On the opportunities and challenges of foundation models for geospatial artificial intelligence
G Mai, W Huang, J Sun, S Song, D Mishra… - ar** a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy
Artificial Intelligence (AI) is a ubiquitous concept and tool already found across society and
an integral part of everyday life. As such, basic understanding and knowledge of AI should …
an integral part of everyday life. As such, basic understanding and knowledge of AI should …
[HTML][HTML] A review of spatially-explicit GeoAI applications in Urban Geography
Urban Geography studies forms, social fabrics, and economic structures of cities from a
geographic perspective. Catalysed by the increasingly abundant spatial big data, Urban …
geographic perspective. Catalysed by the increasingly abundant spatial big data, Urban …
A review of location encoding for GeoAI: methods and applications
ABSTRACT A common need for artificial intelligence models in the broader geoscience is to
encode various types of spatial data, such as points, polylines, polygons, graphs, or rasters …
encode various types of spatial data, such as points, polylines, polygons, graphs, or rasters …
Replication across space and time must be weak in the social and environmental sciences
MF Goodchild, W Li - … of the National Academy of Sciences, 2021 - National Acad Sciences
Replicability takes on special meaning when researching phenomena that are embedded in
space and time, including phenomena distributed on the surface and near surface of the …
space and time, including phenomena distributed on the surface and near surface of the …
[HTML][HTML] Machine learning for spatial analyses in urban areas: a sco** review
The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …
and maintain social justice have been widely recognized. Along with the digitization …
[HTML][HTML] Smart city re-imagined: City planning and GeoAI in the age of big data
This paper aims to engage with the ongoing debates on the role of planning in future smart
cities, to make a case for a reconceptualization of the technocentric notion of the smart city …
cities, to make a case for a reconceptualization of the technocentric notion of the smart city …
GeoAI for large-scale image analysis and machine vision: recent progress of artificial intelligence in geography
GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for
spatial analytics in Geography. Although much progress has been made in exploring the …
spatial analytics in Geography. Although much progress has been made in exploring the …
Sphere2Vec: A general-purpose location representation learning over a spherical surface for large-scale geospatial predictions
Generating learning-friendly representations for points in space is a fundamental and long-
standing problem in machine learning. Recently, multi-scale encoding schemes (such as …
standing problem in machine learning. Recently, multi-scale encoding schemes (such as …