Seongin Ahn
Biographic Data
| ID | 9967835 |
|---|---|
| NAME | Seongin Ahn |
| GIVEN NAMES | Seongin |
| FAMILY NAME | Ahn |
| SIGNATURE | AHN S |
| AFFILIATIONS | Korea Institute of Geoscience and Mineral Resources |
| ORCID | 0000-0003-2034-5770 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
A Machine Learning-Based Approach for Spatial Estimation Using the Spatial Features of Coordinate Information
With the development of machine learning technology, research cases for spatial estimation through machine learning approach (MLA) in addition to the traditional geostatistical techniques are increasing. MLA has the advantage that spatial estimation is possible without stationary hypotheses of data, but it is possible for the prediction results to ignore spatial autocorrelation. In recent studies, it was considered by using a distance matrix inst…
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A Machine Learning-Based Approach for Spatial Estimation Using the Spatial Features of Coordinate Information
With the development of machine learning technology, research cases for spatial estimation through machine learning approach (MLA) in addition to the traditional geostatistical techniques are increasing. MLA has the advantage that spatial estimation is possible without stationary hypotheses of data, but it is possible for the prediction results to ignore spatial autocorrelation. In recent studies, it was considered by using a distance matrix inst…
Artificial Intelligence (1 work) · Autocorrelation (1 work) · Computer Science (1 work) · Data mining (1 work) · Geography (1 work) · Kriging (1 work) · Land Use and Ecosystem Services (1 work) · Machine learning (1 work) · Mathematics (1 work) · Orthogonality (1 work)