Xiaobai A Yao
Dados Biográficos
| ID | 1340591 |
|---|---|
| NOME | Xiaobai A Yao |
| PRENOMES | Xiaobai A |
| SOBRENOME | Yao |
| ASSINATURA | YAO X A |
| AFILIAÇÕES | University of Georgia |
| ORCID | 0000-0003-2719-2017 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 15 |
| TOTAL DE CITAÇÕES | 10 |
| TOTAL COMO AUTOR | 15 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2005 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 2 |
Geographically Weighted Canonical Correlation Analysis
This article critically assesses the utility of the classical statistical technique of canonical correlation analysis (CCA) to study spatial associations and proposes a new approach to enhance it. Unlike bivariate correlation analysis, which focuses on the relationship between two individual variables, CCA investigates associations between two sets of variables by finding pairs of linear combinations that are maximally correlated. CCA has great p…
AD-AutoGPT
In this pioneering study, inspired by AutoGPT, the state-of-the-art open-source application based on the GPT-4 large language model, we develop a novel tool called AD-AutoGPT, which can conduct data collection, processing, and analysis about complex health narratives of Alzheimer’s Disease in an autonomous manner via users’ textual prompts. We collated comprehensive data from a variety of news sources, including the Alzheimer’s Association, BBC, …
From theory to deep learning
Developing geospatial analytical methods to explore and communicate the spread of Covid19
The onset of the COVID-19 pandemic in late 2019 triggered an unprecedented global health crisis. Originating in Wuhan, China, the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a worldwide upheaval, affecting every aspect of human life. As countries grappled with rising case counts, hospitalizations, and fatalities, the role of geospatial information and visualization in managing and understanding the pandem…
Bringing ethics to cartography and geographic information science
Improving NO2 prediction by integrating tree diversity, urban form, and scale sensitivity through mobile monitoring
Developing a Place–Time-Specific Transmissibility Index to Measure and Examine the Spatiotemporally Varying Transmissibility of Covid-19
The transmission rate of COVID-19 varies by location and time. A proper measure of the transmissibility of an infectious disease should be place- and time-specific, which is currently unavailable. This research aims to better understand the spatiotemporally changing transmissibility of COVID-19. It contributes to COVID-19 research in three ways. First, it presents a generally applicable modeling framework to estimate the transmissibility of COVID…
Urban form, traffic volume, and air quality
Understanding the interplay between urban form, traffic volume, and air quality is significant for urban planning and environmental sustainability. However, limited progress has been made in bringing effective urban planning strategies to help control traffic demand and resulting air pollutants. Therefore, this study aims to investigate the interrelation between urban form, traffic volume, and air quality with a spatiotemporal stratified method. …
Assessing Place Type Similarities Based on Functional Signatures Extracted from Social Media Data
Place types are often used to query places or retrieve data in gazetteers. Existing gazetteers do not use the same place type classification schemes, and the various typing schemes can cause difficulties in data alignment and matching. Different place types may share some level of similarities. However, previous studies have paid little attention to the place type similarities. This study proposes an analytical approach to measuring similarities …
Analytics of location-based big data for smart cities
Constructing and analyzing spatial-social networks from location-based social media data
People interact with each other in space and time. Improved understanding of human interactions in spatial, temporal, and social dimensions are highly beneficial for research and practices in public health, urban planning, and other fields. Traditional methods of collecting social interaction data are time-intensive and resource-consuming, resulting in relatively small sample sizes and limited information. Furthermore, traditional methods often o…
Agglomeration centrality examination of cities
Assessing Social Vulnerability through a Local Lens
Vulnerability and resilience of coastal communities is increasingly important in the face of sea level rise and severe storms. Situated at the nexus of geographic information systems (GIS) and natural hazard vulnerability, this study compares and integrates a GIS-based approach that produces social vulnerability indexes from census data and a human subject survey-based approach that learns local perceptions of coastal hazards in the aftermath of …
Interoperable Internet Mapping—An Open Source Approach
The development of geographic information systems (GIS) is now being accompanied by an increasing popularity of Internet GIS mapping services. This study concerns two important issues with Internet GIS interoperability and Open source resources. Centering on the interplay of these two issues, we provide a systematic overview of techniques that have been used to deliver Internet GIS mapping and the relevance of the two issues with regard to these …
Visualization of Qualitative Locations in Geographic Information Systems
A qualitative location (QL) refers to the reference of a spatial location using linguistic terms such as qualitative descriptions and qualitative spatial relations with other geo-referenced features. Qualitative locations will be increasingly more popular in the future, driven by theoretical, technological, and database developments. Multiplicity and uncertainty are two innate characteristics of QLs. In other words, a QL often has multiple target…
Developing a Place–Time-Specific Transmissibility Index to Measure and Examine the Spatiotemporally Varying Transmissibility of Covid-19
The transmission rate of COVID-19 varies by location and time. A proper measure of the transmissibility of an infectious disease should be place- and time-specific, which is currently unavailable. This research aims to better understand the spatiotemporally changing transmissibility of COVID-19. It contributes to COVID-19 research in three ways. First, it presents a generally applicable modeling framework to estimate the transmissibility of COVID…
Visualization of Qualitative Locations in Geographic Information Systems
A qualitative location (QL) refers to the reference of a spatial location using linguistic terms such as qualitative descriptions and qualitative spatial relations with other geo-referenced features. Qualitative locations will be increasingly more popular in the future, driven by theoretical, technological, and database developments. Multiplicity and uncertainty are two innate characteristics of QLs. In other words, a QL often has multiple target…
Assessing Social Vulnerability through a Local Lens
Vulnerability and resilience of coastal communities is increasingly important in the face of sea level rise and severe storms. Situated at the nexus of geographic information systems (GIS) and natural hazard vulnerability, this study compares and integrates a GIS-based approach that produces social vulnerability indexes from census data and a human subject survey-based approach that learns local perceptions of coastal hazards in the aftermath of …
Bringing ethics to cartography and geographic information science
Interoperable Internet Mapping—An Open Source Approach
The development of geographic information systems (GIS) is now being accompanied by an increasing popularity of Internet GIS mapping services. This study concerns two important issues with Internet GIS interoperability and Open source resources. Centering on the interplay of these two issues, we provide a systematic overview of techniques that have been used to deliver Internet GIS mapping and the relevance of the two issues with regard to these …
Visualization of Qualitative Locations in Geographic Information Systems
A qualitative location (QL) refers to the reference of a spatial location using linguistic terms such as qualitative descriptions and qualitative spatial relations with other geo-referenced features. Qualitative locations will be increasingly more popular in the future, driven by theoretical, technological, and database developments. Multiplicity and uncertainty are two innate characteristics of QLs. In other words, a QL often has multiple target…
Interoperable Internet Mapping—An Open Source Approach
The development of geographic information systems (GIS) is now being accompanied by an increasing popularity of Internet GIS mapping services. This study concerns two important issues with Internet GIS interoperability and Open source resources. Centering on the interplay of these two issues, we provide a systematic overview of techniques that have been used to deliver Internet GIS mapping and the relevance of the two issues with regard to these …
Agglomeration centrality examination of cities
Assessing Social Vulnerability through a Local Lens
Vulnerability and resilience of coastal communities is increasingly important in the face of sea level rise and severe storms. Situated at the nexus of geographic information systems (GIS) and natural hazard vulnerability, this study compares and integrates a GIS-based approach that produces social vulnerability indexes from census data and a human subject survey-based approach that learns local perceptions of coastal hazards in the aftermath of …
Assessing Place Type Similarities Based on Functional Signatures Extracted from Social Media Data
Place types are often used to query places or retrieve data in gazetteers. Existing gazetteers do not use the same place type classification schemes, and the various typing schemes can cause difficulties in data alignment and matching. Different place types may share some level of similarities. However, previous studies have paid little attention to the place type similarities. This study proposes an analytical approach to measuring similarities …
Analytics of location-based big data for smart cities
Constructing and analyzing spatial-social networks from location-based social media data
People interact with each other in space and time. Improved understanding of human interactions in spatial, temporal, and social dimensions are highly beneficial for research and practices in public health, urban planning, and other fields. Traditional methods of collecting social interaction data are time-intensive and resource-consuming, resulting in relatively small sample sizes and limited information. Furthermore, traditional methods often o…
Urban form, traffic volume, and air quality
Understanding the interplay between urban form, traffic volume, and air quality is significant for urban planning and environmental sustainability. However, limited progress has been made in bringing effective urban planning strategies to help control traffic demand and resulting air pollutants. Therefore, this study aims to investigate the interrelation between urban form, traffic volume, and air quality with a spatiotemporal stratified method. …
Improving NO2 prediction by integrating tree diversity, urban form, and scale sensitivity through mobile monitoring
Developing a Place–Time-Specific Transmissibility Index to Measure and Examine the Spatiotemporally Varying Transmissibility of Covid-19
The transmission rate of COVID-19 varies by location and time. A proper measure of the transmissibility of an infectious disease should be place- and time-specific, which is currently unavailable. This research aims to better understand the spatiotemporally changing transmissibility of COVID-19. It contributes to COVID-19 research in three ways. First, it presents a generally applicable modeling framework to estimate the transmissibility of COVID…
Developing geospatial analytical methods to explore and communicate the spread of Covid19
The onset of the COVID-19 pandemic in late 2019 triggered an unprecedented global health crisis. Originating in Wuhan, China, the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a worldwide upheaval, affecting every aspect of human life. As countries grappled with rising case counts, hospitalizations, and fatalities, the role of geospatial information and visualization in managing and understanding the pandem…
Bringing ethics to cartography and geographic information science
AD-AutoGPT
In this pioneering study, inspired by AutoGPT, the state-of-the-art open-source application based on the GPT-4 large language model, we develop a novel tool called AD-AutoGPT, which can conduct data collection, processing, and analysis about complex health narratives of Alzheimer’s Disease in an autonomous manner via users’ textual prompts. We collated comprehensive data from a variety of news sources, including the Alzheimer’s Association, BBC, …
From theory to deep learning
Geographically Weighted Canonical Correlation Analysis
This article critically assesses the utility of the classical statistical technique of canonical correlation analysis (CCA) to study spatial associations and proposes a new approach to enhance it. Unlike bivariate correlation analysis, which focuses on the relationship between two individual variables, CCA investigates associations between two sets of variables by finding pairs of linear combinations that are maximally correlated. CCA has great p…
Computer Science (13 obras) · Geography (11 obras) · Data science (10 obras) · Cartography (7 obras) · Data mining (6 obras) · Geographic Information Systems Studies (5 obras) · Human Mobility and Location-Based Analysis (5 obras) · Artificial Intelligence (4 obras) · Mathematics (4 obras) · Visualization (4 obras)