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Spatial Regression Analysis of Poverty in R R地区贫困的空间回归分析
IF 1.9
Spatial Demography Pub Date : 2019-03-04 DOI: 10.1007/s40980-019-00048-0
Maria E. Kamenetsky, G. Chi, Donghui Wang, Jun Zhu
{"title":"Spatial Regression Analysis of Poverty in R","authors":"Maria E. Kamenetsky, G. Chi, Donghui Wang, Jun Zhu","doi":"10.1007/s40980-019-00048-0","DOIUrl":"https://doi.org/10.1007/s40980-019-00048-0","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-019-00048-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47969465","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}
引用次数: 5
A Spatial Analysis of Homicides in Saint Louis: The Importance of Scale 圣路易斯凶杀案的空间分析:尺度的重要性
IF 1.9
Spatial Demography Pub Date : 2018-11-27 DOI: 10.1007/s40980-018-00046-8
Tara A. Smith, J. Sandoval
{"title":"A Spatial Analysis of Homicides in Saint Louis: The Importance of Scale","authors":"Tara A. Smith, J. Sandoval","doi":"10.1007/s40980-018-00046-8","DOIUrl":"https://doi.org/10.1007/s40980-018-00046-8","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2018-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-018-00046-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53017372","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}
引用次数: 6
Population Ageing in Italy: An Empirical Analysis of Change in the Ageing Index Across Space and Time 意大利的人口老龄化：老龄化指数跨时空变化的实证分析
IF 1.9
Spatial Demography Pub Date : 2018-03-21 DOI: 10.1007/s40980-018-0043-6
Cecilia Reynaud, Sara Miccoli, Francesco Lagona
{"title":"Population Ageing in Italy: An Empirical Analysis of Change in the Ageing Index Across Space and Time","authors":"Cecilia Reynaud, Sara Miccoli, Francesco Lagona","doi":"10.1007/s40980-018-0043-6","DOIUrl":"https://doi.org/10.1007/s40980-018-0043-6","url":null,"abstract":"Population ageing is one of the most important demographic phenomena of this century. Driven by fertility decline and the continuing extension of the life expectancy, the process of population ageing has not been uniform across time and space. Italy has one of the oldest populations in the world. The combination of a very old population and large territorial differences has made Italy an interesting laboratory for studying population ageing. The purpose of this paper is to study how population ageing developed between 2002 and 2014 across different geographical areas within Italy. We analyse patterns of population ageing across the five major socio-economic regions using the 110 provinces of Italy as our spatial units of analysis. We use a statistical model that integrates patterns of variation of population ageing data by accounting for autocorrelation in space and time. The results indicate that the provincial age structures tend to converge and demonstrate the importance of considering the role of space in studies of population ageing.","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140884662","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}
引用次数: 0
A Reproducible Framework for Visualizing Demographic Distance Profiles in US Metropolitan Areas 美国大都市区人口距离剖面可视化再现框架
IF 1.9
Spatial Demography Pub Date : 2018-03-07 DOI: 10.1007/s40980-018-0042-7
Kyle E. Walker
{"title":"A Reproducible Framework for Visualizing Demographic Distance Profiles in US Metropolitan Areas","authors":"Kyle E. Walker","doi":"10.1007/s40980-018-0042-7","DOIUrl":"https://doi.org/10.1007/s40980-018-0042-7","url":null,"abstract":"Distance profiles have long been used in urban demography to explore how demographic characteristics of metropolitan areas vary by distance from their urban cores. Distance profile visualizations graphically illustrate these relationships and are useful in exploratory demographic data analysis of urban areas. The purpose of this article is to demonstrate how to build distance profile visualizations reproducibly within R, a free and open-source programming language and data analysis environment. The approach to distance profile visualization in this article involves the graphical display of a smoothed relationship between the location quotient of a demographic group for a metropolitan Census tract and the distance between the tract centroid and its respective urban core. Data acquisition, analysis, and visualization are all handled in R. The tidycensus, sf, and ggplot2 R packages are featured in this framework. Distance profile visualizations for educational attainment are used as illustrative examples, and reveal how the geography of metropolitan educational attainment varies both over time and across different types of metropolitan areas.","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2018-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140884661","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}
引用次数: 0
Ethno-Racial and Nativity Group Differences in U.S. Intercounty Migration and Move Distances 美国县际移民和迁移距离的民族-种族和出生群体差异
IF 1.9
Spatial Demography Pub Date : 2018-01-29 DOI: 10.1007/s40980-018-0041-8
M. Kritz, D. Gurak
{"title":"Ethno-Racial and Nativity Group Differences in U.S. Intercounty Migration and Move Distances","authors":"M. Kritz, D. Gurak","doi":"10.1007/s40980-018-0041-8","DOIUrl":"https://doi.org/10.1007/s40980-018-0041-8","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2018-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-018-0041-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53018009","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}
引用次数: 3
Connecting the Dots: The Spatial Processes Underlying Place-Level Diversity Change in U.S. Metros Between 1990 and 2010 连接点:1990年至2010年间美国地铁地区多样性变化的空间过程
IF 1.9
Spatial Demography Pub Date : 2018-01-19 DOI: 10.1007/s40980-017-0038-8
Michael J. R. Martin, Christopher S. Fowler
{"title":"Connecting the Dots: The Spatial Processes Underlying Place-Level Diversity Change in U.S. Metros Between 1990 and 2010","authors":"Michael J. R. Martin, Christopher S. Fowler","doi":"10.1007/s40980-017-0038-8","DOIUrl":"https://doi.org/10.1007/s40980-017-0038-8","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2018-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-017-0038-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53017558","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}
引用次数: 2
Bangladeshi and Inter-state Migrants: Differential Adaptation and Acceptance by the Locals in West Bengal, India 孟加拉和州际移民:印度西孟加拉邦当地人的差异适应和接受
IF 1.9
Spatial Demography Pub Date : 2017-11-29 DOI: 10.1007/s40980-017-0040-1
Bhaswati Das, Rabiul Ansary
{"title":"Bangladeshi and Inter-state Migrants: Differential Adaptation and Acceptance by the Locals in West Bengal, India","authors":"Bhaswati Das, Rabiul Ansary","doi":"10.1007/s40980-017-0040-1","DOIUrl":"https://doi.org/10.1007/s40980-017-0040-1","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2017-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-017-0040-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53017230","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}
引用次数: 2
Modelling Variation in Fertility Rates Using Geographically Weighted Regression 利用地理加权回归对生育率变化进行建模
IF 1.9
Spatial Demography Pub Date : 2017-10-28 DOI: 10.1007/s40980-017-0037-9
Ann Evans, Edith Gray
{"title":"Modelling Variation in Fertility Rates Using Geographically Weighted Regression","authors":"Ann Evans, Edith Gray","doi":"10.1007/s40980-017-0037-9","DOIUrl":"https://doi.org/10.1007/s40980-017-0037-9","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2017-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-017-0037-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53017454","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}
引用次数: 14
Importance of the Geocoding Level for Historical Demographic Analyses: A Case Study of Rural Parishes in Sweden, 1850–1914 地理编码水平对历史人口分析的重要性：1850-1914 年瑞典农村教区案例研究
IF 1.9
Spatial Demography Pub Date : 2017-10-22 DOI: 10.1007/s40980-017-0039-7
Finn Hedefalk, Karolina Pantazatou, Luciana Quaranta, Lars Harrie
{"title":"Importance of the Geocoding Level for Historical Demographic Analyses: A Case Study of Rural Parishes in Sweden, 1850–1914","authors":"Finn Hedefalk, Karolina Pantazatou, Luciana Quaranta, Lars Harrie","doi":"10.1007/s40980-017-0039-7","DOIUrl":"https://doi.org/10.1007/s40980-017-0039-7","url":null,"abstract":"Geocoding longitudinal and individual-level historical demographic databases enables novel analyses of how micro-level geographic factors affected demographic outcomes over long periods. However, such detailed geocoding involves high costs. Additionally, the high spatial resolution cannot be properly utilized if inappropriate methods are used to quantify the geographic factors. We assess how different geocoding levels and methods used to define geographic variables affects the outcome of detailed spatial and historical demographic analyses. Using a longitudinal and individual-level demographic database geocoded at the property unit level, we analyse the effects of population density and proximity to wetlands on all-cause mortality for individuals who lived in five Swedish parishes, 1850–1914. We compare the results from analyses on three detailed geocoding levels using two common quantification methods for each geographic variable. Together with the method selected for quantifying the geographic factors, even small differences in positional accuracy (20–50 m) between the property units and slightly coarser geographic levels heavily affected the results of the demographic analyses. The results also show the importance of accounting for geographic changes over time. Finally, proximity to wetlands and population density affected the mortality of women and children, respectively. However, all possible determinants of mortality were not evaluated in the analyses. In conclusion, for rural historical areas, geocoding to property units is likely necessary for fine-scale analyses at distances within a few hundred metres. We must also carefully consider the quantification methods that are the most logical for the geographic context and the type of analyses.","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2017-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140884804","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}
引用次数: 0
The Spatial Diffusion of Racial and Ethnic Diversity Across U.S. Counties. 美国各县种族和民族多样性的空间扩散》（The Spatial Diffusion of Racial and Ethnic Diversity Across U.S. Counties）。
IF 1.9
Spatial Demography Pub Date : 2017-10-01 Epub Date: 2016-12-19 DOI: 10.1007/s40980-016-0030-8
Michael J R Martin, Stephen A Matthews, Barrett A Lee
{"title":"The Spatial Diffusion of Racial and Ethnic Diversity Across U.S. Counties.","authors":"Michael J R Martin, Stephen A Matthews, Barrett A Lee","doi":"10.1007/s40980-016-0030-8","DOIUrl":"10.1007/s40980-016-0030-8","url":null,"abstract":"<p><p>Although increasing racial and ethnic diversity is a demographic trend with society-wide implications, it has advanced farther in some parts of the United States than others. Our research seeks to understand this unevenness at the local level. Drawing on 1980-2010 census data, we use an innovative spatial analytic approach to examine the spread or diffusion of diversity across counties in the 48 contiguous states. Three perspectives-locational persistence, spatial assimilation, and institutional hub-offer different expectations about the nature of the diffusion process. The perspectives are evaluated by mapping changes in the magnitude and structure of diversity and by tracing county transitions between types of diversity clusters. We document considerable stability in diversity patterns over a 30-year period, consistent with the logic of locational persistence. But support is also found for the spatial assimilation and institutional hub models in the form of cluster-type transitions that reflect contagious diffusion and hierarchical diffusion, respectively.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5847321/pdf/nihms947652.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35921076","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}
引用次数: 0
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