Mercurial > repos > ecology > pampa_presabs
view CalculatePresAbs.xml @ 0:c9dfe4e20a45 draft
"planemo upload for repository https://github.com/ColineRoyaux/PAMPA-Galaxy commit 07f1028cc764f920b1e6419c151f04ab4e3600fa"
author | ecology |
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date | Tue, 21 Jul 2020 05:59:49 -0400 |
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children | 5b45377f6a75 |
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<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>