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geom_spatraster_*:
mask_projection. When set to TRUE avoid
SpatRaster to wrapping around on some projections (see #115
and #169, by @dramanica).ggplot2::facet_wrap() in combination with
coord_sf() (or with implicit change of CRS due to other
sf/Spat* objects).1.8-10.terra::combineLevels()
(terra >= 1.8-10). See https://stackoverflow.com/questions/79340152.scales that uses limits truncate the legend when
limits parameter is provided (#165 @Fan-iX). Scales
impacted:
scale_*_cross_blended_tint_c and
scale_*_cross_blended_tint_b.scale_*_hypso_tint_c and
scale_*_hypso_tint_b.scale_*_grass_c and scale_*_grass_b.geom_spatraster() (and overall pivoting of
SpatRaster is less strict with different layer classes: if
several layers can be defined as numeric (i.e. double,
integer and numeric) the pivoting (and
therefore the plot) can be performed. This is consistent with
tidyr::pivot_longer() behavior (https://stackoverflow.com/questions/79292989).SpatGraticule (see
terra::graticule()) #155.geom_spatraster_rgb():
stretch and zlim. See
terra::plotRGB() for clarification.geom_spatraster() suggests
geom_spatraster_rgb() when a SpatRaster with
RGB specification is detected (terra::has.RGB() is
TRUE)grass_db and scale_fill_grass_c() family.
This is an implementation of terra::map.pal(), that is the
default palette for terra::plot()
(> 1.7.78).autoplot.SpatRaster() now uses also
grass_db as the default palette.scale_fill_princess_c() scale family.SpatVector objects:
pivot_longer.SpatVector() and
pivot_wider.SpatVector().fill.SpatVector().geom_spatraster_contour_text() implemented on
top of isoband::isolines_grob() glimpse.SpatRaster() and
glimpse.SpatVector() now displays information using
?tibble::print.tbl_df approach for the header and the
footer. The body is still displayed transposed as of
dplyr::glimpse(). See
pillar::tbl_format_header() and
pillar::tbl_format_footer() for examples.as_sf() converts a SpatVector to a
sf object with an additional tbl_df class for
pretty printing.fortify.SpatRaster() gains a new argument
pivot that allows better integration with other
ggplot2 geoms when pivoting. This is a wrapper of
tidyr::pivot_longer().asia.tif.as_sf() (#124).tidyterra has been accepted on JOSS. Please use the
result of citation("tidyterra") or the following
string:
Hernangómez, D. (2023). “Using the tidyverse with terra objects: the tidyterra package.” Journal of Open Source Software, 8(91), 5751. ISSN 2475-9066, https://doi.org/10.21105/joss.05751
Other changes on this version:
SpatRaster objects with a color table
autoplot.SpatRaster() can detect now
SpatRaster objects with color tables.geom_spatraster() can detect now
SpatRaster objects with color tables.SpatRaster objects with color
tables: scale_fill_coltab() and rest of family scales
(colour).coltab of a
SpatRaster.na.translate = FALSE.na.value = "transparent" (#120).glimpse.Spat() with meta-information on type
of geometry, crs, etc.SpatVector objects. The
improvements have been:
SpatVector:
glimpse.SpatVector()arrange.SpatVector()distinct.SpatVector()inner_join.SpatVector(),
left_join.SpatVector(),
right_join.SpatVector() and
full_join.SpatVector()semi_join.SpatVector() and
anti_join.SpatVector()summarise.SpatVector()rowwise.SpatVector()group_by.SpatVector(),ungroup.SpatVector()count.SpatVector(),
tally.SpatVector()bind_spat_cols(), bind_spat_rows()dplyr::group_by().sf::st_as_sf() coercion. In fact coercion between object
classes is avoided as much as possible.glimpse.SpatRaster() method for
SpatRaster.as_spatvector()as_sf()is_grouped_spatvector()pull_crs() that returned "NA"
on sf objects with any field equal to NA
(#74).scales_* (#73) .autoplot.SpatVector(),
autoplot.SpatRaster().
autoplot.SpatRaster() now is smarter on identifying the
type of plot to produce. Can still be overridden with parameters.SpatRaster and
SpatVector objects: fortify.SpatRaster(),
fortify.SpatVector().hypso.colors(): "artic", "meyers"
and "nordisk-familjebok".scale_colour_*.ggplot2::aes_string().geom_spatraster_contour() and
geom_spatraster_contour_filled() to the changes introduced
in ggplot2 (3.4.0), most notably the adoption of
linewidth = .2, by default.geom_spatraster():
geom_spatraster() is possible to avoid the
default fill of the layer using
geom_spatraster(fill = NA) or
geom_spatraster(aes(fill = NULL)).aes(fill = ggplot2::after_stat()) now works on
geom_spatraster().aes() and layersstat_spatraster().library or require is called. Messages on load
can be suppressed with
suppressPackageStartupMessages(library(tidyterra)).geom_spatraster_rgb() works with
facet_wrap() (#35)extdata/volcano2.tif using official DEM
information from New Zealand. Source: Auckland
LiDAR 1m DEM (2013).volcano2 dataset.slice_min() and slice_max()
for SpatRaster objects (#20). Also add a new parameter
na.rm.scale_fill_hypso_c()scale_fill_whitebox_c()scale_fill_wiki_c()scale_fill_cross_blended_c()asia.tif file on extdata.data.tables instead of
tibbles.as_spatraster() handles tibbles with characters and
factors.geom_spatraster() and
geom_spatraster_rgb().pull()transmute()rename()geom_spatraster_contour() family.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.