Classified Spatial Clustering and Influencing Factors of New Retail Stores: A Case Study of Freshippo in Shanghai.
- Published in:
- Sustainability (2071-1050), 2024, v. 16, n. 15, p. 6643, doi. 10.3390/su16156643
- By:
- Publication type:
- Article
Works by Zhang, Ershen
Results: 7
1
2
Study on the Spatial Pattern and Influencing Factors of China's New Energy Vehicle Industry—Based on Data of Relevant Listed Companies from 2008–2021.
- Published in:
- Sustainability (2071-1050), 2023, v. 15, n. 4, p. 3058, doi. 10.3390/su15043058
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- Publication type:
- Article
3
Spatiotemporal Variation and Influencing Factors of Grain Yield in Major Grain-Producing Counties: A Comparative Study of Two Provinces from China.
- Published in:
- Land (2012), 2023, v. 12, n. 9, p. 1810, doi. 10.3390/land12091810
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- Publication type:
- Article
4
Spatial-Temporal Evolution Patterns and Influencing Factors of Hotels in Yellow River Basin from 2012 to 2022.
- Published in:
- Land (2012), 2023, v. 12, n. 4, p. 770, doi. 10.3390/land12040770
- By:
- Publication type:
- Article
5
A study on the influencing factors of rural land transfer willingness in different terrain areas——Based on the questionnaire survey data of Anhui Province and Qinghai Province, China.
- Published in:
- PLoS ONE, 2024, v. 19, n. 6, p. 1, doi. 10.1371/journal.pone.0303078
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- Publication type:
- Article
6
An Improved Gray Neural Network Method to Optimize Spatial and Temporal Characteristics Analysis of Land-Use Change.
- Published in:
- Computational Intelligence & Neuroscience, 2022, p. 1, doi. 10.1155/2022/2699031
- By:
- Publication type:
- Article
7
Analysis of Human Geography Space Based on Geographic Information System in the Context of Rural Revitalization.
- Published in:
- Computational Intelligence & Neuroscience, 2022, p. 1, doi. 10.1155/2022/6217760
- By:
- Publication type:
- Article