WaporTranslator | Python module for calculating Climate
kandi X-RAY | WaporTranslator Summary
kandi X-RAY | WaporTranslator Summary
WaporTranslator is a Python library. WaporTranslator has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However WaporTranslator build file is not available. You can install using 'pip install WaporTranslator' or download it from GitHub, PyPI.
WaPOR is an open accessible near real time database that use satellite information to monitor different agricultural related parameters like Evapotranspiration, Net Primary Production, and Gross Biomass Water Productivity. At the moment, version 2.0 has been launced on the 17th of June 2019 whole Africa with a spatial resolution of 250 meters for a dekadal timescale. The main riverbasins are covered on a 100m grid, and some parts have even a spatial resolution of 30m. All the dataset area available since 2009 and runs till near real time. The WaporTranslator is a python based module, that mainly uses WaPOR data in combination with GLDAS, MODIS, LANDSAF, SoilGrids and SRTM data to calculate multiple indicators for Food Production, Water Productivity, Climate, Drought, and Irrigation. The tool is made on a 64-bits Windows 10 computer using python 3.7. For calculating large areas, make sure your computer has enough RAM (minimum of 16Gb working memory). For smaller areas a 8Gb RAM would be sufficient. Limitation: Due to the limitation in solar input, the model is now forced to include a recent year within the analyses. This means that if LANDSAF is used as solar input, the "End_Year" parameter cannot be smaller than 2016 and for KNMI option (default) as solar input this parameter cannot be smaller than 2017. There are several packages available, which include python. Recommended for the WaporTranslator is to use the python package within Anaconda. The great advantage of using the standard Anaconda package is that most of the common used modules are included within the package and also an IDE is included (Spyder). Alternatively, these modules can be installed separately by the user if a not Anaconda is preferred.
WaPOR is an open accessible near real time database that use satellite information to monitor different agricultural related parameters like Evapotranspiration, Net Primary Production, and Gross Biomass Water Productivity. At the moment, version 2.0 has been launced on the 17th of June 2019 whole Africa with a spatial resolution of 250 meters for a dekadal timescale. The main riverbasins are covered on a 100m grid, and some parts have even a spatial resolution of 30m. All the dataset area available since 2009 and runs till near real time. The WaporTranslator is a python based module, that mainly uses WaPOR data in combination with GLDAS, MODIS, LANDSAF, SoilGrids and SRTM data to calculate multiple indicators for Food Production, Water Productivity, Climate, Drought, and Irrigation. The tool is made on a 64-bits Windows 10 computer using python 3.7. For calculating large areas, make sure your computer has enough RAM (minimum of 16Gb working memory). For smaller areas a 8Gb RAM would be sufficient. Limitation: Due to the limitation in solar input, the model is now forced to include a recent year within the analyses. This means that if LANDSAF is used as solar input, the "End_Year" parameter cannot be smaller than 2016 and for KNMI option (default) as solar input this parameter cannot be smaller than 2017. There are several packages available, which include python. Recommended for the WaporTranslator is to use the python package within Anaconda. The great advantage of using the standard Anaconda package is that most of the common used modules are included within the package and also an IDE is included (Spyder). Alternatively, these modules can be installed separately by the user if a not Anaconda is preferred.
Support
Quality
Security
License
Reuse
Support
WaporTranslator has a low active ecosystem.
It has 6 star(s) with 4 fork(s). There are 5 watchers for this library.
It had no major release in the last 12 months.
WaporTranslator has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of WaporTranslator is 0.0.0
Quality
WaporTranslator has 0 bugs and 0 code smells.
Security
WaporTranslator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
WaporTranslator code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
WaporTranslator 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
WaporTranslator releases are available to install and integrate.
Deployable package is available in PyPI.
WaporTranslator has no build file. You will be need to create the build yourself to build the component from source.
It has 3128 lines of code, 50 functions and 32 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed WaporTranslator and discovered the below as its top functions. This is intended to give you an instant insight into WaporTranslator implemented functionality, and help decide if they suit your requirements.
- Process LSASAF file
- Reproject tiff
- Sets the projection
- Creates a LU map for the given dates
- Return the ESACCI version
- List of available WAPOR conversion
- Calculate AEZ
- Return a list of AEZ conversion
- Calculate Phenology
- Calculates the season of a period
- Calculate dekads from daily dates
- Get dekads for dates
- Reproject a dataset example
- Get the epsg from gdal
- Calculates the dekads from the month
- Calculate daily radiation
- Calculate season types
- Calculate the aridity index
- Calculate slope
- Return a dictionary with alert information
- Return a list of available AEZ names
- Calculate the area of the decimal degrees in degrees
- Convert vector coordinates to raster
- Saves data to a geotiff file
- Calculate the humidity
- Calculate irradation
Get all kandi verified functions for this library.
WaporTranslator Key Features
No Key Features are available at this moment for WaporTranslator.
WaporTranslator Examples and Code Snippets
No Code Snippets are available at this moment for WaporTranslator.
Community Discussions
No Community Discussions are available at this moment for WaporTranslator.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install WaporTranslator
You can install using 'pip install WaporTranslator' or download it from GitHub, PyPI.
You can use WaporTranslator 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 WaporTranslator 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
