MapSuite is an R package that streamlines the process for making maps of point, polygon, and raster data using the foundation of the ggplot2 graphics library. This paper describes a series of functions designed to facilitate mapping spatial data, from simple representations of the geometries to visualizing a variables over a series, such as time or data subgroup. Also described is how the outputs of these functions can be used to stack geospatial data layers, generating sophisticated maps in R that previously were relegated to lengthy code or desktop mapping software. This document details some of the package's features. Code can be found at <https://github.com/RebeccaStubbs/MapSuite>

A quick tutorial on how to sample your polygon data in a grid to get raster data, as well as a quick example for how to visualize your raster data using the Woodson library.

An example of bringing spatial data (shapefiles) into R, and doing a few basic operations manipulating their data and geometry.

This is a visual and instructional run-through of some of the features within the woodson libr0ry.

This walks through finding simple parameter estimates for distributions first in R, then in TMB. NOTE: This is a work in progress,

Merging tabular data onto spatial data in R can be fraught with peril. This is a simple example of how data attributes get assigned to the wrong geometry (scrambled) after a merge that re-orders the data attribute table.