Yones

Selecting appropriate machine learning methods for digital soil mapping

Khaledian, Y. and B.A. Miller. Selecting appropriate machine learning methods for digital soil mapping. Applied Mathematical Modelling 81: 401-418. doi: 10.1016/j.apm.2019.12.016. Read More

25 August 2022

Soil Sample Optimization for Field Scale Map (2018 EGU General Assembly)

Grid, random, and stratified sampling each come with unique advantages and disadvantages. However, more efficient sampling could be accomplished with a more strategic sampling design. Read More

15 April 2018

Geography of Loess in Iran (2016 INQUA LoessFest)

Loess is known to be widespread across the mid-latitudes of most continents, but it has not been as obvious to look for loess in Iran. Even though articles regarding loess sediments in Iran exist, global and regional maps typically indicate little to no loess within Iran Read More

10 October 2016