An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Estimation
In Earth sciences, unobserved factors exhibit non-stationary spatial distributions, causing the relationships between features and targets to display spatial heterogeneity. In geographic machine learning tasks, conventional statistical learning methods often struggle to capture spatial heterogeneity...
I tiakina i:
| Ngā kaituhi matua: | , , , , |
|---|---|
| Hōputu: | Tuhinga |
| Reo: | Ingarihi |
| I whakaputaina: |
Copernicus Publications
2025-07-01
|
| Rangatū: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Urunga tuihono: | https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/395/2025/isprs-archives-XLVIII-G-2025-395-2025.pdf |
| Tags: |
Tāpirihia he Tūtohu
No Tags, Be the first to tag this record!
|