Published November 1, 2022
| Version v1
Software
Open
Complex drivers of riparian soil oxygen variability revealed using self-organizing maps: relevant R codes for data analysis and visualization
Authors/Creators
- 1. Virgin Islands EPSCoR, St. Croix, USVI
- 2. Civil & Environmental Engineering, University of Vermont, Burlington, VT, USA
- 3. Department of Geology, University of Vermont, Burlington, VT, USA
- 4. Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, Vermont, USA
Description
R scripts that were used to perform a Self-Organizing Map analysis on high-frequency soil sensor data to assess the relationship between soil moisture and soil oxygen in riparian areas.
Files
Files
(45.1 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:32607fa91b28842fdc9a1df02a4b7a4e
|
7.7 kB | Download |
|
md5:ee565e53f4d627d0a41130675d701ea8
|
4.0 kB | Download |
|
md5:caea5655a0bb3a40b08a912c9af7d3c6
|
2.4 kB | Download |
|
md5:b590929dea84e05d998498449542087a
|
11.7 kB | Download |
|
md5:42c5f6336a730bcb2667cbae5f05e39c
|
3.0 kB | Download |
|
md5:5c383b6cab38aa9fae46e7d169fc97b2
|
983 Bytes | Download |
|
md5:071cdc73878a41a9460845b6bde51e9e
|
2.3 kB | Download |
|
md5:d0a3a001084d8740d779dd20e8b301c4
|
1.4 kB | Download |
|
md5:b40404b7908bbbc1d68bdb74f627b5c4
|
11.7 kB | Download |