Yi Qiang
Dados Biográficos
| ID | 196907 |
|---|---|
| NOME | Yi Qiang |
| PRENOMES | Yi |
| SOBRENOME | Qiang |
| ASSINATURA | QIANG Y |
| AFILIAÇÕES | University of Hawaiʻi at Mānoa |
| ORCID | 0000-0002-6872-8837 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 18 |
| TOTAL DE CITAÇÕES | 39 |
| TOTAL COMO AUTOR | 18 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2014 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 4 |
Impact of resistance training intensity on body composition and nutritional intake among college women with overweight and obesity
Introduction The prevalence of overweight and obesity among college women is a public health concern. This study examined the effects of different intensities of resistance training on body composition and nutritional intake in overweight and obese college women. Methods A cluster-randomized controlled trial with a 12-week intervention included 72 participants, divided into low, moderate, and high-intensity resistance training groups, along with …
Did official flood maps work in Hurricane Helene? Systematic evaluation of official flood maps with ground-truth observations
Spatial Pattern and Socioeconomic Factors of 2022 Monkeypox Outbreak in the United States
The 2022 global outbreak of monkeypox (mpox) exhibited unprecedented characteristics and transmission dynamics that diverged from historical outbreaks of the disease. This study presents the first county-level spatial analysis of the 2022 mpox outbreak across five U.S. states. We employed spatial and statistical analyses to quantify the spatial patterns of the mpox infection rate and its relations with various socioeconomic and environmental vari…
Unveiling multifaceted resilience
Resilience, denoting the capacity to swiftly recover to a state of normalcy subsequent to the occurrence of a disaster, constitutes a multifaceted phenomenon necessitating in-depth investigation. This study undertakes the quantification of resilience pertaining to specific locales through the utilization of heterogeneous data encompassing visitation patterns, demographic particulars, and points of interest (POI). A heterogeneous graph neural netw…
Wetland Classification, Attribute Accuracy, and Scale
Quantification of all types of uncertainty helps to establish reliability in any analysis. This research focuses on uncertainty in two attribute levels of wetland classification and creates visualization tools to guide analysis of spatial uncertainty patterns over several scales. A novel variant of confusion matrix analysis compares the Cowardin and Hydrogeomorphic wetland classification systems, identifying areas and types of misclassification f…
Deciphering spatial-temporal dynamics of flood exposure in the United States
Environmental justice implications of flood risk in the contiguous United States – a spatiotemporal assessment of flood exposure change from 2001 to 2019
Flood hazard is one of America's most frequent and expensive natural hazards and causes enormous economic losses in the United States every year. Flood hazards disproportionately affect marginalized and socioeconomically disadvantaged populations. This disproportionate flood exposure constitutes a form of environmental injustice. Few studies have undertaken a large-scale assessment of the long-term change of flood exposure. To fill this gap, this…
Analyzing multi-scale spatial point patterns in a pyramid modeling framework
Many spatial analysis methods suffer from the scaling issue identified as part of the Modifiable Areal Unit Problem (MAUP). This article introduces the Pyramid Model (PM), a hierarchical data framework integrating space and spatial scale in a 3D environment to support multi-scale analysis. The utility of the PM is tested in examining quadrat density and kernel density, which are commonly used measures of point patterns. The two metrics computed f…
How to Measure Distance on a Digital Terrain Surface and Why it Matters in Geographical Analysis
Distance is the most fundamental metric in spatial analysis and modeling. Planar distance and geodesic distance are the common distance measurements in current geographic information systems and geospatial analytic tools. However, there is little understanding about how to measure distance in a digital terrain surface and the uncertainty of the measurement. To fill this gap, this study applies a Monte‐Carlo simulation to evaluate seven surface‐ad…
Observing community resilience from space
The shapes of US cities
The declining pattern of population density from city centres to the outskirts has been widely observed in American cities. Such a pattern reflects a trade-off between housing price/commuting cost and employment. However, most previous studies in urban population density functions are based on the Euclidean distance, and do not consider commuting cost in cities. This study provides an empirical evaluation of the classic population density functio…
A synthesis of disaster resilience measurement methods and indices
Modeling the Dynamics of Community Resilience to Coastal Hazards Using a Bayesian Network
Studies on how variables of community resilience to natural hazards interact as a system that affects the final resilience (i.e., their dynamical linkages) have rarely been conducted. Bayesian network (BN), which represents the interdependencies among variables in a graph while expressing the uncertainty in the form of probability distributions, offers an effective way to investigate the interactions among different resilience components and addr…
Mining Twitter Data for Improved Understanding of Disaster Resilience
Coastal communities faced with multiple hazards have shown uneven responses and behaviors. These responses and behaviors could be better understood by analyzing real-time social media data through categorizing them into the three phases of the emergency management: preparedness, response, and recovery. This study analyzes the spatial–temporal patterns of Twitter activities during Hurricane Sandy, which struck the U.S. Northeast on 29 October 2012…
Changes in Exposure to Flood Hazards in the United States
This article conducts a national, county-based assessment of the changes in population and urban areas in high-risk flood zones from 2001 to 2011 in the contiguous United States. The U.S. Federal Emergency Management Agency's (FEMA) 100-year flood maps, land cover data, and census data were used to extract the proportion of developed (urban) land in flood zones by county at the two time points, and indexes of difference were calculated. Local Mor…
A cyberinfrastructure for community resilience assessment and visualization
Disaster resilience is a major societal challenge. Cartography and GIS can contribute substantially to this research area. This paper describes a cyberinfrastructure for disaster resilience assessment and visualization for all counties in the United States. Aided by the Application Programming Interface-enabled web mapping and component-oriented web tools, the cyberinfrastructure is designed to better serve the US communities with comprehensive r…
Mapping and assessing coastal resilience in the Caribbean region
Assessing the vulnerability and resilience to coastal hazards is a critical worldwide issue, especially for hurricane-prone coastal regions such as the Caribbean. However, the development of a useful metric for vulnerability and resilience assessment has a lot of challenges. Cartography and GIS analysis can contribute effectively to the solution of the issue by integrating natural and human data layers for assessment, mapping, and visualization. …
An Exploration of the Conditions Required of Social Organizations to be Contracted by Government as Service Providers
In the Guidelines of the State Council General Office on Government Procurement of Services from the Private and Non-governmental Sectors, “public service provider for the government” is broadly defined; it is stated that npo s, businesses, and industry organizations have equal opportunity to be public service providers. A comparison of local eligibility requirements on npo s serving as public service providers shows that the eligibility requirem…
Mining Twitter Data for Improved Understanding of Disaster Resilience
Coastal communities faced with multiple hazards have shown uneven responses and behaviors. These responses and behaviors could be better understood by analyzing real-time social media data through categorizing them into the three phases of the emergency management: preparedness, response, and recovery. This study analyzes the spatial–temporal patterns of Twitter activities during Hurricane Sandy, which struck the U.S. Northeast on 29 October 2012…
Mapping and assessing coastal resilience in the Caribbean region
Assessing the vulnerability and resilience to coastal hazards is a critical worldwide issue, especially for hurricane-prone coastal regions such as the Caribbean. However, the development of a useful metric for vulnerability and resilience assessment has a lot of challenges. Cartography and GIS analysis can contribute effectively to the solution of the issue by integrating natural and human data layers for assessment, mapping, and visualization. …
Changes in Exposure to Flood Hazards in the United States
This article conducts a national, county-based assessment of the changes in population and urban areas in high-risk flood zones from 2001 to 2011 in the contiguous United States. The U.S. Federal Emergency Management Agency's (FEMA) 100-year flood maps, land cover data, and census data were used to extract the proportion of developed (urban) land in flood zones by county at the two time points, and indexes of difference were calculated. Local Mor…
The shapes of US cities
The declining pattern of population density from city centres to the outskirts has been widely observed in American cities. Such a pattern reflects a trade-off between housing price/commuting cost and employment. However, most previous studies in urban population density functions are based on the Euclidean distance, and do not consider commuting cost in cities. This study provides an empirical evaluation of the classic population density functio…
Modeling the Dynamics of Community Resilience to Coastal Hazards Using a Bayesian Network
Studies on how variables of community resilience to natural hazards interact as a system that affects the final resilience (i.e., their dynamical linkages) have rarely been conducted. Bayesian network (BN), which represents the interdependencies among variables in a graph while expressing the uncertainty in the form of probability distributions, offers an effective way to investigate the interactions among different resilience components and addr…
Environmental justice implications of flood risk in the contiguous United States – a spatiotemporal assessment of flood exposure change from 2001 to 2019
Flood hazard is one of America's most frequent and expensive natural hazards and causes enormous economic losses in the United States every year. Flood hazards disproportionately affect marginalized and socioeconomically disadvantaged populations. This disproportionate flood exposure constitutes a form of environmental injustice. Few studies have undertaken a large-scale assessment of the long-term change of flood exposure. To fill this gap, this…
A cyberinfrastructure for community resilience assessment and visualization
Disaster resilience is a major societal challenge. Cartography and GIS can contribute substantially to this research area. This paper describes a cyberinfrastructure for disaster resilience assessment and visualization for all counties in the United States. Aided by the Application Programming Interface-enabled web mapping and component-oriented web tools, the cyberinfrastructure is designed to better serve the US communities with comprehensive r…
An Exploration of the Conditions Required of Social Organizations to be Contracted by Government as Service Providers
In the Guidelines of the State Council General Office on Government Procurement of Services from the Private and Non-governmental Sectors, “public service provider for the government” is broadly defined; it is stated that npo s, businesses, and industry organizations have equal opportunity to be public service providers. A comparison of local eligibility requirements on npo s serving as public service providers shows that the eligibility requirem…
A cyberinfrastructure for community resilience assessment and visualization
Disaster resilience is a major societal challenge. Cartography and GIS can contribute substantially to this research area. This paper describes a cyberinfrastructure for disaster resilience assessment and visualization for all counties in the United States. Aided by the Application Programming Interface-enabled web mapping and component-oriented web tools, the cyberinfrastructure is designed to better serve the US communities with comprehensive r…
Mapping and assessing coastal resilience in the Caribbean region
Assessing the vulnerability and resilience to coastal hazards is a critical worldwide issue, especially for hurricane-prone coastal regions such as the Caribbean. However, the development of a useful metric for vulnerability and resilience assessment has a lot of challenges. Cartography and GIS analysis can contribute effectively to the solution of the issue by integrating natural and human data layers for assessment, mapping, and visualization. …
Changes in Exposure to Flood Hazards in the United States
This article conducts a national, county-based assessment of the changes in population and urban areas in high-risk flood zones from 2001 to 2011 in the contiguous United States. The U.S. Federal Emergency Management Agency's (FEMA) 100-year flood maps, land cover data, and census data were used to extract the proportion of developed (urban) land in flood zones by county at the two time points, and indexes of difference were calculated. Local Mor…
A synthesis of disaster resilience measurement methods and indices
Modeling the Dynamics of Community Resilience to Coastal Hazards Using a Bayesian Network
Studies on how variables of community resilience to natural hazards interact as a system that affects the final resilience (i.e., their dynamical linkages) have rarely been conducted. Bayesian network (BN), which represents the interdependencies among variables in a graph while expressing the uncertainty in the form of probability distributions, offers an effective way to investigate the interactions among different resilience components and addr…
Mining Twitter Data for Improved Understanding of Disaster Resilience
Coastal communities faced with multiple hazards have shown uneven responses and behaviors. These responses and behaviors could be better understood by analyzing real-time social media data through categorizing them into the three phases of the emergency management: preparedness, response, and recovery. This study analyzes the spatial–temporal patterns of Twitter activities during Hurricane Sandy, which struck the U.S. Northeast on 29 October 2012…
Observing community resilience from space
The shapes of US cities
The declining pattern of population density from city centres to the outskirts has been widely observed in American cities. Such a pattern reflects a trade-off between housing price/commuting cost and employment. However, most previous studies in urban population density functions are based on the Euclidean distance, and do not consider commuting cost in cities. This study provides an empirical evaluation of the classic population density functio…
How to Measure Distance on a Digital Terrain Surface and Why it Matters in Geographical Analysis
Distance is the most fundamental metric in spatial analysis and modeling. Planar distance and geodesic distance are the common distance measurements in current geographic information systems and geospatial analytic tools. However, there is little understanding about how to measure distance in a digital terrain surface and the uncertainty of the measurement. To fill this gap, this study applies a Monte‐Carlo simulation to evaluate seven surface‐ad…
Analyzing multi-scale spatial point patterns in a pyramid modeling framework
Many spatial analysis methods suffer from the scaling issue identified as part of the Modifiable Areal Unit Problem (MAUP). This article introduces the Pyramid Model (PM), a hierarchical data framework integrating space and spatial scale in a 3D environment to support multi-scale analysis. The utility of the PM is tested in examining quadrat density and kernel density, which are commonly used measures of point patterns. The two metrics computed f…
Wetland Classification, Attribute Accuracy, and Scale
Quantification of all types of uncertainty helps to establish reliability in any analysis. This research focuses on uncertainty in two attribute levels of wetland classification and creates visualization tools to guide analysis of spatial uncertainty patterns over several scales. A novel variant of confusion matrix analysis compares the Cowardin and Hydrogeomorphic wetland classification systems, identifying areas and types of misclassification f…
Deciphering spatial-temporal dynamics of flood exposure in the United States
Environmental justice implications of flood risk in the contiguous United States – a spatiotemporal assessment of flood exposure change from 2001 to 2019
Flood hazard is one of America's most frequent and expensive natural hazards and causes enormous economic losses in the United States every year. Flood hazards disproportionately affect marginalized and socioeconomically disadvantaged populations. This disproportionate flood exposure constitutes a form of environmental injustice. Few studies have undertaken a large-scale assessment of the long-term change of flood exposure. To fill this gap, this…
Impact of resistance training intensity on body composition and nutritional intake among college women with overweight and obesity
Introduction The prevalence of overweight and obesity among college women is a public health concern. This study examined the effects of different intensities of resistance training on body composition and nutritional intake in overweight and obese college women. Methods A cluster-randomized controlled trial with a 12-week intervention included 72 participants, divided into low, moderate, and high-intensity resistance training groups, along with …
Did official flood maps work in Hurricane Helene? Systematic evaluation of official flood maps with ground-truth observations
Spatial Pattern and Socioeconomic Factors of 2022 Monkeypox Outbreak in the United States
The 2022 global outbreak of monkeypox (mpox) exhibited unprecedented characteristics and transmission dynamics that diverged from historical outbreaks of the disease. This study presents the first county-level spatial analysis of the 2022 mpox outbreak across five U.S. states. We employed spatial and statistical analyses to quantify the spatial patterns of the mpox infection rate and its relations with various socioeconomic and environmental vari…
Unveiling multifaceted resilience
Resilience, denoting the capacity to swiftly recover to a state of normalcy subsequent to the occurrence of a disaster, constitutes a multifaceted phenomenon necessitating in-depth investigation. This study undertakes the quantification of resilience pertaining to specific locales through the utilization of heterogeneous data encompassing visitation patterns, demographic particulars, and points of interest (POI). A heterogeneous graph neural netw…
Geography (12 obras) · Computer Science (11 obras) · Disaster Management and Resilience (9 obras) · Cartography (8 obras) · Flood Risk Assessment and Management (8 obras) · Population (7 obras) · Environmental Science (6 obras) · Tropical and Extratropical Cyclones Research (6 obras) · Demography (5 obras) · Natural hazard (5 obras)