Gap Analysis workshop - Crop Trust

This intensive two-week workshop is conducted in collaboration with Crop Trust as part of the BOLDER WP1 and PDFF projects. Its primary goal is to train participants in the use of R-based tools and methodologies for analyzing the conservation status of crop wild relatives and landraces, enabling precise prioritization of future collecting missions for genebanks.

Duration: November 4th – November 14th, 2025
Project: BOLDER WP1 & PDFF
Location: CIAT, Palmira Campus, Colombia
Focus: Hands-on R training, Spatial Analysis, Gap Score Calculation, and Collecting Planning

Agenda: Day-by-Day

The agenda is structured over two weeks, focusing on foundational skills in R and spatial analysis before moving into advanced Gap Analysis methodologies.

Agenda- workshop Cali 2025-Nov.xlsx

Resources & Community

All essential files, code, presentations, and communication channels are centralized here for easy access.

1. Training Materials (Google Drive) (Under construction!)

All presentations, data files, and supplementary documents are accessible via the main workshop folder .

Access Google Drive Folder

2. Tools and Open-Source Code Repository (GitHub)

Access the R scripts, R packages, and data used during the hands-on practice sessions for local use .

Access Tools and Repositories

3. Participant Forum (Google Group)

Use this dedicated forum for questions, troubleshooting code errors, discussion on methodologies, and networking with facilitators and fellow participants before, during, and after the workshop

Join Google Groups

Logistics and Preparation Guide

We highly recommend all participants join the dedicated WhatsApp Group for real-time announcements, quick questions, and coordination among fellow attendees and facilitators. Also please check the "full installation guide" to get all the logistic detalis as hotel, transportation, local recommendations, etc.

Whatsapp Group

Full Installation Guide

Participants must ensure the following are installed and functioning before Day 1:

A. Computer Requirements

Operating System: Windows 10 (minimum)
Memory (RAM): 8 GB of RAM at least
Storage: Enough space on disk
Permissions: You must have Administrative rights to install software

B. Software Installation Guide

I. Core Software

R Software: https://cran.r-project.org/bin/windows/base/
RStudio IDE: https://posit.co/downloads/
RTools: For Windows, follow the instruction here: https://cran.r-project.org/bin/windows/Rtools/rtools44/rtools.html
Java JDK: Required to run a Shiny app. Install the x64 Installer from: https://www.oracle.com/java/technologies/downloads/#jdk23-windows

II. Required R Packages

Please ensure the following packages are installed. Copy and paste these code lines in the R console.

install.packages("pacman")

library(pacman)

pacman::p_load(tidyverse,terra,sf,readxl,readr,writexl,geodata,tmap,leaflet,tidysdm,remotes)