Shaowen Wang
Datos Biográficos
| ID | 3584375 |
|---|---|
| NOMBRE | Shaowen Wang |
| NOMBRES | Shaowen |
| APELLIDO | Wang |
| FIRMA | WANG S |
| AFILIACIONES | University of Illinois Urbana-Champaign |
| ORCID | 0000-0001-5848-590X |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 18 |
| TOTAL DE CITAS | 16 |
| TOTAL COMO AUTOR | 18 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2010 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 2 |
High-speed transport infrastructure and labor distribution
Customized decision-making support per location's characteristics of spatial accessibility
Locations can be classified based on the different characteristics (the combination of temporal changes and different levels) of their accessibility. • These clusters can identify diverse needs across locations to effectively reduce access inequality. • Our work can facilitate the optimal resource allocation and support customized and flexible policy responses
Integrating comprehensive geriatric assessment into routine nursing care for older adults with type 2 diabetes
Background Comprehensive geriatric assessment (CGA) offers promise for improving diabetes management in older adults; however, its real-world effectiveness depends on implementation fidelity, which remains poorly understood. This study examined fidelity variations and their associations with clinical outcomes in nurse-led CGA for older adults with type 2 diabetes at a tertiary care hospital in China. Methods This cross-sectional implementation st…
An Areal Approach to Spatial Accessibility Analysis
Place‐based spatial accessibility quantifies the distribution of access to goods and services across space. The Two‐Step Floating Catchment Area (2SFCA) family of methods have become a default tool for spatial accessibility analysis in part due to their intuitive approach and interpretability. This family of methods relies on calculating catchment areas around supply locations to estimate the area and population that may utilize them. However, th…
Ending the HIV Epidemic
Officials from US state and county health departments perceive the need to adopt new methods for making epidemiological decisions about HIV. Hence, a web-based prediction modeling application, CyberGIS-HIV, was developed and systematically compared with currently used approaches (e.g., community consultation) in a sample of 42 state and federal public health officials as well as senior and junior modelers. Overall, CyberGIS-HIV had more favorable…
Daily changes in spatial accessibility to ICU beds and their relationship with the case-fatality ratio of Covid-19 in the state of Texas, USA
Cyberinfrastructure for sustainability sciences
Meeting the United Nation’ Sustainable Development Goals (SDGs) calls for an integrative scientific approach, combining expertise, data, models and tools across many disciplines towards addressing sustainability challenges at various spatial and temporal scales. This holistic approach, while necessary, exacerbates the big data and computational challenges already faced by researchers. Many challenges in sustainability research can be tackled by h…
Particle Swarm Optimization for Calibration in Spatially Explicit Agent-Based Modeling
A challenge in computational Agent-Based Models (ABMs) is the amount of time and resources required to tune a set of parameters for reproducing the observed patterns of phenomena being modeled. Welltuned parameters are necessary for models to reproduce real-world multi-scale space-time patterns, but calibration is o en computationally intensive and time consuming. Particle Swarm Optimization (PSO) is a swarm intelligence optimization algorithm th…
A Seasonal Resilience Index to Evaluate the Impacts of Super Typhoons on Urban Vegetation in Hong Kong
Urban vegetation plays a vital role in developing sustainable cities via essential urban ecoservices. Potential threats, however, from natural disturbances to urban vegetation and its resilience remain unclear at local scales. Taking the super typhoon Mangkhut in 2018 as an example, this study aimed to develop a resilience index to evaluate the impacts of super typhoons on urban vegetation in Hong Kong at the species level. The typhoon impacts an…
A Concurrent Entity Component System for Geographical Wildlife Epidemiological Modeling
North American bat species have been undergoing extreme population declines due to the White‐Nose Syndrome (WNS) epidemic caused by the spread of its pathogen, Pseudogymnoascus destructans . Existing models that represent the spread of the disease are limited in their scalability for use in management decisions or lacked the sophistication necessary to capture the complexity of WNS spread. Grounded in the theory of geoexpression , we exploit the …
ViCTS
Escip
Detecting irregularly shaped spatial clusters within heterogeneous point processes is challenging because the number of potential clusters with different sizes and shapes can be enormous. This research develops a novel method, expansion-based spatial clustering for inhomogeneous point processes (ESCIP), for detecting spatial clusters of any shape within a heterogeneous point process in the context of analyzing spatial big data. Statistical testin…
A CyberGIS Approach to Spatiotemporally Explicit Uncertainty and Global Sensitivity Analysis for Agent-Based Modeling of Vector-Borne Disease Transmission
While agent-based models (ABMs) provide an effective means for investigating complex interactions between heterogeneous agents and their environment, they may hinder an improved understanding of phenomena being modeled due to inherent challenges associated with uncertainty in model parameters. This study uses uncertainty analysis and global sensitivity analysis (UA-GSA) to examine the effects of such uncertainty on model outputs. The statistics u…
The Internet of Things and fast data streams
This paper surveys the rapid development of the Internet of Things, the massive data streams that are only now beginning to be generated from it, and the resulting opportunities and challenges that these data streams bring to geographic information analysis. These challenges arise because streaming data volumes cannot bt subjected to analysis using the standard repertoire of methods that have been designed to analyze static geospatial datasets. N…
CyberGIS
CyberGIS represents an interdisciplinary field that synergizes advanced cyberinfrastructure, geographic information science and systems (GIS), spatial analysis and modeling, and a number of geospatial domains to improve research productivity and enable scientific breakthroughs. It has emerged as a fundamentally new GIS modality based on holistic integration of high‐performance and distributed computing, data‐driven knowledge discovery, visualizat…
CyberGIS and spatial data science
Mapping the global Twitter heartbeat
In just under seven years, Twitter has grown to count nearly 3% of the entire global population among its active users who have sent more than 170 billion 140-character messages. Today the service plays such a significant role in American culture that the Library of Congress has assembled a permanent archive of the site back to its first tweet, updated daily. With its open API, Twitter has become one of the most popular data sources for social re…
A CyberGIS Framework for the Synthesis of Cyberinfrastructure, GIS, and Spatial Analysis
Cyberinfrastructure (CI) integrates distributed information and communication technologies for coordinated knowledge discovery. The purpose of this article is to develop a CyberGIS framework for the synthesis of CI, geographic information systems (GIS), and spatial analysis (broadly including spatial modeling). This framework focuses on enabling computationally intensive and collaborative geographic problem solving. The article describes new tren…
A CyberGIS Framework for the Synthesis of Cyberinfrastructure, GIS, and Spatial Analysis
Cyberinfrastructure (CI) integrates distributed information and communication technologies for coordinated knowledge discovery. The purpose of this article is to develop a CyberGIS framework for the synthesis of CI, geographic information systems (GIS), and spatial analysis (broadly including spatial modeling). This framework focuses on enabling computationally intensive and collaborative geographic problem solving. The article describes new tren…
CyberGIS and spatial data science
The Internet of Things and fast data streams
This paper surveys the rapid development of the Internet of Things, the massive data streams that are only now beginning to be generated from it, and the resulting opportunities and challenges that these data streams bring to geographic information analysis. These challenges arise because streaming data volumes cannot bt subjected to analysis using the standard repertoire of methods that have been designed to analyze static geospatial datasets. N…
A CyberGIS Framework for the Synthesis of Cyberinfrastructure, GIS, and Spatial Analysis
Cyberinfrastructure (CI) integrates distributed information and communication technologies for coordinated knowledge discovery. The purpose of this article is to develop a CyberGIS framework for the synthesis of CI, geographic information systems (GIS), and spatial analysis (broadly including spatial modeling). This framework focuses on enabling computationally intensive and collaborative geographic problem solving. The article describes new tren…
Mapping the global Twitter heartbeat
In just under seven years, Twitter has grown to count nearly 3% of the entire global population among its active users who have sent more than 170 billion 140-character messages. Today the service plays such a significant role in American culture that the Library of Congress has assembled a permanent archive of the site back to its first tweet, updated daily. With its open API, Twitter has become one of the most popular data sources for social re…
CyberGIS and spatial data science
CyberGIS
CyberGIS represents an interdisciplinary field that synergizes advanced cyberinfrastructure, geographic information science and systems (GIS), spatial analysis and modeling, and a number of geospatial domains to improve research productivity and enable scientific breakthroughs. It has emerged as a fundamentally new GIS modality based on holistic integration of high‐performance and distributed computing, data‐driven knowledge discovery, visualizat…
The Internet of Things and fast data streams
This paper surveys the rapid development of the Internet of Things, the massive data streams that are only now beginning to be generated from it, and the resulting opportunities and challenges that these data streams bring to geographic information analysis. These challenges arise because streaming data volumes cannot bt subjected to analysis using the standard repertoire of methods that have been designed to analyze static geospatial datasets. N…
ViCTS
Escip
Detecting irregularly shaped spatial clusters within heterogeneous point processes is challenging because the number of potential clusters with different sizes and shapes can be enormous. This research develops a novel method, expansion-based spatial clustering for inhomogeneous point processes (ESCIP), for detecting spatial clusters of any shape within a heterogeneous point process in the context of analyzing spatial big data. Statistical testin…
A CyberGIS Approach to Spatiotemporally Explicit Uncertainty and Global Sensitivity Analysis for Agent-Based Modeling of Vector-Borne Disease Transmission
While agent-based models (ABMs) provide an effective means for investigating complex interactions between heterogeneous agents and their environment, they may hinder an improved understanding of phenomena being modeled due to inherent challenges associated with uncertainty in model parameters. This study uses uncertainty analysis and global sensitivity analysis (UA-GSA) to examine the effects of such uncertainty on model outputs. The statistics u…
A Concurrent Entity Component System for Geographical Wildlife Epidemiological Modeling
North American bat species have been undergoing extreme population declines due to the White‐Nose Syndrome (WNS) epidemic caused by the spread of its pathogen, Pseudogymnoascus destructans . Existing models that represent the spread of the disease are limited in their scalability for use in management decisions or lacked the sophistication necessary to capture the complexity of WNS spread. Grounded in the theory of geoexpression , we exploit the …
Particle Swarm Optimization for Calibration in Spatially Explicit Agent-Based Modeling
A challenge in computational Agent-Based Models (ABMs) is the amount of time and resources required to tune a set of parameters for reproducing the observed patterns of phenomena being modeled. Welltuned parameters are necessary for models to reproduce real-world multi-scale space-time patterns, but calibration is o en computationally intensive and time consuming. Particle Swarm Optimization (PSO) is a swarm intelligence optimization algorithm th…
A Seasonal Resilience Index to Evaluate the Impacts of Super Typhoons on Urban Vegetation in Hong Kong
Urban vegetation plays a vital role in developing sustainable cities via essential urban ecoservices. Potential threats, however, from natural disturbances to urban vegetation and its resilience remain unclear at local scales. Taking the super typhoon Mangkhut in 2018 as an example, this study aimed to develop a resilience index to evaluate the impacts of super typhoons on urban vegetation in Hong Kong at the species level. The typhoon impacts an…
Daily changes in spatial accessibility to ICU beds and their relationship with the case-fatality ratio of Covid-19 in the state of Texas, USA
Cyberinfrastructure for sustainability sciences
Meeting the United Nation’ Sustainable Development Goals (SDGs) calls for an integrative scientific approach, combining expertise, data, models and tools across many disciplines towards addressing sustainability challenges at various spatial and temporal scales. This holistic approach, while necessary, exacerbates the big data and computational challenges already faced by researchers. Many challenges in sustainability research can be tackled by h…
Integrating comprehensive geriatric assessment into routine nursing care for older adults with type 2 diabetes
Background Comprehensive geriatric assessment (CGA) offers promise for improving diabetes management in older adults; however, its real-world effectiveness depends on implementation fidelity, which remains poorly understood. This study examined fidelity variations and their associations with clinical outcomes in nurse-led CGA for older adults with type 2 diabetes at a tertiary care hospital in China. Methods This cross-sectional implementation st…
An Areal Approach to Spatial Accessibility Analysis
Place‐based spatial accessibility quantifies the distribution of access to goods and services across space. The Two‐Step Floating Catchment Area (2SFCA) family of methods have become a default tool for spatial accessibility analysis in part due to their intuitive approach and interpretability. This family of methods relies on calculating catchment areas around supply locations to estimate the area and population that may utilize them. However, th…
Ending the HIV Epidemic
Officials from US state and county health departments perceive the need to adopt new methods for making epidemiological decisions about HIV. Hence, a web-based prediction modeling application, CyberGIS-HIV, was developed and systematically compared with currently used approaches (e.g., community consultation) in a sample of 42 state and federal public health officials as well as senior and junior modelers. Overall, CyberGIS-HIV had more favorable…
High-speed transport infrastructure and labor distribution
Customized decision-making support per location's characteristics of spatial accessibility
Locations can be classified based on the different characteristics (the combination of temporal changes and different levels) of their accessibility. • These clusters can identify diverse needs across locations to effectively reduce access inequality. • Our work can facilitate the optimal resource allocation and support customized and flexible policy responses
Computer Science (12 obras) · Geography (11 obras) · Data mining (6 obras) · Data science (6 obras) · Geographic Information Systems Studies (5 obras) · Cyberinfrastructure (4 obras) · Mathematics (4 obras) · Urban Transport and Accessibility (4 obras) · Biology (3 obras) · Cartography (3 obras)