bcmaps
is an R package of spatial map layers for British Columbia.
bcmaps
provides access to various spatial layers of British Columbia, such as
administrative boundaries, natural resource management boundaries, watercourses, census boundaries, etc. All layers are available as sf
objects in the
BC Albers projection, which is the B.C. Government standard.
Most layers are accessed directly from the B.C. Data Catalogue using the bcdata R package under the hood. See each layer's individual help file for more detail.
IMPORTANT NOTE Support for Spatial objects (
sp
) was removed in {bcmaps} v1.3.0. Please usesf
objects with {bcmaps}. A discussion on the evolution of the spatial software stack in R can be found here: https://r-spatial.org/r/2022/04/12/evolution.html.
To see the layers that are available, run the available_layers()
function:
library(bcmaps) available_layers()
Most layers are accessible by a shortcut function by the same name as the object.
Then you can use the data as you would any sf
object. The first time
you try to access a layer, you will be prompted for permission to download that layer
to your hard drive. Subsequently that layer is available locally for easy future access. For example:
library(sf) bc <- bc_bound() plot(st_geometry(bc))
There are two British Columbia boundary map layers available in bcmaps
:
bc_bound()
for fast plotting with suitable detail for most figures (source: (7.5M) Provinces and States - The Atlas of Canada Base Maps for BC)bc_bound_hres()
for geospatial analyses requiring detailed lineworks of British Columbia (source: Province of British Columbia - Boundary Terrestrial)By default, all layers are returned as sf
spatial objects:
library(bcmaps) library(sf) # Load and plot the boundaries of B.C. bc <- bc_bound() plot(st_geometry(bc)) ## Next load the Regional Districts data, then extract and plot the Kootenays rd <- regional_districts() kootenays <- rd[rd$ADMIN_AREA_NAME == "Regional District of Central Kootenay", ] plot(st_geometry(kootenays), col = "lightseagreen", add = TRUE)
The cded_raster
and cded_stars
functions return the 1:250,000 digital elevation model for British Columbia bounded by some area of interest. Here we are retrieving the area bounded by the Logan Lake census subdivision:
library(raster) aoi <- census_subdivision()[census_subdivision()$CENSUS_SUBDIVISION_NAME == "Logan Lake", ] aoi_raster <- cded_raster(aoi) plot(aoi_raster)
A handy layer for creating maps for display is the bc_neighbours
layer, accessible with the function by the same name. This example also illustrates using the popular ggplot2 package to plot maps in R using geom_sf
and the bc_cities()
function available in bcmaps
:
library(ggplot2) ggplot() + geom_sf(data = bc_neighbours(), mapping = aes(fill = name)) + geom_sf(data = bc_cities()) + coord_sf(datum = NA) + scale_fill_viridis_d(name = "Jurisdiction") + theme_minimal()
As of version 0.15.0 the B.C. BEC (Biogeoclimatic Ecosystem Classification) map
is available via the bec()
function, and an accompanying function bec_colours()
function to colour it:
bec <- bec() library(ggplot2) bec_sub <- bec[bec$ZONE %in% c("BG", "PP"),] ggplot() + geom_sf(data = bec_sub, aes(fill = ZONE, col = ZONE)) + scale_fill_manual(values = bec_colors()) + scale_colour_manual(values = bec_colours())
When you first call a layer function bcmaps
will remind you when that layer was last updated in your cache with a message. For a number of reasons, it might be necessary to get a fresh layer in your bcmaps
cache. The easiest way to update is to use the force
argument:
ep <- ecoprovinces(force = TRUE)
Another option is to actively manage your cache by deleting the old layer and calling the function again:
show_cached_files() delete_cache('ecoprovinces') ep <- ecoprovinces()
The package also contains a few handy utility functions:
transform_bc_albers()
for transforming any sf
object to
BC Albers projectionbc_area()
to get the total area of British Columbia in various unitsbc_bbox()
to get an extend/bounding box for British ColumbiaAny scripts or data that you put into this service are public.
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