Zhiran Zhang
Biographic Data
| ID | 9442664 |
|---|---|
| NAME | Zhiran Zhang |
| GIVEN NAMES | Zhiran |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG Z |
| AFFILIATIONS | Xi'an Shiyou University |
| ORCID | 0000-0003-1447-4517 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A spatial projection pursuit model for identifying comprehensive urban vitality on blocks using multisource geospatial data
Multi-Scale Massive Points Fast Clustering Based on Hierarchical Density Spanning Tree
Spatial clustering is dependent on spatial scales. With the widespread use of web maps, a fast clustering method for multi-scale spatial elements has become a new requirement. Therefore, to cluster and display elements rapidly at different spatial scales, we propose a method called Multi-Scale Massive Points Fast Clustering based on Hierarchical Density Spanning Tree. This study refers to the basic principle of Clustering by Fast Search and Find …
Spatiotemporal Patterns and Driving Factors on Crime Changing During Black Lives Matter Protests
The death of George Floyd has brought a new wave of 2020 Black Lives Matter (BLM) protests into U.S. cities. Protests happened in a few cities accompanied by reports of violence over the first few days. The protests appear to be related to rising crime. This study uses newly collected crime data in 50 U.S. cities/counties to explore the spatiotemporal crime changes under BLM protests and to estimate the driving factors of burglary induced by the …
Exploiting Two-Dimensional Geographical and Synthetic Social Influences for Location Recommendation
With the rapid development of location-based social networks (LBSNs), because human behaviors exhibit specific distribution patterns, personalized geo-social recommendation has played a significant role for LBSNs. In addition to user preference and social influence, geographical influence has also been widely researched in location recommendation. Kernel density estimation (KDE) is a key method in modeling geographical influence. However, most cu…
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Spatiotemporal Patterns and Driving Factors on Crime Changing During Black Lives Matter Protests
The death of George Floyd has brought a new wave of 2020 Black Lives Matter (BLM) protests into U.S. cities. Protests happened in a few cities accompanied by reports of violence over the first few days. The protests appear to be related to rising crime. This study uses newly collected crime data in 50 U.S. cities/counties to explore the spatiotemporal crime changes under BLM protests and to estimate the driving factors of burglary induced by the …
Exploiting Two-Dimensional Geographical and Synthetic Social Influences for Location Recommendation
With the rapid development of location-based social networks (LBSNs), because human behaviors exhibit specific distribution patterns, personalized geo-social recommendation has played a significant role for LBSNs. In addition to user preference and social influence, geographical influence has also been widely researched in location recommendation. Kernel density estimation (KDE) is a key method in modeling geographical influence. However, most cu…
Multi-Scale Massive Points Fast Clustering Based on Hierarchical Density Spanning Tree
Spatial clustering is dependent on spatial scales. With the widespread use of web maps, a fast clustering method for multi-scale spatial elements has become a new requirement. Therefore, to cluster and display elements rapidly at different spatial scales, we propose a method called Multi-Scale Massive Points Fast Clustering based on Hierarchical Density Spanning Tree. This study refers to the basic principle of Clustering by Fast Search and Find …
A spatial projection pursuit model for identifying comprehensive urban vitality on blocks using multisource geospatial data
Computer Science (3 works) · Geography (3 works) · Mathematics (3 works) · Artificial Intelligence (2 works) · Data mining (2 works) · Human Mobility and Location-Based Analysis (2 works) · Statistics (2 works) · Advanced Clustering Algorithms Research (1 work) · Algorithm (1 work) · Cartography (1 work)