Articles | Volume 10, issue 2
https://doi.org/10.5194/soil-10-679-2024
© Author(s) 2024. This work is distributed under the Creative Commons Attribution 4.0 License.
Original research article
| 
30 Sep 2024
Original research article |
| 30 Sep 2024
| 30 Sep 2024
Insights into the prediction uncertainty of machine-learning-based digital soil mapping through a local attribution approach
Viewed
Total article views: 991 (including HTML, PDF, and XML)
Views and downloads (calculated since 21 Feb 2024)
Cumulative views and downloads
(calculated since 21 Feb 2024)
Viewed (geographical distribution)
Total article views: 991 (including HTML, PDF, and XML)
Thereof 976 with geography defined
and 15 with unknown origin.
| Country | # | % | |
|---|---|---|---|
| United States of America | 1 | 281 | 28 |
| China | 2 | 175 | 17 |
| France | 3 | 89 | 8 |
| Germany | 4 | 51 | 5 |
| Netherlands | 5 | 26 | 2 |
Latest update: 01 Apr 2025
