sf was the main library that we worked with

It helped us deal with:

• Numerical Operations to calculate: Areas, Length, Distances, etc.
• GIS Logical Operations: Overlaps, Equals, Intersects, etc.
• Geometry Operations: Centroid, Buffer, Intersection, Union, Difference, etc.

• Accessing cell values - as a matrix or as a dataframe, extracting pixels to points
• Performing Raster algebra: raster arirthmentic and logic
• Changing the resolution and extent: cropping, mosaicing, resampling, and reprojecting
• Transforming Rasters: to points and polygons

• ggplot2 is the library that allows to visualize data analysis results, but also to make maps

• leaflet is a library that allows us to make interactive maps

• mapview is a wrapper around leaflet automating the addition of: labels, popups, color scales, and common basemaps

Tasks for the Project:

• acquire data either from the course materials or from external sources

• employ at least five GIS procedures in R such as: st_join, st_centroid, st_area, st_distance, st_buffer, st_voronoi, st_union, st_combine, st_cast, st_intersection, st_difference, dplyr for vector layer aggregation, st_crop, st_rasterize, raster::aggregate, etc.

Produce some descriptive visualizations (maps, barplots, scatterplots, boxplots) that tell the same story AND make a Github website (for data, you can explore https://ourworldindata.org)

• craft a well-structured two-page report (approx. 1500 words) containing an intro to the problem, objectives, data sources, methodology, results, and conclusion

• well-documented appendix (with comments and hashtags) with the R code for the GIS procedures.

Presentations should be 15 minutes.

Rehearse at least twice at home

Focus your presentation on the story

• Organization

• Clarity of Expression

• Engagement with Audience

• Visual Aids

• Time Management