Sam Comber
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View article: Dynamic-IMD (D-IMD): Introducing activity spaces to deprivation measurement in London, Birmingham and Liverpool
Dynamic-IMD (D-IMD): Introducing activity spaces to deprivation measurement in London, Birmingham and Liverpool Open
Indicators of deprivation intersect a variety of disciplinary contexts. In this article, we build a multi-space measure of deprivation by introducing urban mobilities derived from location footprints of nearly three million mobile phone us…
View article: ijgis_data_and_code.zip
ijgis_data_and_code.zip Open
This repository contains the code, data and environments required to reproduce certain parts of the paper, "How can object detection be used to understand drivers of consumption space attractiveness?"
View article: A geographic data science framework for the functional and contextual analysis of human dynamics within global cities
A geographic data science framework for the functional and contextual analysis of human dynamics within global cities Open
This study develops a Geographic Data Science framework that transforms the Foursquare check-in locations and user origin-destination flows data into knowledge about the emerging forms and characteristics of cities' neighbourhoods. We empl…
View article: Using convolutional autoencoders to extract visual features of leisure and retail environments
Using convolutional autoencoders to extract visual features of leisure and retail environments Open
Visual characteristics of leisure and retail environments provide sensory cues that can influence how consumers experience and behave within these spaces. In this paper, we provide a computational method that summarises the "visual feature…
View article: Demonstrating the utility of machine learning innovations in address matching to spatial socio-economic applications
Demonstrating the utility of machine learning innovations in address matching to spatial socio-economic applications Open
The last decade has heralded an unprecedented rise in the number, frequency and availability of data sources. Yet they are often incomplete, meaning data fusion is required to enhance their quality and scope. In the context of spatia…
View article: Building Hierarchies of Retail Centers Using Bayesian Multilevel Models
Building Hierarchies of Retail Centers Using Bayesian Multilevel Models Open
The perceived quality of urban environments is intrinsically tied to the availability of desirable leisure and retail opportunities. In this article, we explore methodological approaches for deriving indicators that estimate the willingnes…
View article: Machine learning innovations in address matching: A practical comparison of word2vec and CRFs
Machine learning innovations in address matching: A practical comparison of word2vec and CRFs Open
Record linkage is a frequent obstacle to unlocking the benefits of integrated (spatial) data sources. In the absence of unique identifiers to directly join records, practitioners often rely on text‐based approaches for resolving candidate …
View article: “Waiting on the train”: The anticipatory (causal) effects of Crossrail in Ealing
“Waiting on the train”: The anticipatory (causal) effects of Crossrail in Ealing Open
This paper estimates the willingness-to-pay for anticipated journey-time savings introduced by the Crossrail intervention in the London Borough of Ealing. Given Crossrail remains under construction, we estimate how the anticipated benefit …