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Project properties |
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| Title | Digital Soil Mapping: model prediction using sampling from national maps to feed into a trans-national model |
| Group | Soil Geography and Landscape |
| Project type | thesis |
| Credits | 36 |
| Supervisor(s) | Titia Mulder (SGL WUR) and Laura Poggio (ISRIC) |
| Examiner(s) | Titia Mulder |
| Contact info | titia.mulder@wur.nl |
| Begin date | 2020/07/20 |
| End date | |
| Description | This project will explore methods to overcome borders effect for maps between countries. The project will explore how information from different national maps can be integrated among countries and with continental/global information to create homogenized information across borders. |
| Used skills | GIS and R scripting |
| Requirements | |