Zheye Wang
Biographic Data
| ID | 6312751 |
|---|---|
| NAME | Zheye Wang |
| GIVEN NAMES | Zheye |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Z |
| AFFILIATIONS | Rice University |
| ORCID | 0000-0002-2037-9850 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Unraveling the factors behind self-reported trapped incidents in the extraordinary urban flood disaster
Managed retreat
The government-funded retreat of homeowners from flood-prone housing is a globally ascendant policy of climate adaptation. Yet, we still know relatively little about some fairly basic questions involving its participants: e.g. How much risk do homeowners tolerate before retreating? Where do they move? Does that move reduce their future flood risk? And, to what extent do answers to these questions vary by the type of racial and ethnic communities …
A Machine Learning Approach for Detecting Rescue Requests from Social Media
Hurricane Harvey in 2017 marked an important transition where many disaster victims used social media rather than the overloaded 911 system to seek rescue. This article presents a machine-learning-based detector of rescue requests from Harvey-related Twitter messages, which differentiates itself from existing ones by accounting for the potential impacts of ZIP codes on both the preparation of training samples and the performance of different mach…
Revealing Impacts of Human Activities and Natural Factors on Dynamic Changes of Relationships among Ecosystem Services
Understanding the dynamic changes of relationships between ecosystem services (ESs) and their dominant factors can effectively adjust human activities to adapt proactively to global climate change. In this study, the Huang-Huai-Hai Plain (HHHP) was selected to assess the dynamics of four key ESs (NPP, net primary productivity; WY, water yield; SC, soil conservation; FP, food production) from 2000 to 2020. The constraint lines of interactions amon…
Extending Getis–Ord Statistics to Account for Local Space–Time Autocorrelation in Spatial Panel Data
Space and time are both crucial characteristic dimensions of geographic events and phenomena. Although exploratory spatial data analysis (ESDA) can be used to visualize and summarize complex spatial patterns, it has limitations in capturing the temporal dynamics of geographic features. Efforts have been made to incorporate the time dimension into ESDA techniques to detect space–time clustering or trends. Localized space–time statistics that could…
Social media analytics for natural disaster management
Social media analytics has become prominent in natural disaster management. In spite of a large variety of metadata fields in social media data, four dimensions (i.e. space, time, content and network) have been given particular attention for mining useful information to gain situational awareness and improve disaster response. In this article, we review how existing studies analyze these four dimensions, summarize common techniques for mining the…
Space, time, and situational awareness in natural hazards
Various methods have been developed to investigate the geospatial information, temporal component, and message content in disaster-related social media data to enrich human-centric information for situational awareness. However, few studies have simultaneously analyzed these three dimensions (i.e. space, time, and content). With an attempt to bring a space–time perspective into situational awareness, this study develops a novel approach to integr…
An Empirical Analysis of Arrests and Executions at S-21 Security-Center During the Cambodian Genocide
During the Cambodian genocide (1975–1979), approximately 200 security-centers were established by the Khmer Rouge. One of these institutions, designated by the code-name S-21, had the primary responsibility of punishing individuals deemed ‘guilty’ of crimes against the state. Much research has examined S-21, albeit from the standpoint of its symbolic importance or the conversion of the site into a museum of genocide; less research has empirically…
Emerging data sources and the study of genocide
Space, time, and situational awareness in natural hazards
Various methods have been developed to investigate the geospatial information, temporal component, and message content in disaster-related social media data to enrich human-centric information for situational awareness. However, few studies have simultaneously analyzed these three dimensions (i.e. space, time, and content). With an attempt to bring a space–time perspective into situational awareness, this study develops a novel approach to integr…
Unraveling the factors behind self-reported trapped incidents in the extraordinary urban flood disaster
An Empirical Analysis of Arrests and Executions at S-21 Security-Center During the Cambodian Genocide
During the Cambodian genocide (1975–1979), approximately 200 security-centers were established by the Khmer Rouge. One of these institutions, designated by the code-name S-21, had the primary responsibility of punishing individuals deemed ‘guilty’ of crimes against the state. Much research has examined S-21, albeit from the standpoint of its symbolic importance or the conversion of the site into a museum of genocide; less research has empirically…
An Empirical Analysis of Arrests and Executions at S-21 Security-Center During the Cambodian Genocide
During the Cambodian genocide (1975–1979), approximately 200 security-centers were established by the Khmer Rouge. One of these institutions, designated by the code-name S-21, had the primary responsibility of punishing individuals deemed ‘guilty’ of crimes against the state. Much research has examined S-21, albeit from the standpoint of its symbolic importance or the conversion of the site into a museum of genocide; less research has empirically…
Emerging data sources and the study of genocide
Social media analytics for natural disaster management
Social media analytics has become prominent in natural disaster management. In spite of a large variety of metadata fields in social media data, four dimensions (i.e. space, time, content and network) have been given particular attention for mining useful information to gain situational awareness and improve disaster response. In this article, we review how existing studies analyze these four dimensions, summarize common techniques for mining the…
Space, time, and situational awareness in natural hazards
Various methods have been developed to investigate the geospatial information, temporal component, and message content in disaster-related social media data to enrich human-centric information for situational awareness. However, few studies have simultaneously analyzed these three dimensions (i.e. space, time, and content). With an attempt to bring a space–time perspective into situational awareness, this study develops a novel approach to integr…
Extending Getis–Ord Statistics to Account for Local Space–Time Autocorrelation in Spatial Panel Data
Space and time are both crucial characteristic dimensions of geographic events and phenomena. Although exploratory spatial data analysis (ESDA) can be used to visualize and summarize complex spatial patterns, it has limitations in capturing the temporal dynamics of geographic features. Efforts have been made to incorporate the time dimension into ESDA techniques to detect space–time clustering or trends. Localized space–time statistics that could…
A Machine Learning Approach for Detecting Rescue Requests from Social Media
Hurricane Harvey in 2017 marked an important transition where many disaster victims used social media rather than the overloaded 911 system to seek rescue. This article presents a machine-learning-based detector of rescue requests from Harvey-related Twitter messages, which differentiates itself from existing ones by accounting for the potential impacts of ZIP codes on both the preparation of training samples and the performance of different mach…
Revealing Impacts of Human Activities and Natural Factors on Dynamic Changes of Relationships among Ecosystem Services
Understanding the dynamic changes of relationships between ecosystem services (ESs) and their dominant factors can effectively adjust human activities to adapt proactively to global climate change. In this study, the Huang-Huai-Hai Plain (HHHP) was selected to assess the dynamics of four key ESs (NPP, net primary productivity; WY, water yield; SC, soil conservation; FP, food production) from 2000 to 2020. The constraint lines of interactions amon…
Managed retreat
The government-funded retreat of homeowners from flood-prone housing is a globally ascendant policy of climate adaptation. Yet, we still know relatively little about some fairly basic questions involving its participants: e.g. How much risk do homeowners tolerate before retreating? Where do they move? Does that move reduce their future flood risk? And, to what extent do answers to these questions vary by the type of racial and ethnic communities …
Unraveling the factors behind self-reported trapped incidents in the extraordinary urban flood disaster
Geography (7 works) · Computer Science (6 works) · Disaster Management and Resilience (4 works) · Political science (4 works) · Human Mobility and Location-Based Analysis (3 works) · Law (3 works) · Public Relations and Crisis Communication (3 works) · Social media (3 works) · World Wide Web (3 works) · Archaeology (2 works)