Guoan Tang
Biographic Data
| ID | 3584497 |
|---|---|
| NAME | Guoan Tang |
| GIVEN NAMES | Guoan |
| FAMILY NAME | Tang |
| SIGNATURE | TANG G |
| AFFILIATIONS | Nanjing Normal University |
| ORCID | 0000-0002-1443-6134 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 19 |
| AUTHOR COUNT | 15 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Desynchrony of public attention dynamics for epidemic development across different geographical scales in the online era
Gendered urban spaces: Unveiling gender segregation through time, space, and behavior - A case study of Zhuhai, China
Vertical 15-minute city: Modeling urban density and functional mix with multi-source geospatial data
Distinguishing the Intervalley Plain from the Intermountain Flat for Landform Mapping Using the Sightline Algorithm
The intervalley plain is an important type of landform for mapping, and it has good connectivity for urban construction and development on the Loess Plateau. During the global landform mapping of the Deep-time Digital Earth (DDE) Big Science Program, it was found that slope and relief amplitude hardly distinguished intervalley plains from intermountain flats. This study established a novel descriptive method based on a digital elevation model to …
How does cultural distance affect tourism destination choice? Evidence from the correlation between regional culture and tourism flow
Refining urban morphology: An explainable machine learning method for estimating footprint-level building height
Advancing indoor risk mapping for virus transmission of infectious diseases through geographic scenario simulation
Close-range interpersonal interactions serve as a major channel for virus transmission, with higher infection risks indoors than outdoors. Thus, evaluating indoor infectious disease transmission risks is vital for effective epidemic prevention and control. However, collecting complete individual-level behavioral data faces challenges due to privacy concerns and data acquisition costs, impeding accurate indoor risk mapping. To address this, we pro…
Advancing Process-Oriented Geographical Regionalization Model
Existing regionalization methods have largely overlooked the temporal dimension, leading to outcomes that predominantly reflect spatial differentiation of regional variables only at a singular temporal instance, rather than across their entire evolutionary process. In response, this research proposes a novel model for geographic process regionalization based on spatial time-series (STS) data. This model is designed to amalgamate adjacent entities…
Integration of migration and attention flow data to reveal association of virtual–real dual intercity network structure
Spatiotemporal Transmission Model to Simulate an Interregional Epidemic Spreading
Infectious disease spread is a spatiotemporal process with significant regional differences that can be affected by multiple factors, such as human mobility and manner of contact. From a geographical perspective, the simulation and analysis of an epidemic can promote an understanding of the contagion mechanism and lead to an accurate prediction of its future trends. The existing methods fail to consider the mutual feedback mechanism of heterogene…
City association pattern discovery: A flow perspective by using cultural semantic similarity of place name
Detecting Colocation Flow Patterns in the Geographical Interaction Data
The detection of colocation pattern is an important and widely used method to analyze the spatial associations of geographical objects and events. Existing studies primarily focus on discovering colocation patterns and association rules based on point data. A broad range of flow data types, such as population flow, logistics, and information flow, have emerged in recent years. However, colocation patterns and association rules based on flow data …
Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs
Quantitative analysis of the differences and the exploration of the evolution models of different loess landform types are greatly important to the in-depth understanding of the evolution process and mechanism of the loess landforms. In this research, several typical loess landform areas in the Chinese Loess Plateau were selected, and the object-oriented image analysis (OBIA) method was employed to identify the basic loess landform types. Three-d…
Using Restaurant POI Data to Explore Regional Structure of Food Culture Based on Cuisine Preference
As a result of the influence of geographical environment and historical heritage, food preference has significant regional differentiation characteristics. However, the spatial structure of food culture represented by the cuisine culture at the regional level has not yet been explored from the perspective of geography. Cultural regionalization is an important way to analyze and understand the spatial structure of food culture. It is of great sign…
Extracting check dam areas from high‐resolution imagery based on the integration of object‐based image analysis and deep learning
Soil loss is a global environmental problem that can intensively damage surrounding ecosystems. To control soil loss and secure agricultural activities, check dams are constructed for soil conservation. However, due to ineffective management, many check dams are abandoned and are highly prone to be damaged due to rainstorms. Such a phenomenon would cause more serious damage to surrounding environments than that associated with common soil loss. T…
Advancing Process-Oriented Geographical Regionalization Model
Existing regionalization methods have largely overlooked the temporal dimension, leading to outcomes that predominantly reflect spatial differentiation of regional variables only at a singular temporal instance, rather than across their entire evolutionary process. In response, this research proposes a novel model for geographic process regionalization based on spatial time-series (STS) data. This model is designed to amalgamate adjacent entities…
Gendered urban spaces: Unveiling gender segregation through time, space, and behavior - A case study of Zhuhai, China
Integration of migration and attention flow data to reveal association of virtual–real dual intercity network structure
Spatiotemporal Transmission Model to Simulate an Interregional Epidemic Spreading
Infectious disease spread is a spatiotemporal process with significant regional differences that can be affected by multiple factors, such as human mobility and manner of contact. From a geographical perspective, the simulation and analysis of an epidemic can promote an understanding of the contagion mechanism and lead to an accurate prediction of its future trends. The existing methods fail to consider the mutual feedback mechanism of heterogene…
Vertical 15-minute city: Modeling urban density and functional mix with multi-source geospatial data
Advancing indoor risk mapping for virus transmission of infectious diseases through geographic scenario simulation
Close-range interpersonal interactions serve as a major channel for virus transmission, with higher infection risks indoors than outdoors. Thus, evaluating indoor infectious disease transmission risks is vital for effective epidemic prevention and control. However, collecting complete individual-level behavioral data faces challenges due to privacy concerns and data acquisition costs, impeding accurate indoor risk mapping. To address this, we pro…
Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs
Quantitative analysis of the differences and the exploration of the evolution models of different loess landform types are greatly important to the in-depth understanding of the evolution process and mechanism of the loess landforms. In this research, several typical loess landform areas in the Chinese Loess Plateau were selected, and the object-oriented image analysis (OBIA) method was employed to identify the basic loess landform types. Three-d…
Using Restaurant POI Data to Explore Regional Structure of Food Culture Based on Cuisine Preference
As a result of the influence of geographical environment and historical heritage, food preference has significant regional differentiation characteristics. However, the spatial structure of food culture represented by the cuisine culture at the regional level has not yet been explored from the perspective of geography. Cultural regionalization is an important way to analyze and understand the spatial structure of food culture. It is of great sign…
Extracting check dam areas from high‐resolution imagery based on the integration of object‐based image analysis and deep learning
Soil loss is a global environmental problem that can intensively damage surrounding ecosystems. To control soil loss and secure agricultural activities, check dams are constructed for soil conservation. However, due to ineffective management, many check dams are abandoned and are highly prone to be damaged due to rainstorms. Such a phenomenon would cause more serious damage to surrounding environments than that associated with common soil loss. T…
City association pattern discovery: A flow perspective by using cultural semantic similarity of place name
Detecting Colocation Flow Patterns in the Geographical Interaction Data
The detection of colocation pattern is an important and widely used method to analyze the spatial associations of geographical objects and events. Existing studies primarily focus on discovering colocation patterns and association rules based on point data. A broad range of flow data types, such as population flow, logistics, and information flow, have emerged in recent years. However, colocation patterns and association rules based on flow data …
Integration of migration and attention flow data to reveal association of virtual–real dual intercity network structure
Spatiotemporal Transmission Model to Simulate an Interregional Epidemic Spreading
Infectious disease spread is a spatiotemporal process with significant regional differences that can be affected by multiple factors, such as human mobility and manner of contact. From a geographical perspective, the simulation and analysis of an epidemic can promote an understanding of the contagion mechanism and lead to an accurate prediction of its future trends. The existing methods fail to consider the mutual feedback mechanism of heterogene…
Distinguishing the Intervalley Plain from the Intermountain Flat for Landform Mapping Using the Sightline Algorithm
The intervalley plain is an important type of landform for mapping, and it has good connectivity for urban construction and development on the Loess Plateau. During the global landform mapping of the Deep-time Digital Earth (DDE) Big Science Program, it was found that slope and relief amplitude hardly distinguished intervalley plains from intermountain flats. This study established a novel descriptive method based on a digital elevation model to …
How does cultural distance affect tourism destination choice? Evidence from the correlation between regional culture and tourism flow
Refining urban morphology: An explainable machine learning method for estimating footprint-level building height
Advancing indoor risk mapping for virus transmission of infectious diseases through geographic scenario simulation
Close-range interpersonal interactions serve as a major channel for virus transmission, with higher infection risks indoors than outdoors. Thus, evaluating indoor infectious disease transmission risks is vital for effective epidemic prevention and control. However, collecting complete individual-level behavioral data faces challenges due to privacy concerns and data acquisition costs, impeding accurate indoor risk mapping. To address this, we pro…
Advancing Process-Oriented Geographical Regionalization Model
Existing regionalization methods have largely overlooked the temporal dimension, leading to outcomes that predominantly reflect spatial differentiation of regional variables only at a singular temporal instance, rather than across their entire evolutionary process. In response, this research proposes a novel model for geographic process regionalization based on spatial time-series (STS) data. This model is designed to amalgamate adjacent entities…
Gendered urban spaces: Unveiling gender segregation through time, space, and behavior - A case study of Zhuhai, China
Vertical 15-minute city: Modeling urban density and functional mix with multi-source geospatial data
Desynchrony of public attention dynamics for epidemic development across different geographical scales in the online era
Computer Science (10 works) · Geography (10 works) · Artificial Intelligence (5 works) · Cartography (5 works) · Mathematics (5 works) · Economic geography (4 works) · Engineering (4 works) · Human Mobility and Location-Based Analysis (4 works) · Complex Network Analysis Techniques (3 works) · COVID-19 epidemiological studies (3 works)