Soil Samping Design
About this training material
1
Introduction
1.1
Basic concepts of soil sampling
1.2
Soil Sampling for Mapping
1.3
Sampling strategies in this Technical Manual
1.4
How to use this manual
1.5
Training material
2
Setting-up the software environment
2.1
Use of R, RStudio and R Packages
2.1.1
Obtaining and installing R
2.1.2
Obtaining and installing RStudio
2.1.3
Getting started with R
2.2
R packages
2.3
GEE - google earth engine
Part one – Soil Legacy Data
3
Evaluating Soil Legacy Data Sampling for DSM
3.1
Data Preparation
3.2
Representativeness of the Legacy Soil Data
I Part two – Soil Sampling Design
4
Determining the minimum sampling size
5
Stratified Simple Random Sampling
5.1
General Procedure
5.1.1
Strata creation
5.2
Stratified random sampling
5.3
Stratified simple random sampling for large areas
5.4
Stratified simple regular sampling
5.5
Simple Random Sampling based on a stratified raster
6
Conditioned Latin Hypercube Sampling
6.1
cLHS Design
6.2
Including existing legacy data in a cLHS sampling design
6.3
Working with large raster data
6.4
Implementation of cost–constrained cLHS sampling
6.5
Replacement areas in cLHS design
Annex I: Compendium of R scripts
Script 1: Introduction to R
Script 2: Download environmental covariates
Script 3: Evaluate Legacy Data
Script 4: Calculate Minimum and Optimal Sample Sizes
Script 5: Stratified sampling on vector and raster data
Script 6: Conditional Latin Hypercube Sampling
References
Global Soil Partnership
Soil Sampling Design
References