Ling Bian
Biographic Data
| ID | 3584433 |
|---|---|
| NAME | Ling Bian |
| GIVEN NAMES | Ling |
| FAMILY NAME | Bian |
| SIGNATURE | BIAN L |
| AFFILIATIONS | University at Buffalo, State University of New York |
| VERIFIED | No |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 24 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Absolute Space or Relational Space, Which Governs Spatiotemporally Extended Effects in Disease Dispersion
Prevailing disease models typically focus on in‐situ effects, that is, the health risks of a location are affected by the transmission‐driving factors of the same location. The ex‐situ effects, in contrast, extend health risks from neighboring locations and earlier days to focal locations and current dates. These effects could be critical but have not received much attention. This study investigates the extended effects in absolute space and rela…
“What Is Your Primary Language?”
In small-scale multilingual societies, an individual uses a large number of languages and usually identifies one of them as the primary language. Although empirically observable, primary language has been significantly underexplored, particularly the spatiality of its identification. It is not clear whether and how place is related to why one language might be seen as being more significant than other languages. This study predicts the primary la…
Introduction
Networks represent connections between people, things, ideas, and events in physical, digital, or hybrid spaces. The topic has long piqued geographers' curiosity in regard to enduring fundamental questions in our field: How and why do we perceive and represent geographic phenomena as networks? Do networked spaces challenge established geographic thoughts? What kinds of new knowledge inform or transform how we view geographic phenomena as networks…
How regularly do people visit service places
Who Gets the Flu? Individualized Validation of Influenza-like Illness in Urban Spaces
Urban dwellers are exposed to communicable diseases, such as influenza, in various urban spaces. Current disease models are able to predict health outcomes at the individual scale but are mostly validated at coarse scales due to the lack of fine-scaled ground truth data. Further, a large number of transmission-driving factors have been considered in these models. Because of the lack of individual-scaled validations, the effectiveness of factors a…
Introduction
Smart technologies have advanced rapidly throughout our society and across geographic spaces and places. The “smart” developments have presented unprecedented challenges and opportunities for the discipline of geography. This special issue of the Annals of the American Association of Geographers focuses on the theme of smart spaces and places from a wide range of perspectives. The collection of twenty-one articles included in this special issue o…
Data Model, Object‐Oriented
Because the computing environment is finite and discrete, a geographic space must be divided into a finite number of discrete pieces before it can be represented in computers. Spatial data models focus on the design of the discretization and the relationships between the discretized pieces. The representation of space involves three levels of abstraction, including conceptual models, spatial data models, and implementation models. Spatial phenome…
Analysis of Pollution Hazard Intensity
Heavy industrialization has resulted in the contamination of soil by metals from anthropogenic sources in Anniston, Alabama. This situation calls for increased public awareness of the soil contamination issue and better knowledge of the main factors contributing to the potential sources contaminating residential soil. The purpose of this spatial epidemiology research is to describe the effects of physical factors on the concentration of lead (Pb)…
A Location-Centric Network Approach to Analyzing Epidemic Dynamics
Recent health threats, such as the SARS, H1N1, and Ebola pandemics, have stimulated great interest in network models to study the transmission of communicable diseases through human interaction and mobility. Most current network models have focused on an individual-centric perspective where individuals are represented as nodes, and the interactions among them as edges. Few of these models are concerned with the discovery of the spatial patterns a…
Modeling Individual Vulnerability to Communicable Diseases
Reports on dangerous communicable diseases, such as severe acute respiratory syndrome (SARS) and H1N1 flu, have repeatedly stressed the importance of individuals in disease transmission. Still in its infancy, individual-based modeling faces many challenges. From the perspective of modeling approaches, this article explores (1) the framework of a three-population (daytime, nighttime, and pastime population) and two-scale (local and societal scale)…
Object-Oriented Representation of Environmental Phenomena
A geographic space must be partitioned into a finite number of discrete pieces, such as points, lines, polygons, and grid cells, to accommodate the finite computing environment. Because these discrete geometric primitives can be implemented as software objects, the object-oriented computing paradigm might have encouraged the tendency to “objectify” spatial phenomena, regardless of whether they are best represented as objects. A critical review is…
Modeling Individual Vulnerability to Communicable Diseases
Reports on dangerous communicable diseases, such as severe acute respiratory syndrome (SARS) and H1N1 flu, have repeatedly stressed the importance of individuals in disease transmission. Still in its infancy, individual-based modeling faces many challenges. From the perspective of modeling approaches, this article explores (1) the framework of a three-population (daytime, nighttime, and pastime population) and two-scale (local and societal scale)…
A Location-Centric Network Approach to Analyzing Epidemic Dynamics
Recent health threats, such as the SARS, H1N1, and Ebola pandemics, have stimulated great interest in network models to study the transmission of communicable diseases through human interaction and mobility. Most current network models have focused on an individual-centric perspective where individuals are represented as nodes, and the interactions among them as edges. Few of these models are concerned with the discovery of the spatial patterns a…
Introduction
Smart technologies have advanced rapidly throughout our society and across geographic spaces and places. The “smart” developments have presented unprecedented challenges and opportunities for the discipline of geography. This special issue of the Annals of the American Association of Geographers focuses on the theme of smart spaces and places from a wide range of perspectives. The collection of twenty-one articles included in this special issue o…
Object-Oriented Representation of Environmental Phenomena
A geographic space must be partitioned into a finite number of discrete pieces, such as points, lines, polygons, and grid cells, to accommodate the finite computing environment. Because these discrete geometric primitives can be implemented as software objects, the object-oriented computing paradigm might have encouraged the tendency to “objectify” spatial phenomena, regardless of whether they are best represented as objects. A critical review is…
Introduction
Networks represent connections between people, things, ideas, and events in physical, digital, or hybrid spaces. The topic has long piqued geographers' curiosity in regard to enduring fundamental questions in our field: How and why do we perceive and represent geographic phenomena as networks? Do networked spaces challenge established geographic thoughts? What kinds of new knowledge inform or transform how we view geographic phenomena as networks…
Object-Oriented Representation of Environmental Phenomena
A geographic space must be partitioned into a finite number of discrete pieces, such as points, lines, polygons, and grid cells, to accommodate the finite computing environment. Because these discrete geometric primitives can be implemented as software objects, the object-oriented computing paradigm might have encouraged the tendency to “objectify” spatial phenomena, regardless of whether they are best represented as objects. A critical review is…
Modeling Individual Vulnerability to Communicable Diseases
Reports on dangerous communicable diseases, such as severe acute respiratory syndrome (SARS) and H1N1 flu, have repeatedly stressed the importance of individuals in disease transmission. Still in its infancy, individual-based modeling faces many challenges. From the perspective of modeling approaches, this article explores (1) the framework of a three-population (daytime, nighttime, and pastime population) and two-scale (local and societal scale)…
Analysis of Pollution Hazard Intensity
Heavy industrialization has resulted in the contamination of soil by metals from anthropogenic sources in Anniston, Alabama. This situation calls for increased public awareness of the soil contamination issue and better knowledge of the main factors contributing to the potential sources contaminating residential soil. The purpose of this spatial epidemiology research is to describe the effects of physical factors on the concentration of lead (Pb)…
A Location-Centric Network Approach to Analyzing Epidemic Dynamics
Recent health threats, such as the SARS, H1N1, and Ebola pandemics, have stimulated great interest in network models to study the transmission of communicable diseases through human interaction and mobility. Most current network models have focused on an individual-centric perspective where individuals are represented as nodes, and the interactions among them as edges. Few of these models are concerned with the discovery of the spatial patterns a…
Data Model, Object‐Oriented
Because the computing environment is finite and discrete, a geographic space must be divided into a finite number of discrete pieces before it can be represented in computers. Spatial data models focus on the design of the discretization and the relationships between the discretized pieces. The representation of space involves three levels of abstraction, including conceptual models, spatial data models, and implementation models. Spatial phenome…
Introduction
Smart technologies have advanced rapidly throughout our society and across geographic spaces and places. The “smart” developments have presented unprecedented challenges and opportunities for the discipline of geography. This special issue of the Annals of the American Association of Geographers focuses on the theme of smart spaces and places from a wide range of perspectives. The collection of twenty-one articles included in this special issue o…
How regularly do people visit service places
Who Gets the Flu? Individualized Validation of Influenza-like Illness in Urban Spaces
Urban dwellers are exposed to communicable diseases, such as influenza, in various urban spaces. Current disease models are able to predict health outcomes at the individual scale but are mostly validated at coarse scales due to the lack of fine-scaled ground truth data. Further, a large number of transmission-driving factors have been considered in these models. Because of the lack of individual-scaled validations, the effectiveness of factors a…
“What Is Your Primary Language?”
In small-scale multilingual societies, an individual uses a large number of languages and usually identifies one of them as the primary language. Although empirically observable, primary language has been significantly underexplored, particularly the spatiality of its identification. It is not clear whether and how place is related to why one language might be seen as being more significant than other languages. This study predicts the primary la…
Introduction
Networks represent connections between people, things, ideas, and events in physical, digital, or hybrid spaces. The topic has long piqued geographers' curiosity in regard to enduring fundamental questions in our field: How and why do we perceive and represent geographic phenomena as networks? Do networked spaces challenge established geographic thoughts? What kinds of new knowledge inform or transform how we view geographic phenomena as networks…
Absolute Space or Relational Space, Which Governs Spatiotemporally Extended Effects in Disease Dispersion
Prevailing disease models typically focus on in‐situ effects, that is, the health risks of a location are affected by the transmission‐driving factors of the same location. The ex‐situ effects, in contrast, extend health risks from neighboring locations and earlier days to focal locations and current dates. These effects could be critical but have not received much attention. This study investigates the extended effects in absolute space and rela…
Computer Science (9 works) · Geography (8 works) · COVID-19 epidemiological studies (4 works) · Human Mobility and Location-Based Analysis (4 works) · Medicine (4 works) · Cartography (3 works) · Data-Driven Disease Surveillance (3 works) · Environmental health (3 works) · Geographic Information Systems Studies (3 works) · Mathematics (3 works)