|
Project properties |
|
| Title | Uncertain data: Probability distribution of soil properties in selected regions of the United States |
| Group | Soil Geography and Landscape |
| Project type | thesis |
| Credits | 36 |
| Supervisor(s) | Cynthia van Leeuwen (SGL WUR / ISRIC) and Titia Mulder (SGL WUR) |
| Examiner(s) | Titia Mulder |
| Contact info | cynthia.vanleeuwen@wur.nl |
| Begin date | 2020/09/01 |
| End date | |
| Description | Information on the probability distribution and variability of soil properties in a region can help to gain understanding of the soil’s current state. Generally, the normal distribution is adopted to represent possible values of soil properties in a certain area. However, this distribution is not always suitable and can lead to erroneous conclusions about the soil characteristics in a certain region. Other distributions, such as the gamma or lognormal distribution, might capture the distribution of a soil property better. In this project, you will explore which distribution, and related shape parameters, can be used best to represent a soil property in selected regions of the United States. |
| Used skills | Statistics, (open source) GIS and R scripting |
| Requirements | |