Spatial Demography最新文献_第10页

Evolution of Life Expectancy at Birth in French Départements Over the Period 1833–1982 1833-1982 年期间法国各省出生时预期寿命的演变

IF 1.9

Spatial Demography Pub Date : 2017-06-26 DOI: 10.1007/s40980-017-0035-y

Jesús J. Sánchez-Barricarte, Patricia Carracedo, Adina Iftimi, Ana Debón, Francisco Montes

{"title":"Evolution of Life Expectancy at Birth in French Départements Over the Period 1833–1982","authors":"Jesús J. Sánchez-Barricarte, Patricia Carracedo, Adina Iftimi, Ana Debón, Francisco Montes","doi":"10.1007/s40980-017-0035-y","DOIUrl":"https://doi.org/10.1007/s40980-017-0035-y","url":null,"abstract":"This paper deals with spatial aspects of trends in life expectancy at birth in the French metropolitan départements over the nineteenth and twentieth centuries. Data from the censuses conducted from 1833 to 1982 were used to calculate the life expectancy at birth for both sexes togheter, $$e_0$$e0. The overall fertility index ($$I_f$$If), marital fertility index ($$I_g$$Ig) and nuptiality index ($$I_m$$Im) were also calculated for each 5-year period within the same time span. The analysis has two facets: a first, descriptive part in which we establish clusters of départements with similar or different patterns of evolution over the period above mentioned; and a second part in which the effect of covariables in changes in $$e_0$$e0 are examined. In addition their coefficients were interpreted including the direct and spatial spillover effects. Unlike earlier studies, in which a spatio-temporal analysis was performed, the time function showing changes in $$e_0$$e0 is reduced to a single value which measures the distance or affinity between the functions of time in each département, which enables us to carry out an exploratory spatial data analysis and apply spatial econometric models.","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"17 1","pages":"89-120"},"PeriodicalIF":1.9,"publicationDate":"2017-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140884657","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

Diversity or Segregation? A Multi-decadal Spatial Analysis of Demographics of Atlanta Neighborhoods 多样性还是隔离？亚特兰大街区人口统计的十年空间分析

IF 1.9

Spatial Demography Pub Date : 2017-06-13 DOI: 10.1007/s40980-017-0034-z

Shrinidhi Ambinakudige, Domenico Parisi, Giorgio Carlo Cappello, Aynaz Lotfata

{"title":"Diversity or Segregation? A Multi-decadal Spatial Analysis of Demographics of Atlanta Neighborhoods","authors":"Shrinidhi Ambinakudige, Domenico Parisi, Giorgio Carlo Cappello, Aynaz Lotfata","doi":"10.1007/s40980-017-0034-z","DOIUrl":"https://doi.org/10.1007/s40980-017-0034-z","url":null,"abstract":"The City of Atlanta has seen phenomenal urban expansion, racial re-composition, and migration patterns over decades. In this paper, we try to answer overarching question: Has the economic development and urban sprawl in Atlanta been accompanied by racially diverse neighborhoods? Or has the economic development in Atlanta led to a racially integrated landscape? We use demographic data from the U.S. Census Bureau, the Internal Revenue Service, and the Panel Study for Income Dynamics. First, we use hotspot analysis to study temporal changes in spatial patterns of concentration of the black population in Atlanta. Second, using the index of dissimilarity (D) and interaction index (I), we estimate the extent of segregation between whites and blacks. Third, we calculate the migration effectiveness in three sub-regions of Atlanta. The results show that hotspots of the black population are located in the central and south-central parts of Atlanta, and have expanded predominantly in the eastern and southern directions during the last four decades. Racial diversity has increased generally in the counties immediately north of the city proper, but the southern and peripheral counties had less racial diversity. Remarkably, southern Atlanta did not witness the economic development in the same way as northern Atlanta. The migration effectiveness index shows that, in recent years, Atlanta suburbs attracted more migrants, both from within the Atlanta region and from the rest of the United States, as compared to the Atlanta city proper. In recent decades, neighborhoods in the Suburb-I becoming racially more diverse, and one would expect this trend will extend in other regions too in the future.","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"53 1","pages":"123-144"},"PeriodicalIF":1.9,"publicationDate":"2017-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140884660","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

Tools for Interactive Visualization of Global Demographic Concepts in R 全球人口统计概念的交互式可视化工具

IF 1.9

Spatial Demography Pub Date : 2016-08-02 DOI: 10.1007/s40980-016-0029-1

K. Walker