Any space left? Homeless resistance by place-type in Los Angeles County

This study develops a more nuanced concept of homeless resistance, incorporating a range of resistance behaviors (exit, adaptation, persistence, and voice) that bridge the gap between current frameworks that either romanticize or ignore it. We also consider the possibility that different kinds of space may theoretically allow for different kinds of resistance. To this end, we employ an ecological approach to homeless space by classifying Los Angeles County into three place-types (prime, transitional, and marginal). We empirically consider the issue of resistance within the hardening context among a group of 25 homeless informants, focusing on whether and how some of them have exercised their voices and sought to ameliorate one or more aspects of their situation, as well as how resistance may vary by place-type

Measure based metrics for aggregated data

Aggregated data arises commonly from surveys and censuses where groups of individuals are studied as coherent entities. The aggregated data can take many forms including sets, intervals, distributions and histograms. The data analyst needs to measure the similarity between such aggregated data items and a range of metrics are reported in the literature to achieve this (e.g. the Jaccard metric for sets and the Wasserstein metric for histograms). In this paper, a unifying theory based on measure theory is developed that establishes not only that known metrics are essentially similar but also suggests new metrics

On the discovery of social roles in large scale social systems

The social role of a participant in a social system is a label conceptualizing the circumstances under which she interacts within it. They may be used as a theoretical tool that explains why and how users participate in an online social system. Social role analysis also serves practical purposes, such as reducing the structure of complex systems to rela- tionships among roles rather than alters, and enabling a comparison of social systems that emerge in similar contexts. This article presents a data-driven approach for the discovery of social roles in large scale social systems. Motivated by an analysis of the present art, the method discovers roles by the conditional triad censuses of user ego-networks, which is a promising tool because they capture the degree to which basic social forces push upon a user to interact with others. Clusters of censuses, inferred from samples of large scale network carefully chosen to preserve local structural prop- erties, define the social roles. The promise of the method is demonstrated by discussing and discovering the roles that emerge in both Facebook and Wikipedia. The article con- cludes with a discussion of the challenges and future opportunities in the discovery of social roles in large social systems

Measurement and Spatial Effects of the Immigrant Created Cultural Diversity in Sydney

This paper analyses the contribution to the creation of a culturally diverse Sydney landscape by ethnic communities following the arrival of over a million and half non-English speaking settlers since 1948. Through fragmented collective actions, around 450 communal places were established to satisfy collectively perceived needs: places of worship, social and sports clubs, schools, childcare and aged care. Immigrants organised to overcome problems of social deprivation and scarcity of public places. They created needed collective goods on their own, through mutuality and compensated for their own meagre material resources with engendered social capital, time and energy. The diversity and intensity of development reflects differences in the perception of the settlement needs, urgency and aims within diverse ethnic groups. Immigrants enhanced the quality of life and developed a liveable city. Collected data inform on the outcome, developed capacities, investment patterns, annual income and expenditure, usage, management and employment patterns, gender and youth participation, functions and generated activities.Settlement, Ethnic, Collective Goods, Communal Places, Spatial Clusters

The geography of French creative class: An exploratory spatial data analysis

This paper analyses the creative class geography in France, in 2006. This geography is seen here through the lens of Explanatory Spatial Data Analysis (ESDA). This method brings originality to the question of creative people geography in addition to the spatial context, France, where this question hasn’t been deepened yet. Methodology allows measurement of spatial agglomeration degree and identification of creative people location patterns. First, by computing locational Gini index and Moran’s I statistic of global spatial autocorrelation. These measures provide an overview of the spatial distribution of creative people among French districts and the existence of some hotspot regions with strong dynamic of creative people accumulation. Second, Exploratory Spatial Data Analysis (ESDA) tools, such as Moran scatterplot and LISA statistics, allow to identify district clusters of creative people. It leads to evidence that creative people are unevenly geographically distributed across French districts. District clusters of creative occupations result from spreading of French largest cities influence.Creative class, ESDA, location patterns, spatial autocorrelation, French districts

From buildings to cities: techniques for the multi-scale analysis of urban form and function

The built environment is a significant factor in many urban processes, yet direct measures of built form are seldom used in geographical studies. Representation and analysis of urban form and function could provide new insights and improve the evidence base for research. So far progress has been slow due to limited data availability, computational demands, and a lack of methods to integrate built environment data with aggregate geographical analysis. Spatial data and computational improvements are overcoming some of these problems, but there remains a need for techniques to process and aggregate urban form data. Here we develop a Built Environment Model of urban function and dwelling type classifications for Greater London, based on detailed topographic and address-based data (sourced from Ordnance Survey MasterMap). The multi-scale approach allows the Built Environment Model to be viewed at fine-scales for local planning contexts, and at city-wide scales for aggregate geographical analysis, allowing an improved understanding of urban processes. This flexibility is illustrated in the two examples, that of urban function and residential type analysis, where both local-scale urban clustering and city-wide trends in density and agglomeration are shown. While we demonstrate the multi-scale Built Environment Model to be a viable approach, a number of accuracy issues are identified, including the limitations of 2D data, inaccuracies in commercial function data and problems with temporal attribution. These limitations currently restrict the more advanced applications of the Built Environment Model

Household wealth and adolescents' social-emotional functioning in schools.

This study attempts a two-part shift in educational research narrowly fixated on the socioeconomic determinants of student test-score performance. First, we focus on variations in how to measure wealth. Second, we move beyond achievement and focus on the wealth determinants of adolescents' social-emotional competencies. Using data from a nationally-representative sample of US eighth graders, we find that the correlation between wealth and social-emotional competencies varies according to how the partitions among the upper class, the middle and working classes, and the poor are defined. By emphasizing wealth in the production of classed social-emotional competencies not captured by test scores, our findings suggest that the growth of household wealth has a more salient effect for lower- and middle-class adolescents than the highest class which appears to have the least to gain, in terms of social-emotional competencies, from an increase in household wealth