digital-elevation-model | To transform , project , visualize , and read Digital | Map library
kandi X-RAY | digital-elevation-model Summary
kandi X-RAY | digital-elevation-model Summary
digital-elevation-model is a Python library typically used in Geo, Map applications. digital-elevation-model has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However digital-elevation-model build file is not available. You can download it from GitHub.
English Version | 中文版. This is a Python implementation of transforming, projecting, converting, and visualizing Digital Elevation Models as well as reading their elevation of given locations.
English Version | 中文版. This is a Python implementation of transforming, projecting, converting, and visualizing Digital Elevation Models as well as reading their elevation of given locations.
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Quality
Security
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Support
digital-elevation-model has a low active ecosystem.
It has 68 star(s) with 14 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 574 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of digital-elevation-model is current.
Quality
digital-elevation-model has 0 bugs and 0 code smells.
Security
digital-elevation-model has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
digital-elevation-model code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
digital-elevation-model is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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digital-elevation-model releases are not available. You will need to build from source code and install.
digital-elevation-model has no build file. You will be need to create the build yourself to 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 digital-elevation-model and discovered the below as its top functions. This is intended to give you an instant insight into digital-elevation-model implemented functionality, and help decide if they suit your requirements.
- Calculate the elevation of a site .
- Write a DEM file .
- Visualize a 2D DEM image .
- Get information about the DEM .
- Transport from GDAL DEM .
- Get a list of file names in the given directory .
Get all kandi verified functions for this library.
digital-elevation-model Key Features
No Key Features are available at this moment for digital-elevation-model.
digital-elevation-model Examples and Code Snippets
No Code Snippets are available at this moment for digital-elevation-model.
Community Discussions
Trending Discussions on digital-elevation-model
QUESTION
Elevation (XYZ) data to slope/gradient map using python
Asked 2019-Oct-09 at 07:25
I have a text file with Easting (x), Northing (y), and Elevation data (z) as shown below:
...ANSWER
Answered 2019-Jun-20 at 23:47Assuming your data is in an n x 3 Numpy array, first reinterpret just the elevation column as a matrix (representing the uniform grid):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install digital-elevation-model
You can download it from GitHub.
You can use digital-elevation-model 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 digital-elevation-model 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 .
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