Songnian Li
Biographic Data
| ID | 3795188 |
|---|---|
| NAME | Songnian Li |
| GIVEN NAMES | Songnian |
| FAMILY NAME | Li |
| SIGNATURE | LI S |
| AFFILIATIONS | Toronto Metropolitan University |
| ORCID | 0000-0002-8244-5681 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
From Where to What
Interventions implemented in geographic space (geo-interventions) have had success in reducing preventable deaths across the world. However, many studies supporting geo-interventions have focused on where to implement them rather than what they are. In this paper, we answer how to model and generate geo-interventions using spatial data, providing what these geo-interventions are and where to apply them. We defined geo-intervention modelling as a …
Spatiotemporal dynamics of violence in social unrest events based on geo-social media data
Unrest events occur in the society in various forms. Some of them can escalate into violence, causing severe damage to property, individuals, and society. Recently, social media, together with AI, has become a crucial tool for monitoring and investigating the development and impact of unrest events. This research aims to comprehensively analyze social media data to explore the spatiotemporal patterns of activities and violence associated with unr…
An Effective Approach to Geometric and Semantic BIM/GIS Data Integration for Urban Digital Twin
Urban Digital Twins (UDTs) demand both simplified geometry and rich semantic information from Building Information Models (BIM) to be effectively integrated into Geospatial Information Systems (GIS). However, current BIM-to-GIS conversion methods struggle with geometric complexity and semantic loss, particularly at scale. This paper proposes a novel, scalable methodology for comprehensive BIM/GIS integration, addressing both geometric and semanti…
Multimodal Spatiotemporal Deep Fusion for Highway Traffic Accident Prediction in Toronto
A proactive traffic safety approach provides a forward-looking method for managing traffic and preventing accidents by identifying high-risk conditions before they occur. Previous studies have often focused on historical crash data or demographic factors, relying on limited single-source inputs and neglecting spatial, temporal, and environmental interactions. This study develops a multimodal spatiotemporal deep fusion framework for predicting tra…
Effect of urban morphology on local-scale urban heat island intensity under varying urbanisation
Urban spatial morphology critically impacts thermal environment distribution, essential for urban planning. However, research on the influence of dynamic changes in urban spatial morphology factors on Local-scale Urban Heat Island Intensity (LUHII) under varying degrees of urbanization remains insufficient. This study investigates the spatiotemporal characteristics of LUHII in Wuhan from 2010 to 2020, focusing on three types of blocks with differ…
Characterizing Production–Living–Ecological Space Evolution and Its Driving Factors
The division of the territorial space functional area is the primary method to study the rational exploitation and use of land space. The research on the Production–Living–Ecological Space (PLES) change and its motivating factors has major implications for managing and optimizing spatial planning and may open up a new research direction for inquiries into environmental change on a global scale. In this study, the transfer matrix and landscape pat…
Detecting spatiotemporal traffic events using geosocial media data
Modeling and Processing of Smart Point Clouds of Cultural Relics with Complex Geometries
The digital documentation of cultural relics plays an important role in archiving, protection, and management. In the field of cultural heritage, three-dimensional (3D) point cloud data is effective at expressing complex geometric structures and geometric details on the surface of cultural relics, but lacks semantic information. To elaborate the geometric information of cultural relics and add meaningful semantic information, we propose a modelin…
A Method for 3D Reconstruction of the Ming and Qing Official-Style Roof Using a Decorative Components Template Library
The ancient roof decorative components of the official-style architectures from the Ming and Qing dynasties in China hold both physical and symbolic significance. These roof structures are the essential objects in three-dimensional (3D) modeling of ancient architectures for traditional Chinese cultural preservation. Although ancient architectures can be surveyed by a 3D laser scanner, the complex geometry and diverse pattern of their roof decorat…
Virtual restoration of stains on ancient paintings with maximum noise fraction transformation based on the hyperspectral imaging
Extracting faded mural patterns based on the combination of spatial-spectral feature of hyperspectral image
Spectral Estimation Model Construction of Heavy Metals in Mining Reclamation Areas
The study reported here examined, as the research subject, surface soils in the Liuxin mining area of Xuzhou, and explored the heavy metal content and spectral data by establishing quantitative models with Multivariable Linear Regression (MLR), Generalized Regression Neural Network (GRNN) and Sequential Minimal Optimization for Support Vector Machine (SMO-SVM) methods. The study results are as follows: (1) the estimations of the spectral inversio…
Architecture Design and Prototyping of a Web-based, Synchronous Collaborative 3D GIS
Collaborative GIS has emerged as an efficient, spatial decision-making tool, especially when 3D GIS models are integrated. While centralized architecture is still dominating the design and development of such tools and/or systems, alternative architecture, such as peer-to-peer (P2P), and hybrids have been given increasingly more attention in designing more scalable and efficient systems. This paper presents a conceptual hybrid system architecture…
Architecture Design and Prototyping of a Web-based, Synchronous Collaborative 3D GIS
Collaborative GIS has emerged as an efficient, spatial decision-making tool, especially when 3D GIS models are integrated. While centralized architecture is still dominating the design and development of such tools and/or systems, alternative architecture, such as peer-to-peer (P2P), and hybrids have been given increasingly more attention in designing more scalable and efficient systems. This paper presents a conceptual hybrid system architecture…
Spectral Estimation Model Construction of Heavy Metals in Mining Reclamation Areas
The study reported here examined, as the research subject, surface soils in the Liuxin mining area of Xuzhou, and explored the heavy metal content and spectral data by establishing quantitative models with Multivariable Linear Regression (MLR), Generalized Regression Neural Network (GRNN) and Sequential Minimal Optimization for Support Vector Machine (SMO-SVM) methods. The study results are as follows: (1) the estimations of the spectral inversio…
Extracting faded mural patterns based on the combination of spatial-spectral feature of hyperspectral image
Virtual restoration of stains on ancient paintings with maximum noise fraction transformation based on the hyperspectral imaging
A Method for 3D Reconstruction of the Ming and Qing Official-Style Roof Using a Decorative Components Template Library
The ancient roof decorative components of the official-style architectures from the Ming and Qing dynasties in China hold both physical and symbolic significance. These roof structures are the essential objects in three-dimensional (3D) modeling of ancient architectures for traditional Chinese cultural preservation. Although ancient architectures can be surveyed by a 3D laser scanner, the complex geometry and diverse pattern of their roof decorat…
Modeling and Processing of Smart Point Clouds of Cultural Relics with Complex Geometries
The digital documentation of cultural relics plays an important role in archiving, protection, and management. In the field of cultural heritage, three-dimensional (3D) point cloud data is effective at expressing complex geometric structures and geometric details on the surface of cultural relics, but lacks semantic information. To elaborate the geometric information of cultural relics and add meaningful semantic information, we propose a modelin…
Characterizing Production–Living–Ecological Space Evolution and Its Driving Factors
The division of the territorial space functional area is the primary method to study the rational exploitation and use of land space. The research on the Production–Living–Ecological Space (PLES) change and its motivating factors has major implications for managing and optimizing spatial planning and may open up a new research direction for inquiries into environmental change on a global scale. In this study, the transfer matrix and landscape pat…
Detecting spatiotemporal traffic events using geosocial media data
An Effective Approach to Geometric and Semantic BIM/GIS Data Integration for Urban Digital Twin
Urban Digital Twins (UDTs) demand both simplified geometry and rich semantic information from Building Information Models (BIM) to be effectively integrated into Geospatial Information Systems (GIS). However, current BIM-to-GIS conversion methods struggle with geometric complexity and semantic loss, particularly at scale. This paper proposes a novel, scalable methodology for comprehensive BIM/GIS integration, addressing both geometric and semanti…
Multimodal Spatiotemporal Deep Fusion for Highway Traffic Accident Prediction in Toronto
A proactive traffic safety approach provides a forward-looking method for managing traffic and preventing accidents by identifying high-risk conditions before they occur. Previous studies have often focused on historical crash data or demographic factors, relying on limited single-source inputs and neglecting spatial, temporal, and environmental interactions. This study develops a multimodal spatiotemporal deep fusion framework for predicting tra…
Effect of urban morphology on local-scale urban heat island intensity under varying urbanisation
Urban spatial morphology critically impacts thermal environment distribution, essential for urban planning. However, research on the influence of dynamic changes in urban spatial morphology factors on Local-scale Urban Heat Island Intensity (LUHII) under varying degrees of urbanization remains insufficient. This study investigates the spatiotemporal characteristics of LUHII in Wuhan from 2010 to 2020, focusing on three types of blocks with differ…
From Where to What
Interventions implemented in geographic space (geo-interventions) have had success in reducing preventable deaths across the world. However, many studies supporting geo-interventions have focused on where to implement them rather than what they are. In this paper, we answer how to model and generate geo-interventions using spatial data, providing what these geo-interventions are and where to apply them. We defined geo-intervention modelling as a …
Spatiotemporal dynamics of violence in social unrest events based on geo-social media data
Unrest events occur in the society in various forms. Some of them can escalate into violence, causing severe damage to property, individuals, and society. Recently, social media, together with AI, has become a crucial tool for monitoring and investigating the development and impact of unrest events. This research aims to comprehensively analyze social media data to explore the spatiotemporal patterns of activities and violence associated with unr…
Computer Science (8 works) · Artificial Intelligence (6 works) · Geography (5 works) · Art (4 works) · Visual arts (4 works) · 3D Surveying and Cultural Heritage (3 works) · Archaeology (3 works) · Environmental Science (3 works) · Geology (3 works) · Human Mobility and Location-Based Analysis (3 works)