xarray-spatial | Raster-based Spatial Analytics for Python
kandi X-RAY | xarray-spatial Summary
kandi X-RAY | xarray-spatial Summary
xarray-spatial is a Python library typically used in Internet of Things (IoT) applications. xarray-spatial has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However xarray-spatial has 3 bugs. You can install using 'pip install xarray-spatial' or download it from GitHub, PyPI.
:round_pushpin: Fast, Accurate Python library for Raster Operations. :zap: Extensible with Numba. :fast_forward: Scalable with Dask. :confetti_ball: Free of GDAL / GEOS Dependencies. :earth_africa: General-Purpose Spatial Processing, Geared Towards GIS Professionals. Xarray-Spatial implements common raster analysis functions using Numba and provides an easy-to-install, easy-to-extend codebase for raster analysis.
:round_pushpin: Fast, Accurate Python library for Raster Operations. :zap: Extensible with Numba. :fast_forward: Scalable with Dask. :confetti_ball: Free of GDAL / GEOS Dependencies. :earth_africa: General-Purpose Spatial Processing, Geared Towards GIS Professionals. Xarray-Spatial implements common raster analysis functions using Numba and provides an easy-to-install, easy-to-extend codebase for raster analysis.
Support
Quality
Security
License
Reuse
Support
xarray-spatial has a low active ecosystem.
It has 713 star(s) with 78 fork(s). There are 22 watchers for this library.
There were 1 major release(s) in the last 12 months.
There are 40 open issues and 432 have been closed. On average issues are closed in 815 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of xarray-spatial is 0.4.0
Quality
xarray-spatial has 3 bugs (0 blocker, 0 critical, 3 major, 0 minor) and 87 code smells.
Security
xarray-spatial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
xarray-spatial code analysis shows 0 unresolved vulnerabilities.
There are 3 security hotspots that need review.
License
xarray-spatial is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
xarray-spatial releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed xarray-spatial and discovered the below as its top functions. This is intended to give you an instant insight into xarray-spatial implemented functionality, and help decide if they suit your requirements.
- Generate a terrain
- Calculate the resolution for a given aggregation
- Get the x - coordinates of the raster
- Calculate the resolution of a raster
- Create a new data array with bump locations
- Finalize a bump
- Calculates the crosstab dataframe
- Helper method to get zone values
- Compute the mean of the array
- Compute the mean of an array
- Calculate the lenshed kernel
- Calculate z - scores for a numpy array
- Perform the perlin - cupy
- Polygonize raster
- Wrapper for _hotspoty
- Calculate event elevation
- Setup the raster
- Generate the lenshed rays
- Calculate the mean of the data
- Performs the Perlin gradient descent
- Generate shadow rays
- Calculates the crosstab of the data
- Shade thelambert kernel
- Calculate the hotspots for the given raster
- Calculate the full statistics for a cupy
- Compute stats for dask
Get all kandi verified functions for this library.
xarray-spatial Key Features
No Key Features are available at this moment for xarray-spatial.
xarray-spatial Examples and Code Snippets
No Code Snippets are available at this moment for xarray-spatial.
Community Discussions
Trending Discussions on xarray-spatial
QUESTION
Numba CUDA: Changing xr.DataArray shape causes `Call to cuMemcpyDtoH results in UNKNOWN_CUDA_ERROR`
Asked 2020-Nov-07 at 20:13
I'm having trouble with a Numba-based GPU kernel. Its works on certain size arrays (800 x 600), but fails on other sizes (1200 x 600).
...ANSWER
Answered 2020-Nov-07 at 20:13Your kernel grid sizing strategy, eg.:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install xarray-spatial
You can install using 'pip install xarray-spatial' or download it from GitHub, PyPI.
You can use xarray-spatial like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use xarray-spatial like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
