Continuing on my work with the underlying structure and logic of Soil Taxonomy, I have created another derivative of my text-mined database.
This Shiny app shows all taxa that precede the specified taxon in the classification "sequence" specified by the Keys to Soil Taxonomy.
Here is a basic Shiny app interface to a new database I developed from performing text mining analyses on the Keys to Soil Taxonomy (12th edition). This is alpha version of the "KSTLookup" Shiny app -- a new tool for viewing criteria associated with taxa at the subgroup to order level in U.S. Soil Taxonomy.
This is a demonstration of how to plot water level data from the Henry Mount Soil Climate database with precipitation data from nearest NOAA weather station.
It shows use of two new experimental soilDB-type functions for the NOAA API
get_NOAA_stations_nearXY()- find all stations near a specified lat/lng and bounding box (limit 1000)
get_NOAA_GHCND_by_stationyear()- get GHCND data (daily summaries) by station ID and year (limit 1000)
Note that using the NOAA API requires an API token specified as argument to above two functions. A token can be obtained for free at the following link: https://www.ncdc.noaa.gov/cdo-web/token
Based on fetchHenry/fetchSCAN "Water Level and Precipitation" demo by Dylan E. Beaudette (http://ncss-tech.github.io/AQP/soilDB/Henry-demo.html)
New CRAN release for Algorithms for Quantitative Pedology -- 1.19
aqp 1.19 (2020-01-22)