This project is under active development, please expect frequent and potential significant changes between now and the planned release in 2026
The Gap Analysis and Meta Collection Management (GAMMA) tool aims to
- Provide an open access portal with a user-friendly interface that lowers the technical bar for accessing and visualizing on a map the metacollection of a given plant species.
The GAMMA tool will reach this aim by
- Allowing users to upload thier own species occurrance data (Note: no uploaded data will persist in the system)
- Query and input species occurrance data from online repositories (GBIF, PlantSearch)
- View all the these occurrences on a map and remove or flag errorous records
- Generate a geographic Gap Analysis to visualize and quantify gap in the meta collection of a species
- Export the tabular data, a map, and a summary report of the gap analysis results.
- May 2024 : initial testing of a minimum viable product at a partner meeting
- Fall 2024 to Summer 2025 : Continue development by the core product team
- Summer 2025 : Full product testing with multiple end users at a in person training event
- Fall and Winter 2025 : Integration of feedback from in person training event
- Spring 2026 : Release of the stable version of the application at a in person traning event
gap-analysis-shiny-app (*name will change )
├── 0_preprocessingData.R : script for preparing any raw input required by the application
├── appData : folder containing datasets required by the application
├── appFunctions : folder containing functions used within the application
├── app.R : script for defining the application
├── dataToPreProcess : folder containing raw data sets called by the 0_preprocessingData.R file
├── preprocessingFunctions : *folder containing functions used by the 0_preprocessingData.R file *
├── README.md : script for preparing any raw input required by the application
├── shinyModules : folder containing modules used within the shiny application
├── utilities : folder containing helper functions that may be used in both the preprocessing and shiny application
|── www : folder containing css and image files
A hosted version of this application can be found [here]enter URL when it exists
To run locally.
- Download or clone this repo.
- open the
.Rproj
file - run the
0_preprocessingData.R
script - call the
app.R
file or run via the rstudio interface
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