mdim {stars} | R Documentation |
Read or write data using GDAL's multidimensional array API
Description
Read or write data using GDAL's multidimensional array API
Usage
read_mdim(
filename,
variable = character(0),
...,
options = character(0),
raster = NULL,
offset = integer(0),
count = integer(0),
step = integer(0),
proxy = FALSE,
debug = FALSE,
bounds = TRUE,
curvilinear = NA
)
write_mdim(
x,
filename,
driver = detect.driver(filename),
...,
root_group_options = character(0),
options = character(0),
as_float = TRUE
)
Arguments
filename |
name of the source or destination file or data source |
variable |
name of the array to be read; if '"?"', a list of array names is returned, with group name as list element names. |
... |
ignored |
options |
character; driver specific options regarding the opening (read_mdim) or creation (write_mdim) of the dataset |
raster |
names of the raster variables (default: first two dimensions) |
offset |
integer; offset for each dimension (pixels) of sub-array to read, defaults to 0 for each dimension(requires sf >= 1.0-9) |
count |
integer; size for each dimension (pixels) of sub-array to read (default: read all); a value of NA will read the corresponding dimension entirely; counts are relative to the step size (requires sf >= 1.0-9) |
step |
integer; step size for each dimension (pixels) of sub-array to read; defaults to 1 for each dimension (requires sf >= 1.0-9) |
proxy |
logical; return proxy object? (not functional yet) |
debug |
logical; print debug info? |
bounds |
logical or character: if |
curvilinear |
control reading curvilinear (geolocation) coordinate arrays; if |
x |
stars object |
driver |
character; driver name |
root_group_options |
character; driver specific options regarding the creation of the root group |
as_float |
logical; if |
Details
it is assumed that the first two dimensions are easting and northing
See Also
gdal_utils, in particular util mdiminfo
to query properties of a file or data source containing arrays
Examples
set.seed(135)
m = matrix(runif(10), 2, 5)
names(dim(m)) = c("stations", "time")
times = as.Date("2022-05-01") + 1:5
pts = st_as_sfc(c("POINT(0 1)", "POINT(3 5)"))
s = st_as_stars(list(Precipitation = m)) |>
st_set_dimensions(1, values = pts) |>
st_set_dimensions(2, values = times)
nc = tempfile(fileext=".nc")
if (compareVersion(sf_extSoftVersion()["GDAL"], "3.4.0") > -1) {
write_mdim(s, nc)
# try ncdump on the generated file
print(read_mdim(nc))
}