Demographic change, segregation, and the emergence of peripheral spaces in St. Louis, Missouri

2021 ◽  
Vol 133 ◽  
pp. 102472
Author(s):  
Christopher G. Prener
Keyword(s):  
2014 ◽  
Author(s):  
Vegard Iversen ◽  
◽  
Richard Palmer-Jones ◽  

2021 ◽  
Vol 75 (4) ◽  
Author(s):  
Samuel Ellis ◽  
Daniel W. Franks ◽  
Michael N. Weiss ◽  
Michael A. Cant ◽  
Paolo Domenici ◽  
...  

Abstract In studies of social behaviour, social bonds are usually inferred from rates of interaction or association. This approach has revealed many important insights into the proximate formation and ultimate function of animal social structures. However, it remains challenging to compare social structure between systems or time-points because extrinsic factors, such as sampling methodology, can also influence the observed rate of association. As a consequence of these methodological challenges, it is difficult to analyse how patterns of social association change with demographic processes, such as the death of key social partners. Here we develop and illustrate the use of binomial mixture models to quantitatively compare patterns of social association between networks. We then use this method to investigate how patterns of social preferences in killer whales respond to demographic change. Resident killer whales are bisexually philopatric, and both sexes stay in close association with their mother in adulthood. We show that mothers and daughters show reduced social association after the birth of the daughter’s first offspring, but not after the birth of an offspring to the mother. We also show that whales whose mother is dead associate more with their opposite sex siblings and with their grandmother than whales whose mother is alive. Our work demonstrates the utility of using mixture models to compare social preferences between networks and between species. We also highlight other potential uses of this method such as to identify strong social bonds in animal populations. Significance statement Comparing patters of social associations between systems, or between the same systems at different times, is challenging due to the confounding effects of sampling and methodological differences. Here we present a method to allow social associations to be robustly classified and then compared between networks using binomial mixture models. We illustrate this method by showing how killer whales change their patterns of social association in response to the birth of calves and the death of their mother. We show that after the birth of her calf, females associate less with their mother. We also show that whales’ whose mother is dead associate more with their opposite sex siblings and grandmothers than whales’ whose mother is alive. This clearly demonstrates how this method can be used to examine fine scale temporal processes in animal social systems.


2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Federico Zanfi ◽  
Chiara Merlini ◽  
Viviana Giavarini ◽  
Fabio Manfredini

AbstractThe ‘family house’ has played a major role within the urbanisation processes that have been transforming the Italian landscape since the 1960s. It is a common feature of the widespread settlements that are part of what has been labelled the ‘diffuse city’ and was the subject of numerous studies during the 1990s. More than 20 years later, this paper returns to the topic of the Italian family house using a renewed methodological approach to describe relevant changes. The hypothesis here is that in order to grasp the tensions affecting ‘family houses’ in today’s context of demographic transition and increased imbalances between dynamic and declining areas, and to contemplate their future, the qualitative gaze adopted by scholars in the 1990s must be integrated with other investigative tools, focusing on demographic change, uses, and the property values of buildings. Using this perspective, the paper provides a series of ‘portraits’ rooted in four meaningful territorial contexts, portraits which may help scholars to redefine their imagery associated with family house and be useful for dedicated building policies.


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