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PyAEZ-1.1.0


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توضیحات

PyAEZ is a python package consisted of many algorithms related to Agro-ecalogical zoning (AEZ) framework.
ویژگی مقدار
سیستم عامل OS Independent
نام فایل PyAEZ-1.1.0
نام PyAEZ
نسخه کتابخانه 1.1.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Geoinformatics Center, Asian Institute of Technology, Thailand
ایمیل نویسنده geoinfo@ait.asia
آدرس صفحه اصلی https://github.com/gicait/PyAEZ
آدرس اینترنتی https://pypi.org/project/PyAEZ/
مجوز MIT License
[![Downloads](https://pepy.tech/badge/pyaez)](https://pepy.tech/project/pyaez) [![PyPI version](https://badge.fury.io/py/PyAEZ.svg)]([https://badge.fury.io/py/PyAEZ](https://pypi.org/project/PyAEZ/)) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://github.com/gicait/PyAEZ/blob/master/LICENSE) # PyAEZ PyAEZ is a python package consisted of many algorithms related to Agro-ecalogical zoning (AEZ) framework. PyAEZ tries to encapsulate all complex calculations in AEZ and try to provide user friendly, and intuitive ways to input data and output results after calculations. # Installation Now the package can be installed using `pip` command as below, ```shell pip install pyaez ``` Alternatively, can be installed using using `conda` command as below, ```shell conda install -c conda-forge pyaez ``` ### Introduction PyAEZ includes 6 main modules as below. Additionally to that, UtilityCalculations module is also included in PyAEZ to perform additional related utility calculations. - Module I: Climate Regime - Module II: Crop Simulations - Module III: Climate Constraints - Module IV: Soil Constraints - Module V: Terrain Constraints - Module VI: Economic Suitability Analysis - UtilityCalculations Module Other than 6 main modules and utility module, following 3 major algorithms related to AEZ also are included in PyAEZ. Those 3 major algorithms can be utilized individually without running whole PyAEZ. - Biomass Calculations - Evapotranspiration Calculations - CropWat Calculations ### Dependencies - numpy - scipy - gdal - numba (optional) ### Step-by-step Process Following 6 Jupyter notebooks in the repository can be used as worked full example for PyAEZ 6 major modules. - NB1_ClimateRegime.ipynb - NB2_CropSimulation.ipynb - NB3_ClimaticConstraints.ipynb - NB4_SoilConstraints.ipynb - NB5_TerrainConstraints.ipynb - NB6_EconomicSuitability.ipynb **Note**: _NB2_CropSimulation.ipynb_ takes a huge amount of time due to automatic crop calendar calculations. Hence, we have rewritten core parts of PyAEZ (_CropWatCalc.py_, _BioMassCalc.py_ and _ETOCalc.py_) with [Numba](http://numba.pydata.org/) compatible manner as well. Numba translates Python functions to optimized machine code at runtime, allowing calculation speeds close to C or FORTRAN. If you are using [Numba](http://numba.pydata.org/), you can replace _CropWatCalc.py_, _BioMassCalc.py_ and _ETOCalc.py_ files in _PyAEZ/code/_ with Numba version of those files located in _PyAEZ/code/numba_core/_ when you are running _NB2_CropSimulation.ipynb_. ### Documentation API Documentation is located in "docs" folder. ### Citation Use this bibtex to cite us. ``` @misc{PyAEZ_2020, title={PyAEZ Python Package for Agro-ecological zoning (AEZ)}, author={N. Lakmal Deshapriya, Thaileng Thol, Kavinda Gunasekara, Rajendra Shrestha, Gianluca Franceschini, Freddy Nachtergaele, Monica Petri, Beau Damen}, year={2020}, publisher={Github}, journal={GitHub repository}, howpublished={\url{https://github.com/gicait/PyAEZ}}, } ``` ### Developed by [Geoinformatics Center](www.geoinfo.ait.ac.th) of [Asian Institute of Technology](www.ait.ac.th). Principal Investigators (PIs) of the project: - Dr. Kavinda Gunasekara (kavinda@ait.asia) - Prof. Rajendra Shrestha (rajendra@ait.ac.th) ### Funding Food and Agriculture Organization of the United Nations ([FAO](http://www.fao.org/home/en/)) and [FAO SAMIS](http://www.fao.org/in-action/samis/en/) (Strengthening Agro-climatic Monitoring and Information System) Project in Lao PDR. ### Sample Data Source - Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch, 2018, Terraclimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015, Scientific Data, ### Major AEZ References - de Wit, C. T. (1965). Photosynthesis of leaf canopies. Agricultural Research Report No. 663. PUDOC, Wageningen, 57 . - FAO. (1992). Cropwat: A computer program for irrigation planning and management. Land and Water Development Division, Rome, Italy, FAO Irrigation and Drainage Paper no 46 . - FAO. (1998). Crop evapotranspiration. FAO Irrigation and Drainage Paper no.56 Rome, Italy. - FAO. (2017). Final Report: National Agro-Economic Zoning for Major Crops in Thailand (NAEZ). - Fischer, G., van Velthuizen, H., Shah, M., & Nachtergaele, F. (2002a). Global agroecological assessment for agriculture in the 21st century: Methodology and results. IIASA RR-02-02, IIASA, Laxenburg, Austria. - Monteith, J. L. (1965). Evapotranspiration and the environment. In The State and Movement of Water in Living Organisms, 205-234. - Monteith, J. L. (1981). Evapotranspiration and surface temperature. Quarterly Journal Royal Meteorological Society, 107 , 1-27.


نیازمندی

مقدار نام
- numpy
- scipy
- gdal
- numba
- pytest
- black
- flake8
>=1.7 sphinx
- pre-commit


زبان مورد نیاز

مقدار نام
>=3.6 Python


نحوه نصب


نصب پکیج whl PyAEZ-1.1.0:

    pip install PyAEZ-1.1.0.whl


نصب پکیج tar.gz PyAEZ-1.1.0:

    pip install PyAEZ-1.1.0.tar.gz