R6 class for creating interactive map of health units.
map.Rd
R6 class for creating interactive map of health units.
R6 class for creating interactive map of health units.
Details
This R6 class is designed to store sf spatial data for GP practices, hospitals and health boards. This class is used to create a map with interactive pins of health centres.
Public fields
.sf
A sf spatial data.frame storing spatial data for health units.
.id
Character ID of object.
.title
Character title of object.
Methods
Method plot()
Plot map object.
Arguments
type
(character(1))
Character specifying plot type. Seeavailable_plots
for options....
Passed to plot functions.
Examples
x <- example_map_object()
x[["plot"]](type = "interactive_map")
Method plot_data()
Generate plot data for map object.
Arguments
type
(character(1))
Character specifying plot type. Seeavailable_plots
for options....
Passed to plot data functions.
Examples
x <- example_map_object()
x[["plot_data"]](type = "interactive_map")
Method plot_info()
Get plot infot for map object.
Arguments
type
(character(1))
Character specifying plot type. Seeavailable_plots
for options....
Passed to plot data functions.
Examples
x <- example_map_object()
x[["plot_info"]](type = "interactive_map")
Examples
x <- example_map_object()
x[["id"]]()
#> [1] "map"
x[["title"]]()
#> [1] "Interactive Map"
x[["sf"]]()
#> Simple feature collection with 18 features and 2 fields
#> Geometry type: GEOMETRY
#> Dimension: XY
#> Bounding box: xmin: -8.650007 ymin: 54.63321 xmax: -0.7251864 ymax: 60.86076
#> CRS: NA
#> # A tibble: 18 × 3
#> ID type geometry
#> * <chr> <chr> <GEOMETRY>
#> 1 10002 gp POINT (-3.065759 56.49556)
#> 2 10017 gp POINT (-3.84469 56.37021)
#> 3 A101H hospital POINT (-5.115637 55.54328)
#> 4 A201H hospital POINT (-4.593139 55.43402)
#> 5 S08000015 board MULTIPOLYGON (((-5.118354 55.25852, -5.106465 55.25166, -…
#> 6 S08000016 board MULTIPOLYGON (((-2.865102 55.1352, -2.876198 55.14205, -2…
#> 7 S08000017 board MULTIPOLYGON (((-4.084061 54.76898, -4.082476 54.76524, -…
#> 8 S08000019 board MULTIPOLYGON (((-4.309941 56.51536, -4.29726 56.47488, -4…
#> 9 S08000020 board MULTIPOLYGON (((-2.271474 56.83238, -2.271474 56.83175, -…
#> 10 S08000022 board MULTIPOLYGON (((-5.572492 55.28654, -5.564566 55.28156, -…
#> 11 S08000024 board MULTIPOLYGON (((-3.3874 56.00091, -3.388192 56.00154, -3.…
#> 12 S08000025 board MULTIPOLYGON (((-2.908693 58.67529, -2.911071 58.67343, -…
#> 13 S08000026 board MULTIPOLYGON (((-1.650105 59.508, -1.650898 59.50676, -1.…
#> 14 S08000028 board MULTIPOLYGON (((-7.644247 56.79002, -7.6173 56.78816, -7.…
#> 15 S08000029 board MULTIPOLYGON (((-3.302596 56.03143, -3.293878 56.02894, -…
#> 16 S08000030 board MULTIPOLYGON (((-2.850836 56.97251, -2.8334 56.97687, -2.…
#> 17 S08000031 board MULTIPOLYGON (((-4.499363 56.06133, -4.504911 56.06756, -…
#> 18 S08000032 board MULTIPOLYGON (((-4.019864 56.02832, -4.030167 56.00963, -…
x[["plot"]](type = "interactive_map")
x[["plot_data"]](type = "interactive_map")
#> Simple feature collection with 4 features and 2 fields
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: -5.115637 ymin: 55.43402 xmax: -3.065759 ymax: 56.49556
#> CRS: NA
#> # A tibble: 4 × 3
#> ID type geometry
#> <chr> <chr> <POINT>
#> 1 10002 gp (-3.065759 56.49556)
#> 2 10017 gp (-3.84469 56.37021)
#> 3 A101H hospital (-5.115637 55.54328)
#> 4 A201H hospital (-4.593139 55.43402)
x[["plot_info"]](type = "interactive_map")
#> [1] "The interactive map below can be used to visualise individual GP\n practice or hospital data sets"
## ------------------------------------------------
## Method `map$plot`
## ------------------------------------------------
x <- example_map_object()
x[["plot"]](type = "interactive_map")
## ------------------------------------------------
## Method `map$plot_data`
## ------------------------------------------------
x <- example_map_object()
x[["plot_data"]](type = "interactive_map")
#> Simple feature collection with 4 features and 2 fields
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: -5.115637 ymin: 55.43402 xmax: -3.065759 ymax: 56.49556
#> CRS: NA
#> # A tibble: 4 × 3
#> ID type geometry
#> <chr> <chr> <POINT>
#> 1 10002 gp (-3.065759 56.49556)
#> 2 10017 gp (-3.84469 56.37021)
#> 3 A101H hospital (-5.115637 55.54328)
#> 4 A201H hospital (-4.593139 55.43402)
## ------------------------------------------------
## Method `map$plot_info`
## ------------------------------------------------
x <- example_map_object()
x[["plot_info"]](type = "interactive_map")
#> [1] "The interactive map below can be used to visualise individual GP\n practice or hospital data sets"