# simplevis: making leaflet sf maps

**David Hodge**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

### Introduction

In addition to `gglot2`

wrapper functions, `simplevis`

also provides `leaflet`

wrapper functions as a bonus.

The way these functions have been designed is to follow the logic of the `ggplot2`

wrapper functions.

library(simplevis) library(dplyr) library(palmerpenguins)

### sf objects

The `sf`

package makes it easy to work with vector data (e.g. points, lines or polygons).

sf objects have a list column called `geometry`

on the end of the dataset, as well as some meta data describing the coordinate reference system etc.

example_sf_point #> Simple feature collection with 112 features and 3 fields #> Geometry type: POINT #> Dimension: XY #> Bounding box: xmin: 1175354 ymin: 4853914 xmax: 2025939 ymax: 6096100 #> Projected CRS: NZGD2000 / New Zealand Transverse Mercator 2000 #> First 10 features: #> site_id median trend_category geometry #> 1 ARC-00001 0.0140 Improving POINT (1735609 5916179) #> 2 ARC-00008 0.0610 Improving POINT (1753479 5976281) #> 3 ARC-00013 0.1310 Improving POINT (1742066 5915382) #> 4 ARC-00014 0.9900 Improving POINT (1764285 5907017) #> 5 ARC-00015 1.0300 Improving POINT (1767401 5907336) #> 6 ARC-00016 0.2980 Improving POINT (1768314 5908177) #> 7 ARC-00017 0.3550 Improving POINT (1751305 5933319) #> 8 ARC-00018 0.7350 Indeterminate POINT (1769952 5912814) #> 9 ARC-00019 0.5000 Improving POINT (1769452 5910614) #> 10 ARC-00026 0.1295 Improving POINT (1748608 5953465)

### simplevis ggplot wrappers

Note that to create `sf`

`ggplot2`

maps with `simplevis`

:

- Data must be an
`sf`

object - Data must be of
`POINT`

/`MULTIPOINT`

,`LINESTRING`

/`MULTILINESTRING`

, or`POLYGON`

/`MULTIPOLYGON`

geometry type - Data must have a coordinate reference system (CRS) defined
- No
`x_var`

and`y_var`

variables are required

gg_sf_col(example_sf_point, col_var = trend_category, borders = nz)

These maps can be facetted or made interactive in the same way as other `ggplot2`

objects with `plotly::ggplotly`

.

The borders argument is any sf object of any sort of administrative or natural contextial borders and boundaries that you would like for your map. In the example above, a New Zealand coastline sf object has been provided to the `borders`

argument.

### simplevis leaflet wrappers

The `simplevis`

leaflet wrappers largely work in exactly the same way.

leaflet_sf_col(example_sf_point, col_var = median, col_method = "quantile", col_cuts = seq(0, 1, 0.25), title = "Monitored medians, 2008-17")

leaflet_sf_col(example_sf_polygon, density, col_method = "bin", col_cuts = c(0, 10, 50, 100, 150, 200, Inf), title = "Modelled density, 2017")