[HTML][HTML] A review of spatially-explicit GeoAI applications in Urban Geography

P Liu, F Biljecki - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Urban Geography studies forms, social fabrics, and economic structures of cities from a
geographic perspective. Catalysed by the increasingly abundant spatial big data, Urban …

Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review

S Wang, X Huang, P Liu, M Zhang, F Biljecki… - International Journal of …, 2024 - Elsevier
This paper brings a comprehensive systematic review of the application of geospatial
artificial intelligence (GeoAI) in quantitative human geography studies, including the …

Reassembling the city through Instagram

JD Boy, J Uitermark - Transactions of the Institute of British …, 2017 - Wiley Online Library
How do people represent the city on social media? And how do these representations feed
back into people's uses of the city? To answer these questions, we develop a relational …

Geographic data science

A Singleton, D Arribas‐Bel - Geographical Analysis, 2021 - Wiley Online Library
It is widely acknowledged that the emergence of “Big Data” is having a profound and often
controversial impact on the production of knowledge. In this context, Data Science has …

Examine the effects of neighborhood equity on disaster situational awareness: Harness machine learning and geotagged Twitter data

W Zhai, ZR Peng, F Yuan - International Journal of Disaster Risk Reduction, 2020 - Elsevier
A disaster-resilient city should address social inequity in all its forms. Complete, accurate,
and up-to-the-minute situational awareness (SA) can help disaster relief organizations …

Digital methods III: The digital mundane

A Leszczynski - Progress in Human geography, 2020 - journals.sagepub.com
This report considers a burgeoning strand of scholarship that foregrounds the mundane in
engagements with the digital. Research concerned with the digital mundane attends to the …

Harnessing the power of machine learning: Can Twitter data be useful in guiding resource allocation decisions during a natural disaster?

D Reynard, M Shirgaokar - Transportation research part D: Transport and …, 2019 - Elsevier
Location-based social networks like Twitter can relay not just what is happening but where.
To enable efficient resource allocation during natural disasters, managers need to know …

Platform affects of geolocation

A Leszczynski - Geoforum, 2019 - Elsevier
This paper engages the intensifying integration of digital location ('geolocation') and
platforms via affect. I mobilize affect as both a theoretical framework and an analytic to …

The digitalisation of consumption and its geographies

C Liu - Geography Compass, 2023 - Wiley Online Library
As consumer cultures become increasingly digital and the digital/data has become more
commodified, geographers have turned their attention to researching the ways in which …

[HTML][HTML] An interactive approach to semantic enrichment with geospatial data

F De Paoli, M Ciavotta, R Avogadro, E Hristov… - Data & Knowledge …, 2024 - Elsevier
The ubiquitous availability of datasets has spurred the utilization of Artificial Intelligence
methods and models to extract valuable insights, unearth hidden patterns, and predict future …