A5064166714- Human Mobility and Location-Based Analysis
- Spatial and Panel Data Analysis
- Urban Transport and Accessibility
- Data-Driven Disease Surveillance
- Land Use and Ecosystem Services
- Geographic Information Systems Studies
- Diverse Aspects of Tourism Research
- Data Management and Algorithms
- COVID-19 epidemiological studies
- COVID-19 Clinical Research Studies
- Forecasting Techniques and Applications
- Advanced Decision-Making Techniques
- Advanced Statistical Process Monitoring
- Transportation Planning and Optimization
- Advanced Statistical Methods and Models
- Industrial Vision Systems and Defect Detection
- Andrographolide Research and Applications
- Long-Term Effects of COVID-19
- Regional Economics and Spatial Analysis
- Impact of Light on Environment and Health
- Attention Deficit Hyperactivity Disorder
- Marine Biology and Ecology Research
- Soil and Land Suitability Analysis
- Higher Education and Employability
- Business and Management Studies
University of South Florida
2019-2025
University of South Florida St. Petersburg
2020-2025
Chongqing Jiaotong University
2024
China Youth Development Foundation
2020
Hubei Provincial Hospital of Traditional Chinese Medicine
2020
University of Southern California
2017-2018
The Military General Hospital of Beijing PLA
2017
University of North Carolina at Charlotte
2014-2016
Jinan University
2011
Nanjing University
2010
The emergence and rapid advancement of large language models (LLMs), represented by OpenAI’s Generative Pre-trained Transformer (GPT), has brought up new opportunities across various industries disciplines. These cutting-edge technologies are transforming the way we interact with information, communicate, solve complex problems. We conducted a pilot study exploring making maps ChatGPT, popular artificial intelligence (AI) chatbot. Specifically, tested designing thematic using given or public...
As a typical form of geographical phenomena, spatial flow events have been widely studied in contexts like migration, daily commuting, and information exchange through telecommunication. Studying the pattern data serves to reveal essential about underlying process generating phenomena. Most methods global clustering detection local clusters analysis are focused on single‐location or fail preserve integrity events. In this research we introduce new statistical approach detecting (clusters)...
Massive and rapid testing is crucial for containing the spread of COVID-19. Health policy planners must ensure that access to uptake SARS-CoV-2 adequate equitable. This study measures spatial accessibility sites in Florida at census tract level end May 2020, using 2-step floating catchment area method integrates both driving walking modes. Accessibility scores were found be heterogeneous across geographic regions among different groups people. In particular, many rural areas a desert. While...
In late 2023, the image-reading capability added to a Generative Pre-trained Transformer (GPT) framework provided opportunity potentially revolutionize way we view and understand geographic maps, core component of cartography, geography, spatial data science. this study, explore reading analyzing maps with latest version GPT-4-vision-preview (GPT-4V), fully evaluate its advantages disadvantages in comparison human eye-based visual inspections. We found that GPT-4V is able properly retrieve...
ABSTRACT This study proposes a new spatial machine‐learning model called geographical Gaussian process regression (GGPR). GGPR is extended from (GPR) by adopting the principle of similarity for calibration, and it designed to conduct prediction exploratory data analysis (ESDA). addresses several key challenges in machine learning. First, as probabilistic model, avoids conflict between autocorrelation assumption independent identically distributed (i.i.d.), thus enhancing model's objectivity...
ABSTRACT Some recent geospatial artificial intelligence (GeoAI) models have contributed to bridging the gap between (AI) and spatial analysis. However, existing struggle with handling small sample sizes for prediction tasks across large areas. For exploratory data analysis (ESDA), they are susceptible distortion from local outliers lack reliable interpretability methods that consider causal relationships. This study proposes Geographical Graph Attention Networks (GeoGATs), which deep...
Spatial flow data represent meaningful interaction activities between pairs of corresponding locations, such as daily commuting, animal migration, and merchandise shipping. Despite recent advances in analytics, there is a lack literature on detecting bivariate or multivariate spatial patterns. In this paper we introduce new statistical method called Flow Cross K-function, which combines the K-function that detects marked point patterns univariate clustering specifically assesses dependence...
Abstract Territorial control is central to the understanding of violent armed conflicts, yet reliable and valid measures this concept do not exist. We argue that geospatial analysis provides an important perspective measure concept. In particular, measuring territorial can be seen as application calculating service areas around points control. The modeling challenge acute for with limited road infrastructure, where no complete network available perform analysis, movements largely occur off...
Abstract A flaperon belonging to Malaysian Airlines flight MH370 washed ashore on Réunion Island covered with the barnacle Lepas anatifera in July 2015, more than a year after plane's disappearance. Here, we report first high‐precision δ 18 O calcite versus temperature relationship for L . reared under laboratory conditions unlock clues flaperon's drift path and origin. Using this experimental known growth rates , also demonstrate new method (a) converting data one of barnacles into dated...
There has been a large global outbreak of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome 2 (SARS-CoV-2), representing major public health issue. In China, combination therapy, including traditional Chinese medicine (TCM) as treatment for COVID-19 used widely. "Fei Yan No. 1" (QFDYG) is formula recommended the Hubei Government to treat COVID-19. A retrospective study 84 patients from Provincial Hospital TCM and Renmin Hanchuan was conducted explore clinical...
This study aims at developing a data‐driven and bottom‐up spatial statistic method for identifying regions of anomalous interactions (clusters extremely high‐ or low‐value flows), based on which it creates flow weights matrix. The method, dubbed flowAMOEBA, upgrades multidirectional optimum ecotope‐based algorithm (AMOEBA) from areal data to through proper neighborhood definition. has the potential dramatically change way we interactions. First, breaks convention that interaction are always...
Most of the shrinking cities experience an unbalanced deurbanization across different urban areas in cities. However, traditional ways measuring shrinkage are focused on tracking population loss at city level and unable to capture spatially heterogeneous patterns inside a city. Consequently, spatial mechanism remain less understood, which is unhelpful for developing accommodation strategies shrinkage. The smart initiatives practices have provided rich pool geospatial big data resources...
Abstract Numerous studies attempted to associate search engine data with travel behaviors. However, most existing focus on the destinations of and travel, while ignoring origins, which embed critical information where requests were initiated travelers came from. In this study, we explore relationships between two types intercity origin–destination flow data, namely flows flows, which, respectively, record number from one city towards another. By comparing during holiday non‐holiday, examine...
The COVID-19 pandemic threatens physical and mental health of adolescents worldwide has caused increased risks dependence addiction on Internet use during home quarantine. become an important issue in healthcare its prevention treatment is great significance for the development adolescents. We have gathered leading experts China developed this guideline to provide references suggestions prevent treat quarantine help them get through pandemic.
The COVID-19 pandemic has completely disrupted and possibly permanently changed the way humans travel. In Puerto Rico, major travel restrictions to island have persisted at different levels since March 2020, which heavily influenced residents' behaviors. However, it remains unclear about how big impact is inequitable might be. goal of this study evaluate COVID-19's impacts on Rican's behaviors by analyzing flows from Rico contiguous US with a modified gravity model. roles socioeconomic...
One of the enduring issues spatial origin-destination (OD) flow data analysis is computational inefficiency or even impossibility to handle large datasets. Despite recent advancements in high performance computing (HPC) and ready availability powerful infrastructure, we argue that best solutions are based on a thorough understanding fundamental properties data. This paper focuses overcoming challenge through reduction intelligently takes advantage heavy-tailed distributional property most We...
The equitable allocation of COVID-19 vaccines is a critical challenge worldwide, given that the pandemic has been disproportionally affecting economically disadvantaged racial and ethnic groups. In United States, ongoing implementation efforts at different administrative levels districts, to some extent, are standing in conflict with commitments mitigate inequities. this study, we developed spatial optimization model choose best locations for vaccination sites. modified two-step maximal...