
Hui WangAppalachian State University | ASU · Department of Geography and Planning
Hui Wang
Doctor of Philosophy
About
19
Publications
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Introduction
My research efforts focus on advancing understanding of the interactions between environmental change and human activities. The overall goal of my research is to evaluate their interactions through quantitative approaches, as well as in multi-scaled dimensions.
Publications
Publications (19)
Understanding the relationship between various socioeconomic factors and urban forest structure is essential for directing resources to ensure equitable distribution of green space. Through a case study of a desert city, i.e., Phoenix, AZ, this study provides a novel application of Multiscale Geographically Weighted Regression (MGWR) in which we ex...
Urban land use information is essential for urban planning and sustainable development. However, the increasing prevalence of Mixed-Use Urban Land (MUUL) introduces uncertainty in land use mapping. Due to the compatibility of different human activities within MUUL, identifying MUUL is still a challenge for scholars. In this study, we proposed a nov...
Spatial heterogeneity brings numerous uncertainties to training datasets in the modeling process. An arbitrary selection of training samples can result in a biased simulation. Although previous research provides a chance of reducing the degree of spatial variance through homogeneous divisions, detailed information regarding the impact of the config...
Traditional Chinese medicines (TCMs) are highly valued and widely used worldwide. However, their complex compositions and various preparation processes have brought considerable challenges to the quality evaluation of Chinese medicines. The traditional methods for TCM quality evaluation suffer from the problems of cumbersome sample preparation, a l...
Rainfall-induced landslides are sudden, widespread, and prone to cause significant loss of life and property. To explore the heterogeneity and changes in slope stability under extreme rainfall conditions, we took Yongtai County, Fuzhou City, as the study area, and focused on the impact of rainfall on slope stability during the "7·9" extreme rainsto...
Background
One critical variable in the time series analysis is the change point, which is the point where an abrupt change occurs in chronologically ordered observations. Existing parametric models for change point detection, such as the linear regression model and the Bayesian model, require that observations are normally distributed and that the...
Mass COVID-19 vaccination, as the last resort to bring society to a new normal, has been rapidly rolled out in the US. However, because of the lifting of international travel restrictions, amid the many uncertainties induced by the emerging B.1.1.529 variant, it remains unclear about the timeline of reaching herd immunity and when our daily life wi...
Although the random forest algorithm has been widely applied to remotely sensed data to predict characteristics of forests, such as tree canopy height, the effect of spatial non-stationarity in the modeling process is oftentimes neglected. Previous studies have proposed methods to address the spatial variance at local scales, but few have explored...
With the COVID-19 vaccination widely implemented in most countries, propelled by the need to revive the tourism economy, there is a growing prospect for relieving the social distancing regulation and reopening borders in tourism-oriented countries and regions. The need incentivizes stakeholders to develop border control strategies that fully evalua...
With the COVID-19 vaccination widely implemented in most countries, propelled by the need to revive the tourism economy, there is a growing prospect for relieving the social distancing regulation and reopening borders in tourism-oriented countries and regions. This need incentivizes stakeholders to develop border control strategies that fully evalu...
Background
In the United States, distribution plans for the COVID-19 vaccination were established at the state level. However, some states, such as Connecticut, followed an age-based strategy without considering occupations or co-morbid conditions due to its simplicity in implementation. This strategy raised concerns about exacerbating health inequ...
In the early development of COVID-19, large-scale preventive measures, such as border control and air travel restrictions, were implemented to slow international and domestic transmissions. When these measures were in full effect, new cases of infection would be primarily induced by community spread, such as the human interaction within and between...
Many studies of urban land use have focused on understanding the process and drivers of urban land expansion (ULE). However, these studies rarely examined the long-term trends and abrupt change points of ULE. Moreover, the feedback loop between ULE and land use policy (LUP) has less been investigated. Thus, stakeholders sometimes experience difficu...
In the early development of COVID-19, large-scale preventive measures, such as border control and air travel restrictions, were implemented to slow international and domestic transmissions. When these measures were in full effect, new cases of infection would be primarily induced by community spread, such as the human interaction within and between...
Previous studies have identified the importance of simulating and quantifying the relationship between hydrologic variation and climate change under historical scenarios at regional and continental scales. However, robust demonstration of the potential of combining consistent land use/cover change (LUCC) and climate change to simulate future hydrol...
Understanding the spatiotemporal variation effects of impact factors (IF) on residential land prices (RLP) is an essential requirement for reasonably distributing infrastructure in urban development and renewal. Although many previous studies examined these effects in the dimension of space, temporal variations have been relatively neglected. This...
Simulating land use/cover change (LUCC) and determining its transition rules have been a focus of research for several decades. Previous studies used ordinary logistic regression (OLR) to determine transition rules in cellular automata (CA) modeling of LUCC, which often neglected the spatially non-stationary relationships between driving factors an...
Climate change and land use and cover change (LUCC) have had great impacts on watershed hydrological processes. Although previous studies have focused on quantitative assessment of the impacts of climate change and human activities on decreasing runoff change, few studies have examined regions which have significant increasing runoff due to both cl...