R functions for data analytics which I created for SANBI. The function analyzes GPS waypoints and tracks and estimates a field survey's efficiency. Part of the function also creates visual data summaries.
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| README FILE FOR SEADS R-PROJECT |
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|For any queries, contact [email protected]|
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To install SEADS (Survey Efficacy and Data Summary) as a package onto your personal
computer, follow the steps below:
1. Open 'SEADS.Rproj' (./src/SEADS.Rproj)
2. Open 'estimateSurveyQualtiy_template.R (./estimateSurveyQuality_template.R)
3. Open 'Files' tab in the window on the lower right panel, open the
and you should folder 'R' and you will see the R scripts which are in the src
folder.
4. Run rm(list = ls()) to ensure that your environment is empty.
5. Press 'ctrl+shift+B' to compile the SEADS package. This will import the
packages which SEADS requires and install the SEADS package to the R package
directory.
6. If you make any edits to the functions for your personal use, you must
recompile the SEADS package to enable the changes.
7. Once you have installed/updated the SEADS package, you can simply call the
SEADS package using library(SEADS).
8. Help for the functions developed for the SEADS package can be obtained via
the following calls:
help("importSurvey")
help("surveyDim")
help("plotSurvey")
help("surveyEfficacy")
help('dataSummary')
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The following folders are in the 'Estimating Survey Efficacy' directory:
1. GPS Data - contains cleaned tracks and waypoints
2. Historic Data - contains consolidated acacia data for all species
3. Output Figures and Data - tables from the R model are
automatically saved here. Figures are manually saved to this location
4. SEADS - the directory which contains the contents to compile the
SEADS package
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