Gap Analysis Hub: Tools and Training for Global Biodiversity conservation

Trainings

Find upcoming workshops and access materials from past events

Tools

Browse R frameworks, Shiny apps, and Map viewers

Publications

Explore the scientific foundations and key publications behind our gap analysis approach

Foundational Methodology & Research

Our gap analysis tools are built upon rigorous, peer-reviewed scientific frameworks developed in collaboration with leading global research institutions. Explore the core papers and supporting articles below.

A Gap Analysis Methodology for Collecting Crop Genepools: A Case Study with Phaseolus Beans

Khoury et al. (2020) - Diversity and Distributions. This paper defines the framework used to assess the conservation status of crop landraces

A gap analysis modelling framework to prioritize collecting for ex situ conservation of crop landraces

Maxted et al. (2012) - PLOS ONE. This foundational paper outlines the method for prioritizing collection missions for Crop Wild Relatives.

Our Analytical toolkit

We provide open-source tools—including R packages, interactive viewers, and Shiny applications—to operationalize gap analysis. These resources allow genebanks to run precise, repeatable analyses for collection prioritization.

Geographical Quality Score Dashboard

Assess and monitor the geographic quality of gene bank data records for targeted cleaning and improved analysis

Open-source code repositories

Gap analisys toolbox (shinyapp) https://github.com/CIAT-DAPA/gap_analysis_shinyapp/tree/dev
Geographical quality score https://github.com/alliance-datascience/genebank-general/tree/dev
Crop Wild Relatives Gap Analysis only: https://github.com/ccsosa/GapAnalysis
Crop Wild Relatives Gap Analysis + Species distribution model workflow: https://github.com/alliance-datascience/bolder-gapanalysis-cwr/tree/dev

App Viewer

Interactive Collecting Gap Viewer

This web-based tool provides a crucial first-look at the collection status of crop gene pools. It generates dynamic, high-resolution maps that indicate priority areas for collection missions based on species or genetic data. Also, you will be able to plan your routes based on the Google maps API