Pub Date : 2016-08-02DOI: 10.1007/s40980-016-0029-1
K. Walker
{"title":"Tools for Interactive Visualization of Global Demographic Concepts in R","authors":"K. Walker","doi":"10.1007/s40980-016-0029-1","DOIUrl":"https://doi.org/10.1007/s40980-016-0029-1","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"4 1","pages":"207 - 220"},"PeriodicalIF":1.9,"publicationDate":"2016-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-016-0029-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53017388","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 : 2016-07-21DOI: 10.1007/s40980-016-0028-2
H. Rabiei-Dastjerdi, S. Matthews, A. Ardalan
{"title":"Measuring Spatial Accessibility to Urban Facilities and Services in Tehran","authors":"H. Rabiei-Dastjerdi, S. Matthews, A. Ardalan","doi":"10.1007/s40980-016-0028-2","DOIUrl":"https://doi.org/10.1007/s40980-016-0028-2","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"6 1","pages":"17 - 34"},"PeriodicalIF":1.9,"publicationDate":"2016-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-016-0028-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42667921","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 : 2016-07-04DOI: 10.1007/s40980-016-0025-5
P. Roy, Jahida Gulshan, S. S. Hossain
{"title":"Spatially Revised Estimation of Infant Mortality in Bangladesh","authors":"P. Roy, Jahida Gulshan, S. S. Hossain","doi":"10.1007/s40980-016-0025-5","DOIUrl":"https://doi.org/10.1007/s40980-016-0025-5","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"5 1","pages":"25 - 42"},"PeriodicalIF":1.9,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-016-0025-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46358933","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 : 2016-07-01Epub Date: 2015-06-23DOI: 10.1007/s40980-015-0013-1
Carolina Perez-Heydrich, Joshua L Warren, Clara R Burgert, Michael E Emch
With this paper we explore the sensitivity of study results to spatial displacements associated with Demographic and Health Survey (DHS) data in research that integrates ancillary raster data. Through simulation studies, we found that the impact of DHS point displacements on raster-based analyses can be moderated through the generation of covariates representing average values from neighborhood buffers. Additionally, raster surface characteristics (i.e., spatial smoothness) were found to affect the extent of bias introduced through point displacements. Although simple point extraction produced unbiased estimates in analyses involving smooth continuous surfaces, it is not recommended in analyses that involve categorical raster surfaces.
{"title":"Influence of Demographic and Health Survey Point Displacements on Raster-Based Analyses.","authors":"Carolina Perez-Heydrich, Joshua L Warren, Clara R Burgert, Michael E Emch","doi":"10.1007/s40980-015-0013-1","DOIUrl":"https://doi.org/10.1007/s40980-015-0013-1","url":null,"abstract":"<p><p>With this paper we explore the sensitivity of study results to spatial displacements associated with Demographic and Health Survey (DHS) data in research that integrates ancillary raster data. Through simulation studies, we found that the impact of DHS point displacements on raster-based analyses can be moderated through the generation of covariates representing average values from neighborhood buffers. Additionally, raster surface characteristics (i.e., spatial smoothness) were found to affect the extent of bias introduced through point displacements. Although simple point extraction produced unbiased estimates in analyses involving smooth continuous surfaces, it is not recommended in analyses that involve categorical raster surfaces.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"4 2","pages":"135-153"},"PeriodicalIF":1.9,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-015-0013-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36210529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-07-01DOI: 10.1007/s40980-016-0027-3
E. Gayawan, O. T. Omolofe
{"title":"Analyzing Spatial Distribution of Antenatal Care Utilization in West Africa Using a Geo-additive Zero-Inflated Count Model","authors":"E. Gayawan, O. T. Omolofe","doi":"10.1007/s40980-016-0027-3","DOIUrl":"https://doi.org/10.1007/s40980-016-0027-3","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"4 1","pages":"245 - 262"},"PeriodicalIF":1.9,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-016-0027-3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53016939","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 : 2016-07-01Epub Date: 2015-06-20DOI: 10.1007/s40980-015-0015-z
Joshua L Warren, Carolina Perez-Heydrich, Clara R Burgert, Michael E Emch
We use Demographic and Health Survey (DHS) data to evaluate the impact of random spatial displacements on analyses that involve assigning covariate values from ancillary areal and point feature data. We introduce a method to determine the maximum probability covariate (MPC), and compare this to the naive covariate (NC) selection method with respect to obtaining the true covariate of interest. The MPC selection method outperforms the NC selection method by increasing the probability that the correct covariate is chosen. Proposed guidelines also address how characteristics of ancillary areal and point features contribute to uncertainty in covariate assignment.
{"title":"Influence of Demographic and Health Survey Point Displacements on Point-in-Polygon Analyses.","authors":"Joshua L Warren, Carolina Perez-Heydrich, Clara R Burgert, Michael E Emch","doi":"10.1007/s40980-015-0015-z","DOIUrl":"https://doi.org/10.1007/s40980-015-0015-z","url":null,"abstract":"<p><p>We use Demographic and Health Survey (DHS) data to evaluate the impact of random spatial displacements on analyses that involve assigning covariate values from ancillary areal and point feature data. We introduce a method to determine the maximum probability covariate (MPC), and compare this to the naive covariate (NC) selection method with respect to obtaining the true covariate of interest. The MPC selection method outperforms the NC selection method by increasing the probability that the correct covariate is chosen. Proposed guidelines also address how characteristics of ancillary areal and point features contribute to uncertainty in covariate assignment.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"4 2","pages":"117-133"},"PeriodicalIF":1.9,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-015-0015-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34700597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-07-01Epub Date: 2015-06-23DOI: 10.1007/s40980-015-0014-0
Joshua L Warren, Carolina Perez-Heydrich, Clara R Burgert, Michael E Emch
We evaluate the impacts of random spatial displacements on analyses that involve distance measures from displaced Demographic and Health Survey (DHS) clusters to nearest ancillary point or line features, such as health resources or roads. We use simulation and case studies to address the effects of this introduced error, and propose use of regression calibration (RC) to reduce its impact. Results suggest that RC outperforms analyses involving naive distance-based covariate assignments by reducing the bias and MSE of the main estimator in most settings. Proposed guidelines also address the effect of the spatial density of destination features on observed bias.
{"title":"Influence of Demographic and Health Survey Point Displacements on Distance-Based Analyses.","authors":"Joshua L Warren, Carolina Perez-Heydrich, Clara R Burgert, Michael E Emch","doi":"10.1007/s40980-015-0014-0","DOIUrl":"https://doi.org/10.1007/s40980-015-0014-0","url":null,"abstract":"<p><p>We evaluate the impacts of random spatial displacements on analyses that involve distance measures from displaced Demographic and Health Survey (DHS) clusters to nearest ancillary point or line features, such as health resources or roads. We use simulation and case studies to address the effects of this introduced error, and propose use of regression calibration (RC) to reduce its impact. Results suggest that RC outperforms analyses involving naive distance-based covariate assignments by reducing the bias and MSE of the main estimator in most settings. Proposed guidelines also address the effect of the spatial density of destination features on observed bias.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"4 2","pages":"155-173"},"PeriodicalIF":1.9,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-015-0014-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34700598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-18DOI: 10.1007/s40980-016-0024-6
Stephen E. S. Crook, Li An, J. Weeks, D. Stow
{"title":"Latent Trajectory Modeling of Spatiotemporal Relationships Between Land Cover and Land Use, Socioeconomics, and Obesity in Ghana","authors":"Stephen E. S. Crook, Li An, J. Weeks, D. Stow","doi":"10.1007/s40980-016-0024-6","DOIUrl":"https://doi.org/10.1007/s40980-016-0024-6","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"4 1","pages":"221 - 244"},"PeriodicalIF":1.9,"publicationDate":"2016-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-016-0024-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53016847","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 : 2016-05-18DOI: 10.1007/s40980-016-0023-7
F. Benassi, A. Naccarato
{"title":"Foreign Citizens Working in Italy: Does Space Matter?","authors":"F. Benassi, A. Naccarato","doi":"10.1007/s40980-016-0023-7","DOIUrl":"https://doi.org/10.1007/s40980-016-0023-7","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"6 1","pages":"1 - 16"},"PeriodicalIF":1.9,"publicationDate":"2016-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-016-0023-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44506214","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 : 2016-05-11DOI: 10.1007/s40980-016-0022-8
L. Kazembe, N. Nickanor
{"title":"Spatial Modelling of the Relationship Between Socio-Economic Disadvantage and Child Health in Namibia","authors":"L. Kazembe, N. Nickanor","doi":"10.1007/s40980-016-0022-8","DOIUrl":"https://doi.org/10.1007/s40980-016-0022-8","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"5 1","pages":"1 - 24"},"PeriodicalIF":1.9,"publicationDate":"2016-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-016-0022-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41892540","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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