stats_for_soil_survey

Course Content

Please access the web-based course content at the ncss-tech.github.io link:

http://ncss-tech.github.io/stats_for_soil_survey/chapters/

Logistics

Part 1

CST	Tuesday	Wednesday	Thursday	Friday
10:00-11:00	Introduction	Review Homework / Questions	EDA	Sampling
11:00-12:00	Tabular Data	Spatial Data	EDA	Final Project
12:00-13:00	Lunch	Lunch	Lunch	Lunch
13:00-14:00	Tabular Data	Spatial Data	Sampling	Open
14:00-15:00	Homework/Self-Study	EDA	Sampling	Open

Instructors

• Philip Roberts: Introduction
• Jay Skovlin: Tabular Data
• Dylan Beaudette: Tabular Data / Spatial Data
• Stephen Roecker: EDA
• John Hammerly: EDA
• Andrew Brown: Tabular Homework / EDA
• Skye Wills: Sampling

Part 2

TBD

NCSS-Tech Resources

• DRAFT - R Reference Card for Soil Scientists

• Algorithms for Quantitative Pedology - project homepage

• aqp package manual

• soilDB package manual

• sharpshootR package manual

• VIDEO: Intoduction to R (NRCS Webinar)

External Resources

• Quick-R - online resource for R-related topics

• simpleR - Using R for Intro. Statistics

• Markdown Cheatsheet - syntax for formatting .Rmd and .md files

• Rspatial.org - spatial data science with R

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