scholarly journals Estimating Internal Migration in Contemporary Mexico and its Relevance in Gridded Population Distributions

Data ◽  
2019 ◽  
Vol 4 (2) ◽  
pp. 50 ◽  
Author(s):  
Bryan Jones ◽  
Fernando Riosmena ◽  
Daniel H. Simon ◽  
Deborah Balk

Given downward trends in fertility and mortality, population dynamics –and thus theestimation of spatially-explicit population dynamics and gridded population and derivativeproducts– are increasingly sensitive to mobility processes and their changes in spatiality. In thispaper, we present a procedure to produce origin-destination intermunicipal/intercounty andinterstate migration matrices, briefly discussing their use and application in gridded populationproducts. To illustrate our approach, we produce total and sex-specific matrices with informationfrom the 2000 and 2010 Mexican Census long-form 10% surveys. We share the code required toreproduce the extraction of these and for potentially at least another 122 country-periods based onharmonized publicly-available data from IPUMS International, which allow for the addition ofancillary social and economic data and individual and household levels, or IPUMS Terra, whichfurther allow for GIS-based mapping, visualization, and manipulation and for the merging ofimportant contextual, e.g., environmental, data. Besides discussing the likely limitations of thesemeasures, using official projections from the Mexican government, we illustrate howmigration/mobility data improve the estimation of spatial/gridded population dynamics. We wrapup with a call for the collection of more adequate, spatially-explicit data on residential mobility andmigration globally.

2019 ◽  
Vol 5 ◽  
pp. 237802311985488
Author(s):  
Domenico Parisi ◽  
Daniel T. Lichter ◽  
Michael C. Taquino

This article provides estimates of white residential mobility within and between specific suburban places differentiated by ethnoracial diversity. The authors draw on intrametropolitan mobility data from the Panel Study of Income Dynamics, linked to social and economic data measured at the metropolitan, place, and block levels. First, analyses show that the exodus of whites is significantly lower in predominantly white suburbs than in places with racially diverse populations. Most suburban whites have mostly white neighbors, a pattern reinforced by white residential mobility. Second, suburban whites who move tend to choose predominantly white communities with mostly white neighbors. Third, patterns of white intrametropolitan suburban mobility and minority avoidance are highly segmented. Affluent whites are seemingly better positioned to leave diversifying places for mostly white communities with white neighbors. White residential mobility, from more diverse to less diverse suburban places, builds on most previous studies emphasizing neighborhood-to-neighborhood mobility in metropolitan areas.


2018 ◽  
Vol 115 (4) ◽  
pp. 750-755 ◽  
Author(s):  
Jan M. Nordbotten ◽  
Simon A. Levin ◽  
Eörs Szathmáry ◽  
Nils C. Stenseth

In this contribution, we develop a theoretical framework for linking microprocesses (i.e., population dynamics and evolution through natural selection) with macrophenomena (such as interconnectedness and modularity within an ecological system). This is achieved by developing a measure of interconnectedness for population distributions defined on a trait space (generalizing the notion of modularity on graphs), in combination with an evolution equation for the population distribution. With this contribution, we provide a platform for understanding under what environmental, ecological, and evolutionary conditions ecosystems evolve toward being more or less modular. A major contribution of this work is that we are able to decompose the overall driver of changes at the macro level (such as interconnectedness) into three components: (i) ecologically driven change, (ii) evolutionarily driven change, and (iii) environmentally driven change.


2005 ◽  
Vol 15 (5) ◽  
pp. 1495-1503 ◽  
Author(s):  
Karin Schiegg ◽  
Jeffrey R. Walters ◽  
Jeffery A. Priddy

2014 ◽  
Vol 19 (4) ◽  
pp. 758-769 ◽  
Author(s):  
Pieter M. F. Elshout ◽  
Rosalie van Zelm ◽  
Ramkumar Karuppiah ◽  
Ian J. Laurenzi ◽  
Mark A. J. Huijbregts

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