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Help for SESYNC Researchers & Teams
Extend your pipeline with RMarkdown and Shiny.
Generate the Docker image for a SESYNC training event.
Start learning Python with Pandas and Scikit-learn.
Manipulate geospatial data with open source tools.
Learn to use git with GitHub.
Acquire data from websites and APIs.
Write formulas for regression in R and Stan.
Fill in the blanks.
Get your data in shape with tidyr & dplyr.
Craft publication-quality graphics with ggplot2.
Start learning R in RStudio.
Provide Jekyll configuration and CSS for SESYNC-ci/*-lesson GitHub pages.
Hands-on training courses administered by SESYNC
Tour R packages that make static and interactive maps.
Perform version control from the command line.
Use spatial data in NetLogo ABMs.
Control agent-based model simulations from R.
Implement open agent-based models.
Build agent-based models with a simple graphical interface.
Data products from Trade and Food Security Venture
Get your data in shape with dplyr.
For Shiny Apps at shiny.sesync.org
Make interactive maps in R using the leaflet package
Access Land Data Assimilation System models with OPeNDAP.
Efficiently analyze raster upon raster.