raster | Raster — simple CSS grid system
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Raster — simple CSS grid system
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QUESTION
I have a raster data and wants to make contour graph similar to the this question enter link description here. I got the code from here. But I want to highlight (colour) the regions which is above 75 percentile and remaining by the simple lines that are shown in picture below. I copied the code from the the above link
Code is folowing
...ANSWER
Answered 2022-Apr-09 at 16:05You can set the breaks of geom_contour_filled
to start at your 75th centile, and make the NA
value of scale_fill_manual
transparent. You also need to draw in the default contour lines:
QUESTION
I want to crop a raster using a bbox or a known extent, i.e., 10 pixels in row and col.
Below you can see a reproducible example:
...ANSWER
Answered 2022-Apr-03 at 16:57Using terra
data, by your approach, which I like:
QUESTION
Problem
I'm trying to clip a very large block model (5.8gb CSV file) containing centroid x, y, and z coordinates with an elevation raster. I'm trying to obtain only the blocks lying just above the raster layer.
I usually do this in ArcGIS by clipping my block model points to the outline of my raster and then extracting the raster values to the block model points. For large datasets this takes an ungodly amount of time (yes, that's a technical term) in ArcGIS.
How I want to solve it
I want to speed this up by importing the CSV to Python. Using Dask, this is quick and easy:
...ANSWER
Answered 2022-Mar-31 at 20:54The optimal way of linking dask and geopandas is the dask-geopandas package.
QUESTION
I want to perform a neighborhood analysis in R to smooth the layer I have but keeping all the NAs of the input raster intact.
However, when I do, for instance, the following, the calculation "propagates" over the NA values - what it is an undesiderable behavior, in my case.
...ANSWER
Answered 2022-Mar-23 at 13:12With terra
the focal
method has an argument na.policy
that can be set to one of "all", "only" or "omit".
QUESTION
I am trying to render the world map with elevation data using D3.
For this I use Natural Earth 50m land geojson : https://github.com/martynafford/natural-earth-geojson/tree/master/50m/physical
And Natural Earth elevation raster data : https://www.naturalearthdata.com/downloads/50m-raster-data/50m-shaded-relief/
I am using this tutorial : https://datawanderings.com/2020/08/08/raster-backgrounds/
So I first found the bounds of the geojson :
...ANSWER
Answered 2022-Mar-20 at 08:06A Mercator is usually clipped at roughly 85 degrees North/South (~85.05113 N/S) - as further than this you get a map that is taller than it is wide, and one that gets much much taller for every extra degree north/south included in the extent..
D3 clips features using this limit:
The spherical Mercator projection. Defines a default projection.clipExtent such that the world is projected to a square, clipped to approximately ±85° latitude.
The northern bounds are fine, but the southern bounds of the geojson is -89.998926
degrees which you use to cut the image. But as D3 clips the geojson, your stretching the image by a different amount as compared with the geojson, hence the issue you see.
The solution should be to clip the image to a bounds that is representative of the limits of what D3 will render for a Mercator (85.05113
degrees south) not the limits of the data itself.
I haven't looked up how faithfully gdal implements EPSG:3395 as the definition provides for a projected bounds of 80 degrees south and 84 degrees north - though looking at the image, this doesn't appear to be an issue.
You can also use the cleaner fitSize methods for D3 projections (d3v4+):
QUESTION
Lidar data is simply 3d coordinates, usually in las
file format. Сontent example
ANSWER
Answered 2022-Mar-19 at 08:58Please find below one possible solution to get a data.table,data.frame
with all the information. You can use as.data.frame()
to get a pure data.frame
but a data.table
is a data.frame
Reprex
NB: I used a .las
dataset built in the lidR
library as it is more convenient.
- The example dataset from
lidR
QUESTION
library(raster)
r <- raster(ncol=5, nrow=5, vals=2:26)
r1 <- raster(ncol=5, nrow=5, vals=2:26)
rs=stack(r,r1)
as.matrix(rs[[1]])
[,1] [,2] [,3] [,4] [,5]
[1,] 2 3 4 5 6
[2,] 7 8 9 10 11
[3,] 12 13 14 15 16
[4,] 17 18 19 20 21
[5,] 22 23 24 25 26
as.matrix(rs[[2]])
[,1] [,2] [,3] [,4] [,5]
[1,] 2 3 4 5 6
[2,] 7 8 9 10 11
[3,] 12 13 14 15 16
[4,] 17 18 19 20 21
[5,] 22 23 24 25 26
...ANSWER
Answered 2022-Mar-15 at 15:27We can unstack
and convert to vector
QUESTION
I use JavaFX with Java 8 and i set this properties before launching my app
System.setProperty("prism.forceGPU","true");
System.setProperty("prism.order","d3d,sw");
The verbose mode for prism gives me this :
ANSWER
Answered 2022-Mar-09 at 05:23For those who are trying to solve a similar issue, it might be coming from the java.exe executable not using the gpu you want as a default device, you can change that in Windows' settings.
QUESTION
I have a dataframe similar in structure to the one created below:
...ANSWER
Answered 2022-Feb-25 at 19:28geosphere::dist*
support this. The most-accurate is distVincentyEllipsoid
(though it may be slower with larger data), followed by distVincentySphere
and distHaversine
. Its return value is in meters.
QUESTION
I can't solve a problem I found when plotting and saving an image from raster with the ggsave()
function in R.
When I plot it, it works well. When I use ggsave()
to export it, horizontal gray lines are added to the plot.
I want to remove them but I don't know how to do it.
That's an example image with the options and the code I used:
ANSWER
Answered 2022-Feb-18 at 14:29library(tidyverse)
df <- tibble(
val = rep(sin(seq(0, 4*pi, length = 100)), 100),
x = rep(1:100, 100),
y = rep(1:100, each = 100)
)
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