Downloads worldwide coastlines
Usage
gisco_get_coastallines(
year = "2016",
epsg = "4326",
cache = TRUE,
update_cache = FALSE,
cache_dir = NULL,
verbose = FALSE,
resolution = "20"
)Arguments
- year
Release year. One of
"2006","2010","2013"or"2016".- epsg
projection of the map: 4-digit EPSG code. One of:
"4258": ETRS89"4326": WGS84"3035": ETRS89 / ETRS-LAEA"3857": Pseudo-Mercator
- cache
A logical whether to do caching. Default is
TRUE. See About caching.- update_cache
A logical whether to update cache. Default is
FALSE. When set toTRUEit would force a fresh download of the source.geojsonfile.- cache_dir
A path to a cache directory. See About caching.
- verbose
Logical, displays information. Useful for debugging, default is
FALSE.- resolution
Resolution of the geospatial data. One of
"60": 1:60million"20": 1:20million"10": 1:10million"03": 1:3million"01": 1:1million
Value
A sf POLYGON object.
Note
Please check the download and usage provisions on gisco_attributions().
About caching
You can set your cache_dir with gisco_set_cache_dir().
Sometimes cached files may be corrupt. On that case, try re-downloading
the data setting update_cache = TRUE.
If you experience any problem on download, try to download the
corresponding .geojson file by any other method and save it on your
cache_dir. Use the option verbose = TRUE for debugging the API query.
For a complete list of files available check gisco_db.
Examples
coast <- gisco_get_coastallines()
library(ggplot2)
ggplot(coast) +
geom_sf(color = "#1278AB", fill = "#FDFBEA") +
# Zoom on Caribe
coord_sf(
xlim = c(-99, -49),
ylim = c(4, 30)
) +
theme_minimal() +
theme(
panel.background = element_rect(fill = "#C7E7FB", color = NA),
panel.border = element_rect(colour = "black", fill = NA)
)
