Just released an updated version of our 'aqp' package for quantitative soils investigations, available on CRAN and R-Forge. Some of the major changes are listed below: from the aqp NEWS file: -------------------------- aqp 0.98-1 (2010-11-23) --------...
Blog Archives
A Visualization of Soil Taxonomy Down to the Subgroup Level
It turns out that you can generate a quasi-numerical distance between soil profiles classified according to Soil Taxonomy (or any other hierarchical system) using Gower's generalized dissimilarity metric. For example, taxonomic distances computed from ...
More AQP (algorithms for quantitative pedology) Examples
The aqp package can be downloaded from R-Forge. read more
AQP Examples: Profile Visualization
Two examples of the output from the profile_plot() function, using data from the Sierra Foothill Region, CA. read more
Soil Properties Visualized on a 1km Grid
Fresno Area Urban Areas vs Irrigated LCC: grey regions are current urban areas A couple of maps generated from a 1km gridded soil property database, derived from SSURGO data where available with holes filled with STATSGO data. Soil properties visualize...
GRASS Can Make Pretty Maps
I have posted a couple examples in the past on the topic of high quality map production from GRASS GIS-- usually via the Generic Mapping Tools. I am not sure why, but I have previously avoided using the traditional cartographic output module that is bu...
What would a 25th, 50th, and 75th percentile soil profile look like?
I have mentioned the AQP package in previous entries. One of the functions in this package generates aggregate soil profile data, from a collection of soil profiles that are related by some factor: common lithology, common landscape position, and so on...
Just for Fun: Using R to Create Targets
OK, not really science or soil-related, but a fun 5 minute use of R to make something you can use to improve your hand-eye coordination. read more
New R Package ‘aqp’: Algorithms for Quantitative Pedology [updates]
![New R Package ‘aqp’: Algorithms for Quantitative Pedology [updates]](http://www.r-bloggers.com/wp-content/uploads/2010/08/dend_with_profiles.png)
Soils are routinely sampled and characterized according to genetic horizons (layers), resulting in data that are associated with principal dimensions: location (x,y), depth (z), and property space (p). The high dimensionality and grouped nature...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
