Yi Qiang

Yi Qiang
University of South Florida | USF · School of Geosciences

PhD in Geography

About

49
Publications
17,341
Reads
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959
Citations
Introduction
I'm an assistant professor at University of South Florida. I'm interested in spatial analysis and modeling, visual analytics, geospatial semantics and environmental modeling.
Additional affiliations
January 2017 - October 2019
University of Hawaiʻi at Mānoa
Position
  • Professor (Assistant)
July 2016 - October 2016
University of Colorado Boulder
Position
  • Research Associate
December 2012 - present
Louisiana State University
Position
  • PostDoc Position
Description
  • Modeling the human-natural dynamics in the coastal Louisiana. Modeling and measuring community vulnerability.

Publications

Publications (49)
Article
Full-text available
Coastal areas serve as a vital interface between the land and sea or ocean and host about 40% of the world’s population, providing significant social, economic, and ecological functions. Meanwhile, the sea-level rise caused by climate change, along with coastal erosion and accretion, alters coastal landscapes profoundly, threatening coastal sustain...
Article
Full-text available
Quantitative assessment of community resilience is a challenge due to the lack of empirical data about human dynamics in disasters. To fill the data gap, this study explores the utility of nighttime lights (NTL) remote sensing images in assessing community recovery and resilience in natural disasters. Specifically, this study utilized the newly-rel...
Article
Full-text available
Information diffusion on social media during disasters is an important indicator of community resilience. As a common natural hazard in the U.S., winter storms often cause adverse socioeconomic impacts on human society. Understanding people's perception and behaviours during winter storms is important to mitigate negative impacts and promote commun...
Thesis
Full-text available
Marine debris is a global crisis that negatively affects human health and safety, wildlife, and coastal economies. Geospatial technology has been deployed to map, measure, and model the sources, pathways, and eventual sinks of marine debris, however data are still scarce due to the high cost of conducting fieldwork or manually labeling debris in re...
Article
Full-text available
Near realtime flood mapping in densely-populated urban areas is critical for emergency response. The strong heterogeneity of urban areas poses a big challenge for accurate near realtime flood mapping. However, previous studies on automatic methods for urban flood mapping perform infeasible in near realtime or fail to generalize well to other floods...
Article
Full-text available
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 mea...
Article
Full-text available
Climate change and natural hazards pose great threats to road transport systems which are ‘lifelines’ of human society. However, there is generally a lack of empirical data and approaches for assessing resilience of road networks in real hazard events. This study introduces an empirical approach to evaluate road network resilience using crowdsource...
Article
Full-text available
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 c...
Article
Full-text available
The representations of space and time are fundamental issues in GIScience. In prevalent GIS and analytical systems, time is modeled as a linear stream of real numbers and space is represented as flat layers with timestamps. Despite their dominance in GIS and information visualization, these representations are inefficient for visualizing data with...
Article
Full-text available
This study integrates publicly available datasets to provide a county-based assessment of socio-economic disparities of population exposure to flood hazards in the United States. Statistical methods were applied to reveal the national trends and local deviations from the trends. Results show that approximately 21.8 million (6.9% of) U.S. population...
Chapter
We report in this chapter our experience in collaboration across boundaries from working on an interdisciplinary project funded by the National Science Foundation under the Dynamics of Coupled Natural-Human Systems program. The project investigates the sustainability of the Mississippi River Delta (MRD), which is considered one of the most vulnerab...
Article
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Published evidence shows that views to blue spaces (e.g. ocean, lake, and river) have positive effects on humans' health and mental well-beings. However, quantitative assessment of blue space visibility is challenging for large spatial areas with complex terrain or built environment. The assessment approach introduced in this study applied an innov...
Article
Full-text available
A pressing question facing the Mississippi River Delta (MRD), like many deltaic communities around the world, is: Will the system be sustainable in the future given the threats of sea level rise, land loss, natural disasters, and depleting natural resources? An integrated coastal modeling framework that incorporates both the natural and human compo...
Article
Full-text available
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 patte...
Article
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, of...
Article
Full-text available
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 i...
Article
Full-text available
The catastrophic earthquake that struck Sichuan Province, China, in 2008 caused serious damage to Wenchuan County and surrounding areas in southwestern China. In recent years, great attention has been paid to the resilience of the affected area. This study applied the resilience inference measurement (RIM) model to quantify and validate the communi...
Article
Full-text available
Understanding human dynamics after a major disaster is important to the region’s sustainable development. This study utilized land cover data to examine how Hurricane Katrina has affected the urban growth pattern in the Mississippi Delta in Louisiana. The study analyzed land cover changes from non-urban to urban in three metropolitan areas, Baton R...
Article
Full-text available
This paper presents an assessment of community resilience to coastal hazards in the Lower Mississippi River Basin (LMRB) region in southeastern Louisiana. The assessment was conducted at the census block group scale. The specific purpose of this study was to provide a quantitative method to assess and validate the community resilience to coastal ha...
Article
Full-text available
High subsidence rates, along with eustatic sea-level change, sediment accumulation and shoreline erosion have led to widespread land loss and the deterioration of ecosystem health around the Lower Mississippi River Basin (LMRB). A proper evaluation of the spatial pattern of subsidence rates in the LMRB is the key to understanding the mechanisms of...
Article
Full-text available
The wetlands of the southern Louisiana coast are disappearing due to a host of environmental stressors. Thus, it is imperative to analyze the spatial and temporal variability of wetland vertical accretion rates. A key question in accretion concerns the role of landfalling hurricanes as a land-building agent, due to their propensity to deposit signi...
Article
Full-text available
Discovering repetitive patterns is important in a wide range of research areas, such as bioinformatics and human movement analysis. This study puts forward a new methodology to identify, visualise and interpret repetitive motion patterns in groups of Moving Point Objects (MPOs). The methodology consists of three steps. First, motion patterns are qu...
Article
Full-text available
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 we...
Article
Full-text available
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...
Article
Full-text available
As one of the most vulnerable coasts in the continental USA, the Lower Mississippi River Basin (LMRB) region has endured numerous hazards over the past decades. The sustainability of this region has drawn great attention from the international, national, and local communities, wanting to understand how the region as a system develops under intense...
Article
Full-text available
The catastrophic earthquake in 2008 has caused serious damage to Wenchuan County and the surrounding area in China. In recent years, great attention has been paid to the resilience of the affected area. This study applied a new framework, the Resilience Inference Measurement (RIM) model, to quantify and validate the community resilience of 105 coun...
Article
Full-text available
Objective Instead of the linear model (LM), time intervals can be represented by a two-dimensional (2D) model, which is called the Triangular Model (TM). Although the TM has been introduced for decades and applied in some areas, there still a lack of empirical studies on its usability. To fill this gap, this study aims to evaluate how people perfor...
Article
Full-text available
When studying geographical phenomena, different levels of spatial and temporal granularity often have to be considered. While various approaches have been proposed to analyse geographical data in a multi-scale perspective, they have all focused on either spatial or temporal attributes rather than on the integration of space and time over multiple s...
Article
Full-text available
Many disciplines are faced with the problem of handling time-series data. This study introduces an innovative visual representation for time series, namely the continuous triangular model. In the continuous triangular model, all subintervals of a time series can be represented in a two-dimensional continuous field, where every point represents a su...
Article
Full-text available
Time intervals are conventionally represented as linear segments in a one-dimensional space. An alternative representation of time intervals is the triangular model (TM), which represents time intervals as points in a two-dimensional space. In this paper, the use of TM in visualising and analysing time intervals is investigated. Not only does this...
Article
Full-text available
Rough set and fuzzy set are two frequently used approaches for modelling and reasoning about imperfect time intervals. In this paper, we focus on imperfect time intervals that can be modelled by rough sets and use an innovative graphic model [i.e. the triangular model (TM)] to represent this kind of imperfect time intervals. This work shows that TM...
Thesis
Time is a pervasive concept involved in all aspects of human activities. It appears to be a tradition that people consider and represent time linearly. Nevertheless, this work shows that extending the representation of time from one-dimension to two-dimension (2D) leads to a better visualization for time intervals and many interval-based concepts....
Article
Full-text available
Every event has an extent in time, which is usually described by crisp time intervals. However, under some circumstances, temporal extents of events are imperfect, and therefore cannot be adequately modelled by crisp time intervals. Rough sets and fuzzy sets are two frequently used tools for representing imperfect temporal information. In this pape...
Conference Paper
This paper introduces an innovative representation of time series data, namely, the Continuous Triangular Model (CTM). In CTM, time series data of different intervals are displayed by a continuous field. Every position in the field represents a specific time interval. From the bottom to the top, the length of intervals increases. The value at each...
Conference Paper
Full-text available
A lot of disciplines (e.g. archaeology) have to process imprecise temporal information. There are different possibilities to handle this kind of information, amongst them e.g. fuzzy set theory and rough set theory. In this paper, due to its capability in the context of many data acquisition applications, the focus has been set on rough set theory....
Article
Full-text available
The study of a lot of disciplines (e.g. history, geology, archaeology and politics) is often connected to temporal information. The nature of temporal information can be very complex. To help students to understand and memorise time-related knowledge, visualisation is a common approach. Currently, time intervals are usually visualised as linear seg...
Conference Paper
Full-text available
An ontology of general science knowledge (SKIo) is developed to enhance machine representation and use of scientific theories in emerging e-Science Knowledge Infrastructures. SKIo specializes the DOLCE foundational ontology with science knowledge primitives, such as science theory, model, data, prediction, and induction. These are arranged to refle...

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