From 4ba179a6adf0f7c56395ab6101c947880e855d29 Mon Sep 17 00:00:00 2001 From: dylanbeaudette Date: Wed, 17 Apr 2024 20:29:17 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20ncss-tec?= =?UTF-8?q?h/aqp@82e215cbd67c23f3d99f1d36d7a49b64af0940cf=20=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- articles/Munsell-color-conversion.html | 2 +- index.html | 4 ++-- pkgdown.yml | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/articles/Munsell-color-conversion.html b/articles/Munsell-color-conversion.html index 8bedaf8c..fa6625df 100644 --- a/articles/Munsell-color-conversion.html +++ b/articles/Munsell-color-conversion.html @@ -158,7 +158,7 @@

Special CasesgetClosestMunsellChip(). A more accurate conversion -can be performed with the munsellinterpol +can be performed with the munsellinterpol package..

diff --git a/index.html b/index.html index 182bd515..13e4ed7f 100644 --- a/index.html +++ b/index.html @@ -12,7 +12,7 @@ - +

aqp hexsticker (Paxton, Montauk, Woodbridge, Ridgebury, Whitman, Catden soil series dendogram)

-

The Algorithms for Quantitative Pedology (AQP) project was started in 2009 to organize a loosely-related set of concepts and source code on the topic of soil profile visualization, aggregation, and classification into this package (aqp). Over the past 8 years, the project has grown into a suite of related R packages that enhance and simplify the quantitative analysis of soil profile data. Central to the AQP project is a new vocabulary of specialized functions and data structures that can accommodate the inherent complexity of soil profile information; freeing the scientist to focus on ideas rather than boilerplate data processing tasks doi:10.1016/j.cageo.2012.10.020. These functions and data structures have been extensively tested and documented, applied to projects involving hundreds of thousands of soil profiles, and deeply integrated into widely used tools such as SoilWeb https://casoilresource.lawr.ucdavis.edu/soilweb-apps/. Components of the AQP project (aqp, soilDB, sharpshootR, soilReports packages) serve an important role in routine data analysis within the USDA-NRCS Soil Science Division. The AQP suite of R packages offer a convenient platform for bridging the gap between pedometric theory and practice.

+

The Algorithms for Quantitative Pedology (AQP) project was started in 2009 to organize a loosely-related set of concepts and source code on the topic of soil profile visualization, aggregation, and classification into this package (aqp). Over the past 8 years, the project has grown into a suite of related R packages that enhance and simplify the quantitative analysis of soil profile data. Central to the AQP project is a new vocabulary of specialized functions and data structures that can accommodate the inherent complexity of soil profile information; freeing the scientist to focus on ideas rather than boilerplate data processing tasks doi:10.1016/j.cageo.2012.10.020. These functions and data structures have been extensively tested and documented, applied to projects involving hundreds of thousands of soil profiles, and deeply integrated into widely used tools such as SoilWeb https://casoilresource.lawr.ucdavis.edu/soilweb-apps. Components of the AQP project (aqp, soilDB, sharpshootR, soilReports packages) serve an important role in routine data analysis within the USDA-NRCS Soil Science Division. The AQP suite of R packages offer a convenient platform for bridging the gap between pedometric theory and practice.

Installation

diff --git a/pkgdown.yml b/pkgdown.yml index 2fe52d01..35343ba7 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -9,5 +9,5 @@ articles: Munsell-color-conversion: Munsell-color-conversion.html NCSP: NCSP.html new-in-aqp-2: new-in-aqp-2.html -last_built: 2024-04-17T19:16Z +last_built: 2024-04-17T20:26Z