Xizhi Zhao
Biographic Data
| ID | 9442665 |
|---|---|
| NAME | Xizhi Zhao |
| GIVEN NAMES | Xizhi |
| FAMILY NAME | Zhao |
| SIGNATURE | ZHAO X |
| AFFILIATIONS | Chinese Academy of Surveying and Mapping |
| ORCID | 0000-0002-5519-934X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| 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 …
Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data—A Case Study of Shanghai, China
Diverse urban environmental elements provide health and amenity value for residents. People are willing to pay a premium for a better environment. Thus, it is essential to assess the benefits and values of these environmental elements. However, limited by the interpretability of the machine learning model, existing studies cannot fully excavate the complex nonlinear relationships between housing prices and environmental elements, as well as the s…
No prominent works on this page.
Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data—A Case Study of Shanghai, China
Diverse urban environmental elements provide health and amenity value for residents. People are willing to pay a premium for a better environment. Thus, it is essential to assess the benefits and values of these environmental elements. However, limited by the interpretability of the machine learning model, existing studies cannot fully excavate the complex nonlinear relationships between housing prices and environmental elements, as well as the s…
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) · Land Use and Ecosystem Services (2 works) · Advanced Clustering Algorithms Research (1 work) · Agricultural economics (1 work) · Algorithm (1 work) · Amenity (1 work) · Artificial Intelligence (1 work) · Business (1 work)