Pub Date : 2020-07-01DOI: 10.4018/ijagr.2020070105
G. Montejo, Amy E. Frazier
Urban quality of life studies increasingly incorporate both socio-economic and environmental factors into their analyses, yet few studies have explored how the socio-economic factors relate to the environmental conditions or how to statistically describe the spatial patterns of quality of life as they relate to the socio-economic and environmental structure of a city. This paper evaluates a quality of life index for Mexico City that takes into account both social and environmental factors through a factor analysis and explores the relationship between the contributing environmental and social factors through a regression analysis. The spatial patterns of quality of life across the city are then examined using a geographic clustering technique. Results indicate that both socio-economic and environmental segregation characterize the physical structure of Mexico City and suggest that the peripheral areas of the city suffer from poor socio-economic conditions even though they have positive environmental conditions.
{"title":"Assessing Quality of Life Across Mexico City Using Socio-Economic and Environmental Factors","authors":"G. Montejo, Amy E. Frazier","doi":"10.4018/ijagr.2020070105","DOIUrl":"https://doi.org/10.4018/ijagr.2020070105","url":null,"abstract":"Urban quality of life studies increasingly incorporate both socio-economic and environmental factors into their analyses, yet few studies have explored how the socio-economic factors relate to the environmental conditions or how to statistically describe the spatial patterns of quality of life as they relate to the socio-economic and environmental structure of a city. This paper evaluates a quality of life index for Mexico City that takes into account both social and environmental factors through a factor analysis and explores the relationship between the contributing environmental and social factors through a regression analysis. The spatial patterns of quality of life across the city are then examined using a geographic clustering technique. Results indicate that both socio-economic and environmental segregation characterize the physical structure of Mexico City and suggest that the peripheral areas of the city suffer from poor socio-economic conditions even though they have positive environmental conditions.","PeriodicalId":43062,"journal":{"name":"International Journal of Applied Geospatial Research","volume":"11 1","pages":"68-86"},"PeriodicalIF":0.5,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45185325","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 : 2020-07-01DOI: 10.4018/ijagr.2020070103
P. Pathak, N. Pagidipati, Shayna M. Clancy, Gatha Sharma, Truls Østbye
In urbanizing India, walkability and outdoor physical activities are essential for a healthy lifestyle. Urban roads need to be assessed for walkability, and public parks need to be assessed as spaces for physical activities. Not many studies have looked at both the aspects together, and use of GIS is not prevalent. This study demonstrates use of GIS to examine various parameters of walkability and parks in the city of Greater Noida, India. GIS was found highly effective for collecting information before performing survey of selected sectors, post-field data visualization, and data integration to understand spatial variability of walkability and usefulness of individual parks. Only one of the sectors was identified as having better walkability as well as good quality of parks for physical activities. Many low-income sectors did not have parks. Walkability parameters had a spatial pattern within each sector, and urban and rural sectors differed in providing walkability.
{"title":"Park Quality and Road Walkability in Greater Noida, India","authors":"P. Pathak, N. Pagidipati, Shayna M. Clancy, Gatha Sharma, Truls Østbye","doi":"10.4018/ijagr.2020070103","DOIUrl":"https://doi.org/10.4018/ijagr.2020070103","url":null,"abstract":"In urbanizing India, walkability and outdoor physical activities are essential for a healthy lifestyle. Urban roads need to be assessed for walkability, and public parks need to be assessed as spaces for physical activities. Not many studies have looked at both the aspects together, and use of GIS is not prevalent. This study demonstrates use of GIS to examine various parameters of walkability and parks in the city of Greater Noida, India. GIS was found highly effective for collecting information before performing survey of selected sectors, post-field data visualization, and data integration to understand spatial variability of walkability and usefulness of individual parks. Only one of the sectors was identified as having better walkability as well as good quality of parks for physical activities. Many low-income sectors did not have parks. Walkability parameters had a spatial pattern within each sector, and urban and rural sectors differed in providing walkability.","PeriodicalId":43062,"journal":{"name":"International Journal of Applied Geospatial Research","volume":"11 1","pages":"24-47"},"PeriodicalIF":0.5,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70447868","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 : 2020-07-01DOI: 10.4018/ijagr.2020070102
Walker J. Skeeter, J. Senkbeil
This study evaluated 500mb and 850mb flow patterns as well as surface pressure and 72-hour precipitation characteristics of large areal scale intense precipitation events in the Southeastern United States from 1950-2016. This was attempted using a combination of statistical methods utilizing PCA and cluster analysis as well as a manual classification scheme based on synoptic-scale storm type and formation location. All large-scale events were able to fit within one of five manual classifications: tropical events, frontal events, and three mid-latitude cyclone types: those that formed over the Southeast/Gulf of Mexico, the southern plains, and the Midwest/northern plains. This research builds upon GIS methods of classifying flow characteristics utilizing reanalysis data and has the potential to aide forecasters in identifying setups conducive to large-scale intense precipitation events.
{"title":"Mid-Tropospheric Flow Characteristics of Intense Precipitation Events in the Southeastern USA","authors":"Walker J. Skeeter, J. Senkbeil","doi":"10.4018/ijagr.2020070102","DOIUrl":"https://doi.org/10.4018/ijagr.2020070102","url":null,"abstract":"This study evaluated 500mb and 850mb flow patterns as well as surface pressure and 72-hour precipitation characteristics of large areal scale intense precipitation events in the Southeastern United States from 1950-2016. This was attempted using a combination of statistical methods utilizing PCA and cluster analysis as well as a manual classification scheme based on synoptic-scale storm type and formation location. All large-scale events were able to fit within one of five manual classifications: tropical events, frontal events, and three mid-latitude cyclone types: those that formed over the Southeast/Gulf of Mexico, the southern plains, and the Midwest/northern plains. This research builds upon GIS methods of classifying flow characteristics utilizing reanalysis data and has the potential to aide forecasters in identifying setups conducive to large-scale intense precipitation events.","PeriodicalId":43062,"journal":{"name":"International Journal of Applied Geospatial Research","volume":"11 1","pages":"10-23"},"PeriodicalIF":0.5,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48708531","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 : 2020-07-01DOI: 10.4018/ijagr.2020070101
D. Albert, S. Adu-Prah
This report is an appraisal of the International Journal of Applied Geospatial Research for its second five years from 2015-2019. It reviews IJAGR statistics during this period and compares these with statistics from the first five years. Questions addressed include: What progress has IJAGR made from year 5 to year 10? Did we reach our goals? Where do we go from here?
{"title":"The Second Five Years","authors":"D. Albert, S. Adu-Prah","doi":"10.4018/ijagr.2020070101","DOIUrl":"https://doi.org/10.4018/ijagr.2020070101","url":null,"abstract":"This report is an appraisal of the International Journal of Applied Geospatial Research for its second five years from 2015-2019. It reviews IJAGR statistics during this period and compares these with statistics from the first five years. Questions addressed include: What progress has IJAGR made from year 5 to year 10? Did we reach our goals? Where do we go from here?","PeriodicalId":43062,"journal":{"name":"International Journal of Applied Geospatial Research","volume":"11 1","pages":"1-9"},"PeriodicalIF":0.5,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48735174","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}
{"title":"Spatial Surveillance of Invasion by Alien Species in a Heterogeneous Ecological Landscape","authors":"Ugyen Thinley, P. Banterng, R. Katawatin, S. Gonkhamdee","doi":"10.4018/ijagr.2020040101","DOIUrl":"https://doi.org/10.4018/ijagr.2020040101","url":null,"abstract":"Thisarticleisanattempttoassesstheinvasionriskfromthemostnoxiousalienplantspeciesusingthe GPSrecordedlocationsandenvironmentalvariables.Theinvasionriskwasmodelledbycombining thethreeecologicalnichemodellingalgorithms-DesktopGARP,OpenmodellerDesktopGARPand Maxentaftervalidatingtheiraccuracies.Theaccuraciesrangedfrommoderatetogoodinallthe algorithms,forallsixspecies.TheresultshowedAgeratinaadenophoraandAgeratumconyzoidesas highlyinvasivespeciesbothintermsofareacoverageandtheecologicaltolerancerangeofthestudy site.Itwasalsoindicativethat,irrespectiveofthespecies,agriculturallandsaremostsusceptibleto invasionamongallothertypesoflandusesinthestudyarea. KEywoRdS AUC, Ecological Niche Modelling, GARP, Invasion Risk, Maxent","PeriodicalId":43062,"journal":{"name":"International Journal of Applied Geospatial Research","volume":"11 1","pages":"1-17"},"PeriodicalIF":0.5,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/ijagr.2020040101","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48227402","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 : 2020-04-01DOI: 10.4018/ijagr.2020040104
J. Carroll
The cultural geography of precontact Springwells phase (ca. AD 1160-1420) Indigenous communities in the Great Lakes region of North America has recently received renewed attention. Variation in Springwells ceramic style repertoires serves as a proxy for reconstructing Native American social networks distributed throughout the Great Lakes region. This geospatial investigation leveraging Brainerd-Robinson coefficient analysis and regression analysis provides a glimpse into how precontact Native communities interacted across a large regional area at multiple spatial scales.
{"title":"The Social Implications of Ceramic Style Distributions in Precontact Springwells Communities","authors":"J. Carroll","doi":"10.4018/ijagr.2020040104","DOIUrl":"https://doi.org/10.4018/ijagr.2020040104","url":null,"abstract":"The cultural geography of precontact Springwells phase (ca. AD 1160-1420) Indigenous communities in the Great Lakes region of North America has recently received renewed attention. Variation in Springwells ceramic style repertoires serves as a proxy for reconstructing Native American social networks distributed throughout the Great Lakes region. This geospatial investigation leveraging Brainerd-Robinson coefficient analysis and regression analysis provides a glimpse into how precontact Native communities interacted across a large regional area at multiple spatial scales.","PeriodicalId":43062,"journal":{"name":"International Journal of Applied Geospatial Research","volume":"11 1","pages":"59-75"},"PeriodicalIF":0.5,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44591317","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 : 2020-01-01DOI: 10.4018/ijagr.2020010102
M. Rashid
In the era of global urbanization, migration phenomena—particularly urban-to-urban migration—is one of the key drivers of urban development. This has led to a higher demand for spatial-social and spatial-economic activities, tremendously spurring the changes in demographic, size, and urban socio-economics. However, many researchers agree that this phenomenon is quite difficult to understand, particularly destination choices, due to complexity in migration behavioral factors. Inspired by this, this article attempts to demonstrate the capability of the ‘MGP model', the so-called ‘migration potential model'—a GIS-based multicriteria decision analysis approach, which incorporates migration decision-selectivity factors—for spatial migration modelling in the Klang Valley, Malaysia. Empirically tested, the MGP model, intended to be an advanced approach in migration analysis, GIS, and MCDA applications that provides urban planners with information about the areas that will be the centers of potential migration, will look at locations and expected levels. Finally, this article concludes with a discussion on the advantages of the MGP model, particularly for urban planning purposes and suggestions for further research.
{"title":"Spatial Modelling of Migration Decision-Selectivity in the Klang Valley Region, Malaysia","authors":"M. Rashid","doi":"10.4018/ijagr.2020010102","DOIUrl":"https://doi.org/10.4018/ijagr.2020010102","url":null,"abstract":"In the era of global urbanization, migration phenomena—particularly urban-to-urban migration—is one of the key drivers of urban development. This has led to a higher demand for spatial-social and spatial-economic activities, tremendously spurring the changes in demographic, size, and urban socio-economics. However, many researchers agree that this phenomenon is quite difficult to understand, particularly destination choices, due to complexity in migration behavioral factors. Inspired by this, this article attempts to demonstrate the capability of the ‘MGP model', the so-called ‘migration potential model'—a GIS-based multicriteria decision analysis approach, which incorporates migration decision-selectivity factors—for spatial migration modelling in the Klang Valley, Malaysia. Empirically tested, the MGP model, intended to be an advanced approach in migration analysis, GIS, and MCDA applications that provides urban planners with information about the areas that will be the centers of potential migration, will look at locations and expected levels. Finally, this article concludes with a discussion on the advantages of the MGP model, particularly for urban planning purposes and suggestions for further research.","PeriodicalId":43062,"journal":{"name":"International Journal of Applied Geospatial Research","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/ijagr.2020010102","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42979465","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 : 2020-01-01DOI: 10.4018/ijagr.2020010104
Dacosta Aboagye, Elvis Attakora-Amaniampong, E. Owusu-Sekyere
The relationship between flood hazards and social vulnerability is firmly on the intellectual agenda of geographers in Ghana. In an attempt to theorize and empirically examine this relationship, scholars have commonly followed a one-sided methodological strand. In this article, a triple-helix approach that relies on the application of social vulnerability index; mapping potential flood hazard zones; and examining degree of coincidence between flood hazards and social vulnerability, is used. Situating the analysis within Hazards-of-Place Model of Vulnerability, the study identifies spatial disparities in biophysical and social vulnerability within the City. It emerged that communities in the Ashiedu Keteke sub-metro were the most vulnerable based on the hazards-of-place model. Significantly, while flood risk awareness was very high among community members, the perception of flood risk management was poor. The study argues that understanding place-based vulnerability is crucial in mitigating the effect of hazards and building resilient communities.
{"title":"Place-Based Assessment of Intersection of Biophysical and Social Vulnerability to Flooding in Accra, Ghana","authors":"Dacosta Aboagye, Elvis Attakora-Amaniampong, E. Owusu-Sekyere","doi":"10.4018/ijagr.2020010104","DOIUrl":"https://doi.org/10.4018/ijagr.2020010104","url":null,"abstract":"The relationship between flood hazards and social vulnerability is firmly on the intellectual agenda of geographers in Ghana. In an attempt to theorize and empirically examine this relationship, scholars have commonly followed a one-sided methodological strand. In this article, a triple-helix approach that relies on the application of social vulnerability index; mapping potential flood hazard zones; and examining degree of coincidence between flood hazards and social vulnerability, is used. Situating the analysis within Hazards-of-Place Model of Vulnerability, the study identifies spatial disparities in biophysical and social vulnerability within the City. It emerged that communities in the Ashiedu Keteke sub-metro were the most vulnerable based on the hazards-of-place model. Significantly, while flood risk awareness was very high among community members, the perception of flood risk management was poor. The study argues that understanding place-based vulnerability is crucial in mitigating the effect of hazards and building resilient communities.","PeriodicalId":43062,"journal":{"name":"International Journal of Applied Geospatial Research","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/ijagr.2020010104","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45901569","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}
{"title":"Spatial and Temporal Dynamics of Social Vulnerability in the United States from 1970 to 2010","authors":"Gainbi Park, Zengwang Xu","doi":"10.4018/ijagr.2020010103","DOIUrl":"https://doi.org/10.4018/ijagr.2020010103","url":null,"abstract":"Socialvulnerabilityhasbeenanimportantconcepttocharacterizetheextenttowhichhumansociety isvulnerabletohazards.Althoughitiswellknownthatsocialvulnerabilityvariesacrossspaceand overtime,thereisonlyapaucityofstudiestoexaminethebasicpatternsofthespatialandtemporal dynamicsofthesocialvulnerabilityintheUnitedStates.Thisstudyexaminesthespatialandtemporal dynamicsofsocialvulnerabilityoftheU.S.countiesfrom1970to2010.Foreachdecade,social vulnerabilityofcountiesisquantifiedbythesocialvulnerabilityindex(SoVI)usingcounty-level social,economic,demographic,andbuiltenvironmentcharacteristics.TheSoVIismainlydesignedto quantifythecross-sectionalvariationofsocialvulnerabilityandisnotconducivetodirectcomparison overtime.Thisstudyimplementsamethodologythatintegratesquantilestandardization,sequence alignmentanalysis,andclusteranalysistoinvestigatehowsocialvulnerabilityofU.S.countieshas changedovertime.TheauthorsfindthatU.S.countiesexhibitdistinctivespatialandlongitudinal patterns,andtherearecounties/areaswhichhavepersistenthighorlowsocialvulnerabilityaswell asfrequentchangeintheirsocialvulnerabilityovertime.Theresultscanbeusefulforpolicymakers, disastermanagers,planningofficials,andsocialscientistsingeneral. KeywoRDS Clustering, Natural Hazards, Sequence Analysis, Social Vulnerability, Spatial Temporal Dynamics","PeriodicalId":43062,"journal":{"name":"International Journal of Applied Geospatial Research","volume":"11 1","pages":"36-54"},"PeriodicalIF":0.5,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/ijagr.2020010103","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70447724","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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