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            "abstractNote": "In light of the challenges surrounding the conceptualization and definition of spatial justice within our increasingly data-driven society, this article commences an inquiry into the convergence of space, justice, and data within human geography literature and related disciplines, focusing notably on the urban field. The paper outlines theories concerning social justice-based rights to the city, especially emphasizing the significance of existing literature that bridges such theories with recent scholarship on data justice. It supplements these discussions by deriving a theoretical framework for digital spatial justice rooted in other space-based theories, exploring the more-than-human realms of non-human entities, affect, and information.",
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            "abstractNote": "As the volume of digital data is growing exponentially and computational methods are advancing rapidly, network analysis is an increasingly important analytical tool to understand social life. This paper revisits the rich history of network analysis in geography and uses insights from that history to review contemporary computational social science. Based on that analysis, we synthesize the distinctive qualities of what we term geographical network analysis. Geographical network analysis presumes that networks are situated, construed through meaning, and reflect power relations. Instead of pursuing parsimonious explanations or universal theories, geographical network analysis strives to understand how uneven networks develop across space and within place through a constant back and forth between abstraction and contextualization. Drawing on the articles in this special issue, this paper illustrates how geographical network analysis can be put to work.",
            "publicationTitle": "Tijdschrift voor Economische en Sociale Geografie",
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            "abstractNote": "It is impossible to predict the future spatial structure of cities from our current models of location and travel behaviour for the forces that have previously determined where people locate, have been turned on their heads by the pandemic. The only way we can explore such an uncertain future is to build hypothetical cities on which we are able to experiment with different urban futures. Here we build a hypothetical, symmetric, monocentric city which we proceed to lockdown by moving 80 percent of its workers to work from home. We then illustrate how we can relax this situation, letting the city return to a new equilibrium and showing how changes in our travel behaviour can lead to very different forms of future city. We argue that only through hypothetical simulations can we explore this future effectively and we point to where we have applied the model to London.",
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            "title": "Does lockdown work? A spatial analysis of the spread and concentration of Covid-19 in Italy",
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                    "firstName": "Sebastien",
                    "lastName": "Bourdin"
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            "abstractNote": "The spread of Covid-19 is a global concern, especially in the most developed countries where the rapid spread of the virus has taken governments by surprise. Adopting a spatial approach to this issue, we identify the spatial factors that help explain why some areas are hit harder than others, based on the Italian example (with the Lombardy region as the epicentre in Europe). Our analysis combines an autoregressive spatial model and a bivariate spatial autocorrelation from a pool of data collected from the Italian provinces to propose a real-time analysis of the spread and concentration of the virus. The findings suggest that the most globally connected areas are also the worst hit, and that the implementation of a lockdown at the beginning of March 2020 was a crucial and effective approach to slowing the spread of the virus further.",
            "publicationTitle": "Regional Studies",
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            "date": "July 3, 2021",
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