GigPy | GPS-based Imaging Geodesy toolbox in Python
kandi X-RAY | GigPy Summary
kandi X-RAY | GigPy Summary
GigPy is a Python library typically used in Healthcare, Pharma, Life Sciences applications. GigPy has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However GigPy build file is not available. You can download it from GitHub.
Gps-based Imaging Geodesy toolbox in PYthon (GigPy) is an open source package for analyzing spaito-temporal GPS products (tropospheric delays, water vapor delay or atmospheric water vapor, ground displacement) from an imaging-geodesy perspective. It searches and downloads gps products over an area of interest from Nevada Geodetic Laboratory or UNAVCO, uses state-of-the art algorithms to analyze different components (topography-correlated, spatial trend component, turbulent component) of the GPS products, and robustly reconstructs the high-resolution maps of different GPS products, which could be useful in areas of meteorology (atmospheric water vapor maps) and geodesy (tropospheric delay maps). Performance of GigPy definitely depends on the spatial density of the available GPS stations, and according to our test-purpose experiments, it works well in areas like Northern America, Europe, and Japan. ps: GigPy is Improved from PyGPS. Open by Feb. 2020.
Gps-based Imaging Geodesy toolbox in PYthon (GigPy) is an open source package for analyzing spaito-temporal GPS products (tropospheric delays, water vapor delay or atmospheric water vapor, ground displacement) from an imaging-geodesy perspective. It searches and downloads gps products over an area of interest from Nevada Geodetic Laboratory or UNAVCO, uses state-of-the art algorithms to analyze different components (topography-correlated, spatial trend component, turbulent component) of the GPS products, and robustly reconstructs the high-resolution maps of different GPS products, which could be useful in areas of meteorology (atmospheric water vapor maps) and geodesy (tropospheric delay maps). Performance of GigPy definitely depends on the spatial density of the available GPS stations, and according to our test-purpose experiments, it works well in areas like Northern America, Europe, and Japan. ps: GigPy is Improved from PyGPS. Open by Feb. 2020.
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GigPy has a low active ecosystem.
It has 11 star(s) with 3 fork(s). There are 2 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 176 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of GigPy is current.
Quality
GigPy has 0 bugs and 0 code smells.
Security
GigPy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
GigPy code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
GigPy is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
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GigPy releases are not available. You will need to build from source code and install.
GigPy has no build file. You will be need to create the build yourself to build the component from source.
It has 5302 lines of code, 231 functions and 21 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed GigPy and discovered the below as its top functions. This is intended to give you an instant insight into GigPy implemented functionality, and help decide if they suit your requirements.
- Read an hdf5 file
- Read an attribute
- Get the slice list from a HDF5 file
- Download the atm co
- Get size of filelist
- Determine the download file to download
- Compute the kriging matrix
- Compute the distance between two points
- Read data from a GPS coordinate file
- Read an h5 file
- Extract sar_pars
- Return a human readable unit date
- Convert YYYYMMDD to YYYYMMDD
- R Implements the cartesian distance between two points
- Find the common station
- Adjusts the data from the hdf5 file
- Calculate the kriging interpolation between two points
- Command line parser
- Adjusts the latitude and latitude
- Pre - model pre - model for dry orbit
- R Generates a spherical kriging model
- Adjust GPS coordinates
- Adjust latitude and longitude
- Get slice list from HDF5 file
- Parallel parallel computation
- Adjust GPS latitude and longitude
- Function to create a dry orbit
Get all kandi verified functions for this library.
GigPy Key Features
No Key Features are available at this moment for GigPy.
GigPy Examples and Code Snippets
No Code Snippets are available at this moment for GigPy.
Community Discussions
No Community Discussions are available at this moment for GigPy.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install GigPy
You can download it from GitHub.
You can use GigPy 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 GigPy 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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