Mercurial > repos > ecology > pampa_presabs
diff CalculatePresAbs.xml @ 0:c9dfe4e20a45 draft
"planemo upload for repository https://github.com/ColineRoyaux/PAMPA-Galaxy commit 07f1028cc764f920b1e6419c151f04ab4e3600fa"
author | ecology |
---|---|
date | Tue, 21 Jul 2020 05:59:49 -0400 |
parents | |
children | 5b45377f6a75 |
line wrap: on
line diff
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/CalculatePresAbs.xml Tue Jul 21 05:59:49 2020 -0400 @@ -0,0 +1,83 @@ +<tool id="pampa_presabs" name="Calculate presence absence table" version="@VERSION@"> + <description>calculate presence absence table from observation data</description> + <macros> + <import>pampa_macros.xml</import> + </macros> + <expand macro="Pampa_requirements"/> + <command detect_errors="exit_code"><![CDATA[ + Rscript + '$__tool_directory__/FunctExeCalcPresAbsGalaxy.r' + '$input' + '$__tool_directory__/FunctPAMPAGalaxy.r' + '$output_presabs' + ]]> + </command> + <inputs> + <expand macro="pampa_input_calculate"/> + </inputs> + <outputs> + <data name="output_presabs" from_work_dir="TabPresAbs.tabular" format="tabular"/> + </outputs> + <tests> + <test> + <param name="input" value="ObservationsSansszcl_cropped.tabular"/> + <output name="output_presabs" value="Presence_absence_table_sansszcl_cropped.tabular"/> + </test> + </tests> + <help><![CDATA[ +==================================================== +Calculate presence absence table from abundance data +==================================================== + +**What it does** + +This tool from PAMPA toolsuite computes an abundance (max and standard deviation if SVR data) and presence absence table at finest aggregation possible from observation data + +| + +**Input description** + +A tabular file with observation data. Must at least contain three columns 'observation.unit' +which associate year and location or 'year' and 'location', 'species.code' with species ID and 'number' for abundance. + ++------------------+--------------+------------+ +| observation.unit | species.code | number | ++==================+==============+============+ +| site_yearID | speciesID | 4 | ++------------------+--------------+------------+ +| ... | ... | ... | ++------------------+--------------+------------+ + +OR + ++------+----------+--------------+------------+ +| year | location | species.code | number | ++======+==========+==============+============+ +| 2000 |locationID| speciesID | 4 | ++------+----------+--------------+------------+ +| ... | ... | ... | ... | ++------+----------+--------------+------------+ + +The data frame may also contain: + +- 'size.class' field with 'G' representing big individuals in given species, 'M'middle-sized individuals and 'P' small individuals +- 'rotation' field for STAVIRO data + +| + +**Output** + + +A tabular file with presence/absence at finest aggregation available (per observation unit per species OR per observation unit per species per size class) + + +| + +**Source** + +Derived from PAMPA scripts (https://wwz.ifremer.fr/pampa/Meth.-Outils/Outils) written by Yves Reecht. + + ]]></help> + + <expand macro="pampa_bibref" /> +</tool>