spatial | Specify Parameterized Accelerators | GPU library
kandi X-RAY | spatial Summary
kandi X-RAY | spatial Summary
Spatial is an Argon DSL for programming reconfigurable hardware from a parameterized, high level abstraction.
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spatial Key Features
spatial Examples and Code Snippets
Lines of Code : 57License : Non-SPDX (Apache License 2.0)
Copydef _with_space_to_batch_adjust(orig, fill_value, spatial_dims):
"""Returns an `adjusted` version of `orig` based on `spatial_dims`.
Tensor of the same type as `orig` and with shape
`[max(spatial_dims), ...]` where:
adjusted[spatial_dims[ static void withSpatialPartition(
int height, int width, int numOfMovements, HashMap bubbles) {
//creating quadtree
var rect = new Rect(width / 2D, height / 2D, width, height);
var quadTree = new QuadTree(rect, 4);
//will run n def _spatial_output_shape(self, spatial_input_shape):
return [
conv_utils.conv_output_length(
length,
self.kernel_size[i],
padding=self.padding,
stride=self.strides[i],
dilation= Community Discussions
Trending Discussions on spatial
QUESTION
I would like to find minimum distance of each voxel to a boundary element in a binary image in which the z voxel size is different from the xy voxel size. This is to say that a single voxel represents a 225x110x110 (zyx) nm volume.
Normally, I would do something with scipy.ndimage.morphology.distance_transform_edt (https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.ndimage.morphology.distance_transform_edt.html) but this gives the assume that isotropic sizes of the voxel:
...ANSWER
Answered 2021-Jun-15 at 02:32Normally, I would do something with scipy.ndimage.morphology.distance_transform_edt but this gives the assume that isotropic sizes of the voxel:
It does no such thing! You are looking for the sampling= parameter. From the latest version of the docs:
Spacing of elements along each dimension. If a sequence, must be of length equal to the input rank; if a single number, this is used for all axes. If not specified, a grid spacing of unity is implied.
The wording "sampling" or "spacing" is probably a bit mysterious if you think of pixels as little squares/cubes, and that is probably why you missed it. In most situations, it is better to think of pixels as point samples on a grid, with fixed spacing between samples. I recommend Alvy Ray's a pixel is not a little square for a better understanding of this terminology.
QUESTION
I have a map of countries (sf object) and I would like to shift the longitude of the eastern portion of Russia so that it is not isolated from the rest of Russia. See Image
I found the backend code for st_shift_longitude https://github.com/r-spatial/sf/blob/master/R/shift_longitude.R, which shifts all coordinates by 180 degrees, so that the resulting map looks as follows:
link
How can I modify this block of code to shift the eastern portion of Russia only?
...ANSWER
Answered 2021-Jun-14 at 21:19You will need to break down your world object into two parts - one containing Russia, and other for the rest of world.
Then apply the pacific view / sf::st_shift_longitude() on the Russia part, and merge it back with the "rest of world" dataset.
In this example I am using the world dataset from giscoR package. It is my favorite, but it is not the only one available; and it has a feature (or a bug, depending on circumstances) of applying a thin interruption at the antimeridean; this results in an artefact around Chukotka in my map. Getting rid of it is a separate issue, and I am not certain you will be facing it with your version of the world dataset (so it may be, and may not be, relevant problem).
Anyway, here is a possible code implementation:
QUESTION
I have a SQL Server spatial layer with 750 circular polygons. Each polygon has a priority number "siteorder") and some of the polygons overlap (in some cases, with multiple others). I would like to split the overlapping areas to only retain it with the circle with the highest siteorder.
I'd ideally like to do this in SQL Server as I also have several steps to perform after this.
I generated the image below in QGIS but it can't easily do the rejoin.
Can anyone help please?
...ANSWER
Answered 2021-Jun-14 at 19:31My idea is to do following algoritm:
- Loop all circles from highest sortorder to lowest. This simplifies generation of overlapping, since a polygon cannot be overlapped by one in lower sort order
- Keep track of all previous polygons by generating a "mega polygon" which is a union of all previous. This simplifies overlapping of "lower" sorted polygons.
- The current polygon will be a difference of the circle and the "mega polygon", ie, rest of the circle that isn't overlapping.
Now for the code, i firstly create some test data in a #t-table, and then make a recursive cte to generate the polygons. You can also use a while loop or cursor if that's simpler
QUESTION
I create a spatial rectangle 25 x 20 and I only want to label the extremities (0, X) and (0, Y) when I plot it.
It works fine when coord_sf(expand=T) but I get an error message if expand=F.
The rectangle is defined as
...ANSWER
Answered 2021-May-26 at 07:08I have tried to create a custom function for labelling, try this:
QUESTION
I'm new to the package stars for R and am trying to do basic spatial operations with curvilinear data. I am using netCDF climate data. I am able to read the netcdf into r along with a shapefile I would like to use to specify the area in which I want to conduct analyses. I have tried to crop the file directly using st_crop() but receive the following error:
ANSWER
Answered 2021-Jun-10 at 18:11Well I figured it out and it was quite simple. I was able to subset the stars object using the shapefile with this simple code: test[wrst]. No warping or resampling necessary.
QUESTION
I am trying to make a data smoothng function on a set of data I am using savitzky golay filter in order to do that, I am collecting an array of data and call the function by Scipy.
But since I am looping through a spcific element in a different frame I dont have spatial locality nor time locality.
dataobj.body.data[j][0][i]
holds (x,y) and I am only collecting the ys.
Here's the following loop :
...ANSWER
Answered 2021-Jun-09 at 09:17What about training a Krige model (of just a polynomial interpolation ) with 50 % of your x and y datas, and then taking the ^y evaluation of the model on your whole set x ? Krige model example of code (using smt module) :
QUESTION
I have two numpy arrays: ones is some coordinates (x, y, z) with an id and another one is only some coordinates (x, y, z):
ANSWER
Answered 2021-Jun-10 at 08:55using np.where(np.min(X)) doesn't give you the correct answer as min returns the minimum value (rather than the index of the minimum value) and where will return all nonzeros. I think what you are looking for is argmin:
QUESTION
I am building a 300x300 model with each grid cell being 10m. I used the sprout command to generate 1 turtle in each patch. The turtles perform some procedures and I keep the result in their original patch and die. I need to export this generated result which is stored in the patch. Does anyone know how I can export an array with the correct spatial distribution of the patch parameter? Or maybe an ordered table?
Thanks in advance
...ANSWER
Answered 2021-Jun-08 at 21:45At the end of a run, you can simply use the export commands in the menu, the most relevant is export-world but that will include other information.
If you just want to export specific informaiton, have a look at the File Output Example in the NetLogo models library. In your case, you will want to export patch information including the variables pxcor and pycor as they are the positions (or cell indices for the array)
QUESTION
I have a spatial database with multiple tables, I have created a buffer for a table with points and wanted to add the buffer to the existing table. And wanted to do a spatial join like using this buffer and another table with points to count the number of points inside each buffer and add it as a new column in the existing buffer table. I cannot figure it out.
...ANSWER
Answered 2021-Jun-07 at 21:14First add a new geometry column with AddGeometryColumn..
QUESTION
I'm trying to manage large datasets or files (e.g., GeoTIFF) on plain R (via terminal) or RStudio (1.4.1106), but both apps crash every time on Linux (Manjaro, x64, core i7, and 8 GB RAM) for some scripts (especially when a raster data is plotted using ggplot2 to produce a high-quality map, as well as a lmer function with random factors using a csv file with ~3000 rows and 6 columns). Probably the issue refers to memory management since all the memory is consumed. To overcome, I tried two packages to limit/increase the memory size, such as "unix" and "RAppArmor". However, if the memory size is limited, all your available RAM was exhausted and the famous message "cannot allocate a vector..." is shown. On the other hand, if the memory size is increased to high levels, R/RStudio simply crashes. On Windows, the following code works like a charm to increase memory size (only needed to plot a raster into ggplot2):
...ANSWER
Answered 2021-Jun-08 at 02:15With the help of a member from another forum (https://community.rstudio.com/t/out-of-memory-on-r-using-linux-but-not-on-windows/106549), I found the solution. The crash was a result of memory limitation in the swap partition, as speculated earlier. I increased my swap from 2 Gb to 16 Gb and now R/RStudio is able to complete the whole script. It is a quite demanding task since all of my physical memory is exhausted and nearly 15 Gb of the swap is eaten.
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