Workshop on Spatial Data Basics

Location is key! From navigating around town with Google Maps to determining the impact of humans on climate change spatial data is all around us. At the intersection of Geographic Information Systems (GIS) and R Statistical Programming Language, this workshop will review the basics of spatial data from generating a shapefile to modelling spatial patterns.

Our speaker is Mary Lennon, an R-Ladies Member and GIS specialist. With over 6 years of industry experience, she has worked on projects including Oil and Gas Pipelines and highway expansions. In her work, she oversees engineering data storage solutions, quality assurance procedures, and both descriptive and predictive analytics for large data intensive projects.

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Note from the presenter:
As promised, data is available to download in advance as is the code at the following url: https://github.com/MaryELennon/RLadies_Spatial . The code will be up there later but you should have no issues accessing that during the workshop. There are 2-3 more packages that I am asking you to install in advance if you have time, no worries if you don't!

The full list of packages you will need is here:
install.packages("sp", "rgdal", "rgeos", "tidyverse", "raster", "tmap", "tmaptools", "leaflet", "RColorBrewer", and "spgwr")