heat_map_continuous: Create a heat map of Chicago with continuous shading.
In dmwelgus/MapChi: Tools for making maps of Chicago

Description Usage Arguments Value Examples

Create a heat map of Chicago with continuous shading.

heat_map_continuous(regions, summary_df, regions_var, fill_var, legend_name,
  palette = NULL, low_color = "#fff5eb", high_color = "#7f2704",
  na_replace = NA, lines = "black", title = NULL, title_size = 15,
  region_labels = FALSE)

`regions`	The type of region to plot. Options include: "CAs", "tracts," "districts," and "zips."
`summary_df`	A data frame with summary statistics by region. Should have one row for each region.
`regions_var`	The variable in summary_df that identifies the region. For example, if type = "CAs" a common summary_var would be "Community.Areas." In general, regions_var should be numeric (e.g. use community area numbers, not names.).
`fill_var`	The variable that determines color. For example, if the map shows homicides by police district, the fill_var would be the field that contains homicide totals.
`legend_name`	Self Explanatory. Should be a character vector of length one.
`palette`	The color palette. Current options are: green, blue, red, organge, and purple.
`low_color`	If palette is set to NULL, the low end of the color range you want to use.
`high_color`	The high end of your color range
`na_replace`	What value should replace NAs in the fill_var. This arises most commonly in maps of homicides, where regions with zero homicides are sometimes missing from df.y.
`lines`	Color of border lines. Default is black.
`title`	Title.
`title_size`	Title size.
`region_labels`	Option to add labels for CAs or districts. Default is false

A map of Chicago. More specifically, an object of type "ggplot."

data(hom_14)

# Create summary table
hom_sum <- dplyr::summarise(group_by(hom_14, District), homicides = n())

h_map <- heat_map_continuous(type = "districts", summary_df = hom_sum, regions_var = "District",
                             fill_var = "homicides", legend_name = "Homicides",
                             na_replace = 0)