDate\":\"2020-11-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geosaberes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26895/geosaberes.v11i0.963\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geosaberes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26895/geosaberes.v11i0.963","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
ANÁLISE DE COMPONENTES PRINCIPAIS APLICADA À IDENTIFICAÇÃO DA VULNERABILIDADE SOCIOAMBIENTAL NA ÁREA URBANA DE LONDRINA/PR
Socio-environmental analyzes seek the interrelation of economic, social and environmental aspects and the balance between them. Therefore, the objective of this work is to identify the socio-environmental vulnerability of the urban area of Londrina at the level of the census sector, delimiting the proximity to the water bodies and the use of the statistical method of Principal Component Analysis. Maps of social, environmental risk and socio-environmental vulnerability were generated, where it was found that sectors located near to water bodies represented high and very high vulnerability. However many of these sectors had low or very low social vulnerability. In view of the analysis, it was found that the variables that showed greater influence in the definition of vulnerability, are mainly related to the disposal of garbage, toilets and water supply.