tmap | fast visualization library | Data Visualization library
kandi X-RAY | tmap Summary
kandi X-RAY | tmap Summary
tmap is a very fast visualization library for large, high-dimensional data sets. Currently, tmap is available for Python. tmaps graph layouts are based on the OGDF library.
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QUESTION
I have folder where many lidar(.las) files. It looks like
...ANSWER
Answered 2022-Apr-17 at 11:33Maybe somthing like this
QUESTION
Concerning my last post, I successfully plotted the school districts on a national map using the library tmap. Below is my attempt to plot the map. As you can see, this is far behind the reference (by Laura Bliss: Bloomberg CityLab, 2015) that I want to follow. I guess there might be something wrong when I used st_make_valid()
. Thus, I ran the following code to see the reasons behind Error: Shape contains invalid polygons (please note that I used Alabama (al) as an example, and the responses from st_is_valid(..., reason = TRUE)
are 140 lines in total).
ANSWER
Answered 2022-Apr-11 at 22:04As Chris pointed out, the darker areas are due to the density of the polygons you're mapping. You can adjust the border size with the lwd
argument in tmap
's functions.
Since the polygons are so dense, and you're filling them according to the data, you can probably go very low with the lwd
argument. Default is 1.
Examples:
QUESTION
I want to type a function that can take either a class type, or an instance of the class, and then return an instance of that same class. For example:
...ANSWER
Answered 2022-Mar-22 at 19:09You should bound the Dest
class to TypeVar, to prevent the Type[]
error:
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
I am working with some public datasets, which can be accessed here inside the 'stack_question' folder).
I am trying to create a map of all the supermarkets within the state of Kansas using the tmap
library in R
. Using ggplot
, I generated a map using the following code:
ANSWER
Answered 2022-Mar-14 at 11:06I tried to replicate the map, but the file FoodAtlas.csv
is missing. I think this should work (just using the same data that you used for ggplot2
):
QUESTION
I am trying to specify a simple legend for a map of polygons and an integer variable, in which not all values within the range are present. I need this in order to have the same legend, with the same color scale, on comparable maps which differ in both the range and the particular values present. For example, the maximum value of a variable is 8 on any of the maps. I want the legend to show the values 0 to 8 even when 6, or any particular value, is not present for any polygon, and I want the labels on the legend to be 0 to 8, inclusive, with no pooling.
A replicable example:
...ANSWER
Answered 2022-Mar-04 at 13:58Please find below one possible solution using tmap
:
Reprex
- Your data
QUESTION
I am using the tmap
package to plot some data on a map. Because of the size of the datasets, you can download the needed ones here (they are public datasets). This code uses the .csv and .shp files in the drive.
I need to move the compass and the scale bar off of the image and below my legends. How can I do this? I haven't seen that the tm_compass
command has an option to move it outside of the image, so is there another way of doing this?
Code:
...ANSWER
Answered 2022-Mar-01 at 20:48QUESTION
I have taken aerial photographs with a drone and stitched those together into a .geotiff file, using third party software. I would like to add this file as a layer to an interactive leaflet
map, e.g. as produced by mapview
. I can produce an interactive map, but this only shows data, e.g. digital elevation not the actual photograph.
.geotiff files aren't very freely available, so see this link for an example file from naturalearth: https://www.naturalearthdata.com/downloads/50m-raster-data/50m-cross-blend-hypso/
...ANSWER
Answered 2022-Feb-10 at 15:08I guess you ar looking for the mapview::viewRGB()
function.
Please find below a little reprex.
Reprex
QUESTION
Is it possible to include more than one tm_compass()
on a map created by tmap
?
I know it's probably unlikely that you'd need to, but say you wanted to show off the different compass types. Using nz
from the spData
package I tried adding each new compass as an additional layer, but it seems only the first one is included on the map.
ANSWER
Answered 2022-Jan-31 at 17:45Interesting question. As you point out, in normal use it is unlikely that one would need to display multiple compasses for the same map and that is probably why the default behavior of the tmap
library does not handle this case.
That said, it is still possible to add all five tmap
compasses to the same map using some workarounds! So, please find below the general "strategy":
Building 5 maps, each with one of the
tmap
compasses. Then convert these maps into 'grob' objects using thetmap::tmap_grob()
function to extract the compasses with the help of thegetGrob()
function from thebase R
librarygrid
.Visualizing the compasses (without and with labels) using the
cowplot
libraryBuilding the final map with the five compasses using the
cowplot
library
NB: when running the reprex just below, don't worry about the rendering of the different plots that will be displayed in your plotting device
(as the rendering depends on the aspect ratio of the device); what matters is the rendering of the maps saved in the .png
files.
STEP 1 - EXTRACT EACH COMPASS TYPE FROM FIVE 'DUMMY' MAPS AS 'GROB' OBJECTS
QUESTION
I am trying to use the exact_extract()
function of the exactextractr::
package to give me the percent area of a polygon covered by each class of a classified raster. However, I am getting a cryptic error message "Error in .num_expected_args(fun) : 'list' object cannot be coerced to type 'double'." The error seems to be saying that all of the coverage fraction values are stored in a list, and the summarization routine is trying to convert it to a double-precision datatype. The only thing I can think of is that perhaps this is a bug in the exact_extract()
function. Any guidance would be much appreciated. Below is my reproducible example to illustrate the issue:
ANSWER
Answered 2022-Jan-07 at 23:52It turns out that I am just an idiot. exact_extract()
expects the functions to be quoted because they are run internally and not taken from the external functions. This solved the issue entirely:
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