{"title":"Mapping the Spatial Distribution Patterns of Personal Time Spent Based on Trip Purpose","authors":"K. Lwin, Y. Sekimoto","doi":"10.4018/IJAGR.2018040101","DOIUrl":"https://doi.org/10.4018/IJAGR.2018040101","url":null,"abstract":"Understandingthespatialdistributionpatternsofthetimespentbypeoplebasedontheirtrippurpose andothersocialcharacteristicsisimportantforsustainableurbantransportplanning,publicfacility management,socio-economicdevelopment,andothertypesofpolicyplanning.Althoughpersonal tripsurveydataincludestravelbehaviorandothersocialcharacteristics,manyarelackingindetail regardingthespatialdistributionpatternsofindividualmovementsbasedontimespent,typically duetoprivacyissuesanddifficultiesinconvertingnon-spatialsurveydataintoaspatialformat.In thisarticle,geospatially-enabledpersonaltripdata(GeospatialBigData),convertedfromtraditional paper-basedsurveydata,aresubjectedtoaspatialdataminingprocessinordertoexaminethedetailed spatialdistributionpatternsoftimespentbythepublicbasedonvarioustrippurposesandothersocial characteristics,usingtheTokyometropolitanareaasacasestudy. KeywoRDS Geospatial Big Data, Geospatially-Enabled Personal Trip Data, Spatial Distribution Patterns, Time Spent, Trip Purposes","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133924954","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":"Creating a Dynamic Regional Model of the U.S. Corn Belt","authors":"Chris Laingen","doi":"10.4018/IJAGR.2017100102","DOIUrl":"https://doi.org/10.4018/IJAGR.2017100102","url":null,"abstract":"","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122613534","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":"Lightning and Storm Type in Central Alabama","authors":"M. Willis, J. Senkbeil","doi":"10.4018/IJAGR.2017100103","DOIUrl":"https://doi.org/10.4018/IJAGR.2017100103","url":null,"abstract":"","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123402979","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":"Sensitivity of Modeled Channel Hydraulic Variables to Invasive and Native Riparian Vegetation","authors":"Adriana E. Martinez","doi":"10.4018/IJAGR.2017100104","DOIUrl":"https://doi.org/10.4018/IJAGR.2017100104","url":null,"abstract":"","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123735885","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":"Species Distribution Modeling of American Beech (Fagus Grandifolia) Distribution in Southwest Ohio","authors":"Brandon Flessner, M. C. Henry, Jerry Green","doi":"10.4018/IJAGR.2017070102","DOIUrl":"https://doi.org/10.4018/IJAGR.2017070102","url":null,"abstract":"The ability to predict American beech distribution (Fagus grandifolia Ehrh.) from environmental data was tested by using a geographic information system (GIS) in tandem with species distribution models (SDMs). The study was conducted in Butler and Preble counties in Ohio, USA. Topography, soils, and disturbance were approximated through 15 predictor variables with presence/absence and basal area serving as the response variables. Using a generalized linear model (GLM) and a boosted regression tree (BRT) model, curvature, elevation, and tasseled cap greenness were shown to be significant predictors of beech presence. Each of these variables was positively related to beech presence. A linear model using presence only data was not effective in predicting basal area due to a small sample size. This study demonstrates that SDMs can be used successfully to advance one's understanding of the relationship between tree species presence and environmental factors. Large sample sizes are needed to successfully model continuous variables.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126067742","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":"Academic Performance of Texas Public Schools and Its Relationship with Students' Physical Fitness and Socioeconomic Status","authors":"He Jin, Yongmei Lu","doi":"10.4018/ijagr.2017070103","DOIUrl":"https://doi.org/10.4018/ijagr.2017070103","url":null,"abstract":"This study investigated the relationship between public schools' academic performance in Texas and their students' physical fitness and socioeconomic status SES at school-district level. Spearman rank correlations showed that the correlation between body mass index fitness BMI HFZ and academic performance was stronger than cardiovascular fitness CV HFZ. SES was strongly associated with academic performance. Three-way ANOVA analyses revealed significant main effects of gender, SES, and BMI HFZ on Reading tests passing rate while only SES was significant for Math tests passing rate. Higher BMI fitness was associated with higher level of academic performance for school girls than boys except for those in low SES level. Geographically Weighted Regression GWR analyses identified important and spatially varied relationships between physical fitness variables, SES, and academic performance across Texas, suggesting the need for regional and locally-targeted policies to address place-specific critical factors for improving schools' academic performance.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130492162","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}