Hello,
I would like to be able to visualize / plot a specific data layer within
the structure a hierarchical data file format .h5 in R. I could observe
the structure as follows :
library(rhdf5)
r= h5ls(file.choose())
r
and also in this way identify the Group and Name of the data to be plotted,
Dear list,
I have a set of 15 and 30 minute drive-time polygons created
from mapboxapi::mb_isochrone. Ultimately I want to erase the smaller
polygons from the larger so that the polygons are non-overlapping,
concentric rings.
The whole dataset includes ~1600 polygons for each drive-time spread ou
Your first solution solved it perfectly!
Thanks,
PauloFR
Às 13:36 de 12/11/2021, Tim Salabim escreveu:
Hi Paolo,
I am assuming the raster is being warped/projected upon rendering. By
default we use 'bilinear' resampling.
2 possible solutions:
1) set the method for projecting with mapview(rst,
Hi Paolo,
I am assuming the raster is being warped/projected upon rendering. By
default we use 'bilinear' resampling.
2 possible solutions:
1) set the method for projecting with mapview(rst, method = "ngb") for
nearest-neighbor resampling
2) set mapview(rst, native.crs = TRUE) so that the raster
I'm trying to plot a raster where pixels can only assume integer values
1, 2 or 3, identifying 3 land use classes. The map does fine when
plotted with the base r function: plot(rastername). However, I would
like to use mapview (or another package for interactive maps) but it
creates pixels with
