• Publications
  • Influence
Map mashups, Web 2.0 and the GIS revolution
TLDR
The need for a typology of map mashups is suggested while arguing that such a typologies is premature and the need for standards and formats is discussed, moving on to questions of security, privacy and confidentiality. Expand
#Earthquake: Twitter as a Distributed Sensor System
TLDR
The experiments support the notion that people act as sensors to give us comparable results in a timely manner, and can complement other sources of data to enhance the authors' situational awareness and improve their understanding and response to such events. Expand
Key challenges in agent-based modelling for geo-spatial simulation
TLDR
The purpose of this paper is to catalogue these challenges and to illustrate them using three somewhat different agent-based models applied to city systems using a pedestrian model for emergency evacuation in central London, a hypothetical model of residential segregation model tuned to London data, and an agent- based residen- tial location model, for Greater London. Expand
Principles and Concepts of Agent-Based Modelling for Developing Geospatial Simulations
TLDR
The aim of this paper is to outline fundamental concepts and principles of the Agent-Based Modelling (ABM) paradigm, with particular reference to the development of geospatial simulations, and explores the opportunity of linking a GIS with a simulation / modelling system purposely built, and therefore better suited to supporting the requirements of ABM. Expand
Harvesting ambient geospatial information from social media feeds
Social media generated from many individuals is playing a greater role in our daily lives and provides a unique opportunity to gain valuable insight on information flow and social networking within aExpand
Introduction to Agent-Based Modelling
TLDR
This chapter presents in this chapter an overview of ABM; the main features of an agent-based model are given, along with a discussion of what constitutes an agent -based model. Expand
Constructing and implementing an agent-based model of residential segregation through vector GIS
  • A. Crooks
  • Geography, Computer Science
  • Int. J. Geogr. Inf. Sci.
  • 19 April 2010
TLDR
A geographically explicit agent-based model (ABM), loosely coupled with vector geographical information systems (GISs), which explicitly captures and uses geometric data and socioeconomic attributes in the simulation process is presented. Expand
Crowdsourcing urban form and function
TLDR
A new typology for characterizing the role of crowdsourcing in the study of urban morphology is provided by synthesizing recent advancements in the analysis of open-source data, which shows how social media, trajectory, and traffic data can be analyzed to capture the evolving nature of a city’s form and function. Expand
Crowdsourcing a Collective Sense of Place
TLDR
This paper presents results from a novel quantitative approach to derive sociocultural signatures from Twitter contributions and also from corresponding Wikipedia entries, and shows how particular thematic characteristics of places are emerging from such crowd-contributed content. Expand
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