Xiongfa Mai
Biographic Data
| ID | 9965775 |
|---|---|
| NAME | Xiongfa Mai |
| GIVEN NAMES | Xiongfa |
| FAMILY NAME | Mai |
| SIGNATURE | MAI X |
| AFFILIATIONS | Nanning Normal University |
| ORCID | 0000-0002-6891-7822 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Exploring the Spatial Association Between Spatial Categorical Data Using a Fuzzy Geographically Weighted Colocation Quotient Method
Spatial association analysis is essential for understanding interdependencies, spatial proximity, and distribution patterns within spatial data. The spatial scale is a key factor that significantly affects the result of spatial association mining. Traditional methods often rely on a fixed distance threshold (bandwidth) to define the scale effect, which can lead to scale sensitivity and discontinuity results. To address these limitations, this stu…
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Exploring the Spatial Association Between Spatial Categorical Data Using a Fuzzy Geographically Weighted Colocation Quotient Method
Spatial association analysis is essential for understanding interdependencies, spatial proximity, and distribution patterns within spatial data. The spatial scale is a key factor that significantly affects the result of spatial association mining. Traditional methods often rely on a fixed distance threshold (bandwidth) to define the scale effect, which can lead to scale sensitivity and discontinuity results. To address these limitations, this stu…
Artificial Intelligence (1 work) · Beijing (1 work) · Cartography (1 work) · Categorical variable (1 work) · Computer Science (1 work) · Data mining (1 work) · Diverse Aspects of Tourism Research (1 work) · Fuzzy logic (1 work) · Geography (1 work) · Machine learning (1 work)