Pub Date : 2023-11-22DOI: 10.1007/s10708-023-10982-8
Simbarashe Jombo, Samuel Adelabu
{"title":"Evaluating Landsat-8, Landsat-9 and Sentinel-2 imageries in land use and land cover (LULC) classification in a heterogeneous urban area","authors":"Simbarashe Jombo, Samuel Adelabu","doi":"10.1007/s10708-023-10982-8","DOIUrl":"https://doi.org/10.1007/s10708-023-10982-8","url":null,"abstract":"","PeriodicalId":51384,"journal":{"name":"GEOJOURNAL","volume":"2 2","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139248048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-22DOI: 10.1007/s10708-023-10991-7
T. N. Sahu, Sudarshan Maity, Manjari Yadav
{"title":"Women migrant workers from the backward remote districts of West Bengal: life of utter miseries","authors":"T. N. Sahu, Sudarshan Maity, Manjari Yadav","doi":"10.1007/s10708-023-10991-7","DOIUrl":"https://doi.org/10.1007/s10708-023-10991-7","url":null,"abstract":"","PeriodicalId":51384,"journal":{"name":"GEOJOURNAL","volume":"1 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139248378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-22DOI: 10.1007/s10708-023-10976-6
Fadi Sayegh
{"title":"Proactive sustainable decision-making and climate change awareness: a Canadian study","authors":"Fadi Sayegh","doi":"10.1007/s10708-023-10976-6","DOIUrl":"https://doi.org/10.1007/s10708-023-10976-6","url":null,"abstract":"","PeriodicalId":51384,"journal":{"name":"GEOJOURNAL","volume":"20 2","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139246910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-21DOI: 10.1007/s10708-023-10939-x
Juta Kawalerowicz, A. Cederström, Eva K. Andersson, Bo Malmberg
{"title":"COVID-19 in the neighbourhood: the socio-spatial selectivity of severe COVID-19 cases in Sweden, March 2020–June 2021","authors":"Juta Kawalerowicz, A. Cederström, Eva K. Andersson, Bo Malmberg","doi":"10.1007/s10708-023-10939-x","DOIUrl":"https://doi.org/10.1007/s10708-023-10939-x","url":null,"abstract":"","PeriodicalId":51384,"journal":{"name":"GEOJOURNAL","volume":"12 4","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139252932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-20DOI: 10.1007/s10708-023-10983-7
Wahyu Saputra, S. Giyarsih, S. Muhidin
{"title":"Spatial analysis of slum areas on the riverbanks of Palembang City using the Anselin Local Moran’s I analysis","authors":"Wahyu Saputra, S. Giyarsih, S. Muhidin","doi":"10.1007/s10708-023-10983-7","DOIUrl":"https://doi.org/10.1007/s10708-023-10983-7","url":null,"abstract":"","PeriodicalId":51384,"journal":{"name":"GEOJOURNAL","volume":"248 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139257984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-13DOI: 10.1007/s10708-023-10966-8
Rosa Bernardini Papalia, Giorgia Scognamiglio
Abstract The analysis of environmental issues and the pursuit of environmental justice have gained significant attention in modern times. While progress has been made in understanding environmental impacts and establishing the right to access environmental information, the need to examine environmental inequalities persists. This study aimed to propose a methodology to identify and analyse potential ‘sacrifice zones’ within a region of interest using: (i) Exploratory Spatial Data Analysis (ESDA), (ii) Municipal Risk Indicators, and (iii) Spatial Autoregressive (SAR) models. The relationship between environmental hazards and social disadvantage in the Campania region of Italy was estimated and the findings of this preliminary study in this area are presented. Our preliminary results: (i) reveal a non-random distribution of contaminated sites and waste management plants (ii) localize the ‘sacrifice zones’ that are predominantly located in municipalities between the provinces of Naples and Caserta, (iii) show a disproportionately burdened with higher environmental risk and greater social vulnerability in some specific areas. Further investigations are required to replicate the results of this study under different environmental conditions. Additionally, enabling more precise identification of affected populations and areas subjected to heightened environmental pressures that would enhance the potential of the proposed approach. The proposed methodology can be adapted to different spatial contexts and data sources.
{"title":"Environmental justice: geostatistical analysis of environmental hazards and socioeconomic factors—the case of Italy","authors":"Rosa Bernardini Papalia, Giorgia Scognamiglio","doi":"10.1007/s10708-023-10966-8","DOIUrl":"https://doi.org/10.1007/s10708-023-10966-8","url":null,"abstract":"Abstract The analysis of environmental issues and the pursuit of environmental justice have gained significant attention in modern times. While progress has been made in understanding environmental impacts and establishing the right to access environmental information, the need to examine environmental inequalities persists. This study aimed to propose a methodology to identify and analyse potential ‘sacrifice zones’ within a region of interest using: (i) Exploratory Spatial Data Analysis (ESDA), (ii) Municipal Risk Indicators, and (iii) Spatial Autoregressive (SAR) models. The relationship between environmental hazards and social disadvantage in the Campania region of Italy was estimated and the findings of this preliminary study in this area are presented. Our preliminary results: (i) reveal a non-random distribution of contaminated sites and waste management plants (ii) localize the ‘sacrifice zones’ that are predominantly located in municipalities between the provinces of Naples and Caserta, (iii) show a disproportionately burdened with higher environmental risk and greater social vulnerability in some specific areas. Further investigations are required to replicate the results of this study under different environmental conditions. Additionally, enabling more precise identification of affected populations and areas subjected to heightened environmental pressures that would enhance the potential of the proposed approach. The proposed methodology can be adapted to different spatial contexts and data sources.","PeriodicalId":51384,"journal":{"name":"GEOJOURNAL","volume":"12 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136282616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-11DOI: 10.1007/s10708-023-10979-3
Samidh Pal
Abstract This paper investigates the inter-regional intra-industry disparity within selected Indian manufacturing industries and industrial states. The study uses three measures—the Output-Capital Ratio, the Capital-Labor Ratio, and the Output-Labor Ratio—to critically evaluate the level of disparity in average efficiency of labor and capital, as well as capital intensity. Additionally, the paper compares the rate of disparity of per capita income between six major industrial states. The study finds that underutilization of capacity is driven by an unequal distribution of high-skilled labor supply and upgraded technologies. To address these disparities, the paper suggests that policymakers campaign for labor training and technology promotion schemes throughout all regions of India. By doing so, the study argues, the country can reduce regional inequality and improve economic outcomes for all.
{"title":"A comparative study of inter-regional and intra-industry disparities","authors":"Samidh Pal","doi":"10.1007/s10708-023-10979-3","DOIUrl":"https://doi.org/10.1007/s10708-023-10979-3","url":null,"abstract":"Abstract This paper investigates the inter-regional intra-industry disparity within selected Indian manufacturing industries and industrial states. The study uses three measures—the Output-Capital Ratio, the Capital-Labor Ratio, and the Output-Labor Ratio—to critically evaluate the level of disparity in average efficiency of labor and capital, as well as capital intensity. Additionally, the paper compares the rate of disparity of per capita income between six major industrial states. The study finds that underutilization of capacity is driven by an unequal distribution of high-skilled labor supply and upgraded technologies. To address these disparities, the paper suggests that policymakers campaign for labor training and technology promotion schemes throughout all regions of India. By doing so, the study argues, the country can reduce regional inequality and improve economic outcomes for all.","PeriodicalId":51384,"journal":{"name":"GEOJOURNAL","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135041693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-09DOI: 10.1007/s10708-023-10972-w
Ali Younes, Bahaa Mohamadi, Mohamed O. AbuGhazala
{"title":"Terrorism in Egypt: a comprehensive spatial, spatio-temporal, and statistical analysis","authors":"Ali Younes, Bahaa Mohamadi, Mohamed O. AbuGhazala","doi":"10.1007/s10708-023-10972-w","DOIUrl":"https://doi.org/10.1007/s10708-023-10972-w","url":null,"abstract":"","PeriodicalId":51384,"journal":{"name":"GEOJOURNAL","volume":" 22","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135241321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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