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The emergence of new sources of so-called ‘big data’ is regularly described as revolutionizing the study of urban life. Of particular interest is gentrification, which has been measured and mapped in fairly standard ways – even as its place in the broader public consciousness has grown rapidly. We argue that big data offers a new approach to the persistent problem of defining and measuring gentrification. Moreover, using big data also allows us to rethink broader questions about theory and methodological approaches in urban geography and GIScience. Using geotagged Twitter data as an indicator of social activity and connections, we demonstrate how the changing geographies of users’ tweets are proxies for the evolving social and spatial contours of urban neighborhoods. We use the case of Lexington, Kentucky and its gentrifying Northside to analyze the evolving mobilities and relational connections of neighborhood residents and visitors as gentrification intensified over time. We argue that these kinds of big data allow for an analytical approach that focuses on the dynamic, relational connections between people and places, and provides a useful, additional avenue in understanding a process as complex and multifaceted as gentrification.

We propose the construction of a Digital Knowledge Economy Index, quantified by way of measuring content creation and participation through digital platforms, namely the code sharing platform GitHub, the crowdsourced encyclopaedia Wikipedia, and Internet domain registrations and estimating a fifth sub-index for the World Bank Knowledge Economy Index for year 2012. This approach complements conventional data sources such as national statistics and expert surveys and helps reflect the underlying digital content creation, capacities, and skills of the population. An index that combines traditional and novel data sources can provide a more revealing view of the status of the world’s digital knowledge economy and highlight where the (un)availability of digital resources may actually reinforce inequalities in the age of data.

While exciting, Big Data (particularly geotagged social media data) has proven difficult for many urbanists and social science researchers to use. As a partial solution, we propose a strategy that enables the fast extracting of only relevant data from large sets of geosocial data. While contrary to many Big Data approaches—in which analysis is done on the entire dataset—much productive social science work can use smaller datasets—around the same size as census or survey data—within standard methodological frameworks. The approach we outline in this paper—including the example of a fully operating system—offers a solution for urban researchers interested in these types of data but reluctant to personally build data science skills.

This article presents an overview and initial results of a geoweb analysis designed to provide the foundation for a continued discussion of the potential impacts of ‘big data’ for the practice of critical human geography. While Haklay's (2012) observation that social media content is generated by a small number of ‘outliers’ is correct, we explore alternative methods and conceptual frameworks that might allow for one to overcome the limitations of previous analyses of user-generated geographic information. Though more illustrative than explanatory, the results of our analysis suggest a cautious approach toward the use of the geoweb and big data that are as mindful of their shortcomings as their potential. More specifically, we propose five extensions to the typical practice of mapping georeferenced data that we call going ‘beyond the geotag’: (1) going beyond social media that is explicitly geographic; (2) going beyond spatialities of the ‘here and now’; (3) going beyond the proximate; (4) going beyond th...

This article combines geographical studies of both the Internet and religion in an analysis of where and how a variety of religious practices are represented in geotagged Web content. This method provides needed insight into the geography of virtual expressions of religion and highlights the mutually constitutive, and at times contradictory, relationship between the virtual and material dimensions of religious expression. By using the spatialities of religious practice and contestation as an example, this article argues that mappings of virtual representations of material practices are important tools for understanding how online activities simultaneously represent and reproduce the material world.

In this paper we analyze how distances between a sample of a hundred major world cities varies when measured in cyberspace. The project develops a novel spatial statistical model based upon the number of user-generated placemarks indexed by Google Maps. We demonstrate how this metric captures the “invisible” patterns of intercity information flows and helps comprehend the contours of the complex digital network that exists between large urban centers across the world. Using a specially designed software program to interrogate Google Maps, a series of keyword searches (“tourism,” “business,” “hotel”) as well as each of the city names were conducted in each of the sample places. Comparing this digital measure with the material movement of people and other relevant descriptive variables, such as national economic development and language differences, we were able to provide a cogent model that plausibly explains why certain city pairs (especially those that are physically distant) exhibit strong informationa...

This article focuses on the representation of physical places on the Internet or what we term cyberscape. While there is a wide range of online place-related information available, this project uses the metric of the number of user-generated Google Maps placemarks containing specific keywords in locations worldwide. After setting out the methods behind this research, this article provides a cartographic analysis of these cyberscapes and examines how they inform us about the material world. Visibility and invisibility in material space are increasingly being defined by prominence, ranking, and presence on the Internet, and Google has positioned itself as a highly authoritative source of online spatial information. As such, any distinct spatial patterns within uploaded information have the potential to become real and reinforced as Google is relied upon as a mirror of the offline world.

Questions of cost and time distance have long been of interest to geographers and have become a more central concern as globalization advances. We analyze the global air travel system by examining the differences in the costs, distances, and times of one aspect of globalization. We review the extant literature on airline transportation by geographers and others, noting especially the near-century-long interest in unraveling cost, time, and distance issues and designing innovative ways to map these interrelated variables. We expand on this base to bring recent scholarship on power and positionality of cities to our understanding of air travel. Our analysis expands on previous work on airline transport geographies in four distinct ways. First, we developed an international database for a large number of cities worldwide that includes measures of distance, cost, frequency and flight duration of airline connections. Second, this database is examined statistically through ordinary least squares (OLS) ...

Air travel has established itself as an integral part of the globalization process and Europe provides a compelling case study on the scope and shape of air travel vis-a-vis globalization. The major goals of this article are twofold: (1) to describe, analyze, and map the distinctive time, cost, and distance features of the air transportation for European cities and (2) to examine how individual European cities are positioned both within a European and a global context. Utilizing unique datasets on world travel, we show that despite its global nature, air travel to and within Europe remains remarkably variegated with both cores and peripheral cities located in relatively close proximity. The longest times and highest costs are associated with European cities in the south and east (particularly former communist countries) while cities in central and northern Europe that are among the cheapest and easiest to reach time-wise. The cost and time of air travel, however, do not adequately illuminate the specific ...

This article explores the effects of metropolitan industrial structure on housing market outcomes. Housing prices in new economy metropolitan areas are found to be higher, peakier, and more volatile than in old economy markets. Homeownership rates are found to be lower in new economy metropolitan areas, while crowding is higher. Although the distribution of housing values, costs, and rents was more equal in new economy markets, the cause would seem to be differences in area income levels, with poorer metropolitan statistical areas having greater inequalities. Regression analysis is used to identify the contribution of traditional supply and demand factors, such as job growth, income, and residential construction, as well as new economy indicators, to housing market outcomes. Rather than being fundamentally different, new economy housing markets are found to be faster and more extreme versions of traditional housing markets.

Code/Space: Software and Everyday Life, Rob Kitchin and Martin Dodge, MIT Press, Cambridge, MA (2011). xiii + 290 pp. US$35.00 (hbk). ISBN 978 0 262 04248 2. This is an important book about a growi...