Search Results for author: Yuhao Kang

Found 10 papers, 4 papers with code

Artificial Intelligence Studies in Cartography: A Review and Synthesis of Methods, Applications, and Ethics

no code implementations13 Dec 2023 Yuhao Kang, Song Gao, Robert E. Roth

The past decade has witnessed the rapid development of geospatial artificial intelligence (GeoAI) primarily due to the ground-breaking achievements in deep learning and machine learning.

Ethics

Understanding Place Identity with Generative AI

no code implementations7 Jun 2023 Kee Moon Jang, Junda Chen, Yuhao Kang, Junghwan Kim, JinHyung Lee, Fábio Duarte

In this study, we aim to test the potential of generative AI as the source of textual and visual information in capturing the place identity of cities assessed by filtered descriptions and images.

STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity

1 code implementation17 Mar 2022 Yuhao Kang, Kunlin Wu, Song Gao, Ignavier Ng, Jinmeng Rao, Shan Ye, Fan Zhang, Teng Fei

In this paper, we propose a Spatial Toeplitz Inverse Covariance-Based Clustering (STICC) method that considers both attributes and spatial relationships of geographic objects for multivariate spatial clustering.

Attribute Clustering

Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic

6 code implementations27 Aug 2020 Yuhao Kang, Song Gao, Yunlei Liang, Mingxiao Li, Jinmeng Rao, Jake Kruse

Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for monitoring and measuring the impacts of non-pharmaceutical interventions (such as stay-at-home orders) during the pandemic.

Social and Information Networks Physics and Society

LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

1 code implementation14 Jun 2020 Jinmeng Rao, Song Gao, Yuhao Kang, Qunying Huang

The prevalence of location-based services contributes to the explosive growth of individual-level trajectory data and raises public concerns about privacy issues.

Privacy Preserving

Mobile phone location data reveal the effect and geographic variation of social distancing on the spread of the COVID-19 epidemic

no code implementations23 Apr 2020 Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse, Doerte Doepfer, Ajay K. Sethi, Juan Francisco Mandujano Reyes, Jonathan Patz, Brian S. Yandell

The emergence of SARS-CoV-2 and the coronavirus infectious disease (COVID-19) has become a pandemic.

Social and Information Networks Physics and Society Populations and Evolution 65D10 H.4; G.3; J.2

Mapping county-level mobility pattern changes in the United States in response to COVID-19

no code implementations9 Apr 2020 Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse

To contain the Coronavirus disease (COVID-19) pandemic, one of the non-pharmacological epidemic control measures in response to the COVID-19 outbreak is reducing the transmission rate of SARS-COV-2 in the population through (physical) social distancing.

Physics and Society Social and Information Networks Populations and Evolution H.4; H.5

Extracting human emotions at different places based on facial expressions and spatial clustering analysis

no code implementations6 May 2019 Yuhao Kang, Qingyuan Jia, Song Gao, Xiaohuan Zeng, Yueyao Wang, Stephan Angsuesser, Yu Liu, Xinyue Ye, Teng Fei

In this study, a novel framework for extracting human emotions from large-scale georeferenced photos at different places is proposed.

Clustering

Transferring Multiscale Map Styles Using Generative Adversarial Networks

no code implementations6 May 2019 Yuhao Kang, Song Gao, Robert E. Roth

The advancement of the Artificial Intelligence (AI) technologies makes it possible to learn stylistic design criteria from existing maps or other visual art and transfer these styles to make new digital maps.

Generative Adversarial Network Style Transfer

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