Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Guy Lansley

Dados Biográficos

ID1521252
NOMEGuy Lansley
PRENOMESGuy
SOBRENOMELansley
ASSINATURALANSLEY G
AFILIAÇÕESDepartment of Geography, Consumer Data Research Centre, University College London, UK
ORCID0000-0002-3406-178X
VERIFICADOSim
TOTAL DE OBRAS5
TOTAL DE CITAÇÕES27
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2015
ANO MAIS RECENTE DE PUBLICAÇÃO2023
ÍNDICE H3
  • Quantifying state-led gentrification in London

    Open Access•Jonathan Reades, Loretta Lees et al.•ARTICLE•Environment and Planning A…•2023•Citada por: 6•Referências: 42

    Over the past 20 years, increasing land values, a rising population and inward investment from overseas have combined to encourage the demolition and redevelopment of many large council-owned estates across London. While it is now widely speculated that this is causing gentrification and displacement, the extent to which it has forced low-income households to move away from their local community remains to a large degree conjectural and specific …

  • Challenges to representing the population from new forms of consumer data

    Open Access•Guy Lansley, James Cheshire•ARTICLE•Geography Compass•2018•Citada por: 3•Referências: 42

    A large share of human activity is now routinely captured and stored by commercial organisations as consumer data. These new forms of data have provided many new and exciting opportunities for understanding population trends at fine spatial scales. In many settings, they have reduced our dependence on theory and traditional modelling approaches and fundamentally changed how geographers approach producing representations of the population. However…

  • The geography of Twitter topics in London

    Open Access•Guy Lansley, Paul A Longley et al.•ARTICLE•Computers Environment and Urban…•2016

    Social media data are increasingly perceived as alternative sources to public attitude surveys because of the volume of available data that are time-stamped and (sometimes) precisely located. Such data can be mined to provide planners, marketers and researchers with useful information about activities and opinions across time and space. However, in their raw form, textual data are still difficult to analyse coherently and Twitter streams pose par…

  • Cars and socio-economics

    Open Access•Guy Lansley•ARTICLE•Regional Studies Regional Science•2016•Citada por: 2•Referências: 1

    There were 30.7 million registered cars in Great Britain in 2011, outnumbering the total number of households recorded by the census. Despite this, the Driving and Vehicle Licensing Agency’s (DVLA) database of car model registrations remains underexplored as an indicator of socio-economic characteristics. In the past, car ownership itself has been frequently considered as a census proxy variable for affluence. However, this is an increasingly dat…

  • The Geotemporal Demographics of Twitter Usage

    Open Access•Paul A Longley, Paul Longley et al.•ARTICLE•Environment and Planning A…•2015•Citada por: 16•Referências: 10

    This paper presents a preliminary empirical evaluation of the strategic importance of infusing Twitter social media data into classifications of small areas, as a way of moving beyond the nighttime residential geographies of conventional geodemographic classifications. We attempt an empirically based critique of the merits and drawbacks of the use of social media data, in which the value of high spatial and temporal granularity of revealed activi…

  • The Geotemporal Demographics of Twitter Usage

    Open Access•Paul A Longley, Paul Longley et al.•ARTICLE•Environment and Planning A…•2015•Citada por: 16•Referências: 10

    This paper presents a preliminary empirical evaluation of the strategic importance of infusing Twitter social media data into classifications of small areas, as a way of moving beyond the nighttime residential geographies of conventional geodemographic classifications. We attempt an empirically based critique of the merits and drawbacks of the use of social media data, in which the value of high spatial and temporal granularity of revealed activi…

  • Quantifying state-led gentrification in London

    Open Access•Jonathan Reades, Loretta Lees et al.•ARTICLE•Environment and Planning A…•2023•Citada por: 6•Referências: 42

    Over the past 20 years, increasing land values, a rising population and inward investment from overseas have combined to encourage the demolition and redevelopment of many large council-owned estates across London. While it is now widely speculated that this is causing gentrification and displacement, the extent to which it has forced low-income households to move away from their local community remains to a large degree conjectural and specific …

  • Challenges to representing the population from new forms of consumer data

    Open Access•Guy Lansley, James Cheshire•ARTICLE•Geography Compass•2018•Citada por: 3•Referências: 42

    A large share of human activity is now routinely captured and stored by commercial organisations as consumer data. These new forms of data have provided many new and exciting opportunities for understanding population trends at fine spatial scales. In many settings, they have reduced our dependence on theory and traditional modelling approaches and fundamentally changed how geographers approach producing representations of the population. However…

  • Cars and socio-economics

    Open Access•Guy Lansley•ARTICLE•Regional Studies Regional Science•2016•Citada por: 2•Referências: 1

    There were 30.7 million registered cars in Great Britain in 2011, outnumbering the total number of households recorded by the census. Despite this, the Driving and Vehicle Licensing Agency’s (DVLA) database of car model registrations remains underexplored as an indicator of socio-economic characteristics. In the past, car ownership itself has been frequently considered as a census proxy variable for affluence. However, this is an increasingly dat…

  • The Geotemporal Demographics of Twitter Usage

    Open Access•Paul A Longley, Paul Longley et al.•ARTICLE•Environment and Planning A…•2015•Citada por: 16•Referências: 10

    This paper presents a preliminary empirical evaluation of the strategic importance of infusing Twitter social media data into classifications of small areas, as a way of moving beyond the nighttime residential geographies of conventional geodemographic classifications. We attempt an empirically based critique of the merits and drawbacks of the use of social media data, in which the value of high spatial and temporal granularity of revealed activi…

  • The geography of Twitter topics in London

    Open Access•Guy Lansley, Paul A Longley et al.•ARTICLE•Computers Environment and Urban…•2016

    Social media data are increasingly perceived as alternative sources to public attitude surveys because of the volume of available data that are time-stamped and (sometimes) precisely located. Such data can be mined to provide planners, marketers and researchers with useful information about activities and opinions across time and space. However, in their raw form, textual data are still difficult to analyse coherently and Twitter streams pose par…

  • Cars and socio-economics

    Open Access•Guy Lansley•ARTICLE•Regional Studies Regional Science•2016•Citada por: 2•Referências: 1

    There were 30.7 million registered cars in Great Britain in 2011, outnumbering the total number of households recorded by the census. Despite this, the Driving and Vehicle Licensing Agency’s (DVLA) database of car model registrations remains underexplored as an indicator of socio-economic characteristics. In the past, car ownership itself has been frequently considered as a census proxy variable for affluence. However, this is an increasingly dat…

  • Challenges to representing the population from new forms of consumer data

    Open Access•Guy Lansley, James Cheshire•ARTICLE•Geography Compass•2018•Citada por: 3•Referências: 42

    A large share of human activity is now routinely captured and stored by commercial organisations as consumer data. These new forms of data have provided many new and exciting opportunities for understanding population trends at fine spatial scales. In many settings, they have reduced our dependence on theory and traditional modelling approaches and fundamentally changed how geographers approach producing representations of the population. However…

  • Quantifying state-led gentrification in London

    Open Access•Jonathan Reades, Loretta Lees et al.•ARTICLE•Environment and Planning A…•2023•Citada por: 6•Referências: 42

    Over the past 20 years, increasing land values, a rising population and inward investment from overseas have combined to encourage the demolition and redevelopment of many large council-owned estates across London. While it is now widely speculated that this is causing gentrification and displacement, the extent to which it has forced low-income households to move away from their local community remains to a large degree conjectural and specific …

Sociology (4 obras) · Computer Science (3 obras) · Data science (3 obras) · Geography (3 obras) · Human Mobility and Location-Based Analysis (3 obras) · Population (3 obras) · Business (2 obras) · Data-Driven Disease Surveillance (2 obras) · Demography (2 obras) · Engineering (2 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae