Spatial Demography最新文献_第8页

Next Steps for Spatial Demography 空间人口学的下一步

IF 1.9

Spatial Demography Pub Date : 2019-10-01 DOI: 10.1007/s40980-019-00055-1

S. Matthews

引用次数: 0

Demographic Ageing in the Mediterranean: The End of the Spatial Dichotomy Between the Shores? 地中海人口老龄化:海岸间空间二分法的终结?

IF 1.9

Spatial Demography Pub Date : 2019-09-24 DOI: 10.1007/s40980-019-00054-2

Yoann Doignon

引用次数: 6

Racial-Ethnic Diversity and the Decline of Predominantly-White Mainline and Evangelical Protestant Denominations: A Spatial Fixed-Effects Approach 种族-民族多样性与以白人为主的主流教派和福音派新教教派的衰落:一个空间固定效应的视角

IF 1.9

Spatial Demography Pub Date : 2019-09-04 DOI: 10.1007/s40980-019-00053-3

Rachel J. Bacon

引用次数: 1

The Advantages of Comparative LISA Techniques in Spatial Inequality Research: Evidence from Poverty Change in the United States 比较 LISA 技术在空间不平等研究中的优势：美国贫困变化的证据

IF 1.9

Spatial Demography Pub Date : 2019-07-18 DOI: 10.1007/s40980-019-00052-4

Matthew M. Brooks

{"title":"The Advantages of Comparative LISA Techniques in Spatial Inequality Research: Evidence from Poverty Change in the United States","authors":"Matthew M. Brooks","doi":"10.1007/s40980-019-00052-4","DOIUrl":"https://doi.org/10.1007/s40980-019-00052-4","url":null,"abstract":"Although scholarship regarding spatial inequality has grown in recent years, past research has seen limited use of spatial statistics—let alone comparison between spatial statistical techniques. Comparing and contrasting the application and use of spatial statistics is valuable in research because it allows for more precise identification of spatial patterns, and highlights results that may be hidden when only using a single method. This study serves as a demonstration on how the use of multiple LISA statistics can benefit inequality related research. Analyzing changes in county level poverty in the rural United States from 1990 to 2015 serves as a tool to demonstrate these techniques and this study examined how the geographic distribution of poverty has changed, and well as if there is evidence of diffusion effects. The three featured techniques utilized Local Indicators of Spatial Association (LISA) statistics. The techniques are Bivariate LISA, LISA Cluster Transitions, and LISA Diffusion Transitions, with the last technique specifically designed for this study. Each technique varies in how it reports the changes in the spatial structure of poverty. Bivariate LISA and LISA Cluster Transitions are complementary to each other—with the former technique providing a single global statistic while the latter is more easily interpretable. Diffusion Transitions show how the highest and lowest values of a variable may be spreading over time. The study also produces new findings regarding rural poverty, with poverty in Mountain-West and rural Sun Belt counties on the rise. Analysis shows a diffusion effect for poverty in Southeastern metropolitan fringe counties.","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"37 3 1","pages":"167-193"},"PeriodicalIF":1.9,"publicationDate":"2019-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140884780","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

Small Area Estimation of Fertility: Comparing the 4-Parameters Own-Children Method and the Poisson Regression-Based Person-Period Approach 小地区生育率估算：比较四参数自有子女法和基于泊松回归的人-期法

IF 1.9

Spatial Demography Pub Date : 2019-05-08 DOI: 10.1007/s40980-019-00051-5

Pedzisai Ndagurwa, Clifford Odimegwu

引用次数: 0

From Census Tracts to Local Environments: An Egocentric Approach to Neighborhood Racial Change. 从人口普查区到当地环境:以自我为中心的方法来研究邻里种族变化。

IF 1.9

Spatial Demography Pub Date : 2019-04-01 Epub Date: 2018-06-18 DOI: 10.1007/s40980-018-0044-5

Barrett A Lee, Chad R Farrell, Sean F Reardon, Stephen A Matthews

{"title":"From Census Tracts to Local Environments: An Egocentric Approach to Neighborhood Racial Change.","authors":"Barrett A Lee, Chad R Farrell, Sean F Reardon, Stephen A Matthews","doi":"10.1007/s40980-018-0044-5","DOIUrl":"https://doi.org/10.1007/s40980-018-0044-5","url":null,"abstract":"<p><p>Most quantitative studies of neighborhood racial change rely on census tracts as the unit of analysis. However, tracts are insensitive to variation in the geographic scale of the phenomenon under investigation and to proximity among a focal tract's residents and those in nearby territory. Tracts may also align poorly with residents' perceptions of their own neighborhood and with the spatial reach of their daily activities. To address these limitations, we propose that changes in racial structure (i.e., in overall diversity and group-specific proportions) be examined within multiple egocentric neighborhoods, a series of nested local environments surrounding each individual that approximate meaningful domains of experience. Our egocentric approach applies GIS procedures to census block data, using race-specific population densities to redistribute block counts of whites, blacks, Hispanics, and Asians across 50-meter by 50-meter cells. For each cell, we then compute the proximity-adjusted racial composition of four different-sized local environments based on the weighted average racial group counts in adjacent cells. The value of this approach is illustrated with 1990-2000 data from a previous study of 40 large metropolitan areas. We document exposure to increasing neighborhood racial diversity during the decade, although the magnitude of this increase in diversity-and of shifts in the particular races to which one is exposed-differs by local environment size and racial group membership. Changes in diversity exposure at the neighborhood level also depend on how diverse the metro area as a whole has become.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"7 1","pages":"1-26"},"PeriodicalIF":1.9,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-018-0044-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37352635","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: 12

Thomas, Richard K.: Concepts, Methods and Practical Applications in Applied Demography: An Introductory Text 理查德·K·托马斯:《应用人口学的概念、方法和实际应用:导论》

IF 1.9

Spatial Demography Pub Date : 2019-04-01 DOI: 10.1007/S40980-019-00047-1

David W. S. Wong

引用次数: 0

David Darmofal and Ryan Strickler: Demography, Politics and Partisan Polarization in the United States, 1828–2016 David Darmofal 和 Ryan Strickler：美国的人口、政治和党派两极分化，1828-2016 年

IF 1.9

Spatial Demography Pub Date : 2019-03-22 DOI: 10.1007/s40980-019-00049-z

Ron Johnston

引用次数: 0

Spatial Regression Analysis of Poverty in R R地区贫困的空间回归分析