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 …
Unifying spatial and social network analysis in disease ecology
Social network analysis has achieved remarkable popularity in disease ecology, and is
sometimes carried out without investigating spatial heterogeneity. Many investigations into …
sometimes carried out without investigating spatial heterogeneity. Many investigations into …
Does density aggravate the COVID-19 pandemic? Early findings and lessons for planners
Problem, research strategy, and findings: The impact of density on emerging highly
contagious infectious diseases has rarely been studied. In theory, dense areas lead to more …
contagious infectious diseases has rarely been studied. In theory, dense areas lead to more …
Multiscale dynamic human mobility flow dataset in the US during the COVID-19 epidemic
Understanding dynamic human mobility changes and spatial interaction patterns at different
geographic scales is crucial for assessing the impacts of non-pharmaceutical interventions …
geographic scales is crucial for assessing the impacts of non-pharmaceutical interventions …
[图书][B] Social network analysis
D Knoke, S Yang - 2019 - books.google.com
David Knoke and Song Yang′ s Social Network Analysis, Third Edition provides a concise
introduction to the concepts and tools of social network analysis. The authors convey key …
introduction to the concepts and tools of social network analysis. The authors convey key …
COVID-19 and green housing: a review of relevant literature
This review presents an analysis of three hypotheses. The articles provide a specific
perspective on green housing before, during, and post COVID-19. The validations of these …
perspective on green housing before, during, and post COVID-19. The validations of these …
Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks
Dynamic human activity intensity information is of great importance in many location-based
applications. However, two limitations remain in the prediction of human activity intensity …
applications. However, two limitations remain in the prediction of human activity intensity …
[HTML][HTML] Rethinking walkability: Exploring the relationship between urban form and neighborhood social cohesion
Recent research has investigated the importance of both walkable urban design and social
cohesion. Social cohesion has been shown to have broad social and health benefits, and …
cohesion. Social cohesion has been shown to have broad social and health benefits, and …
Understanding the new human dynamics in smart spaces and places: Toward a splatial framework
SL Shaw, D Sui - Smart Spaces and Places, 2021 - taylorfrancis.com
The smart technologies led by advances in artificial intelligence, machine learning, and the
emerging data science in recent years are transforming many facets of society in profound …
emerging data science in recent years are transforming many facets of society in profound …
[PDF][PDF] Methodological issues of spatial agent-based models
Agent based modeling (ABM) is a standard tool that is useful across many disciplines.
Despite widespread and mounting interest in ABM, even broader adoption has been …
Despite widespread and mounting interest in ABM, even broader adoption has been …