/gis_regression_tools

Linear Regression and Sen-Mann-Kendall Regression Tools for Raster Datasat.

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

gis_regression_tools

Linear Regression and Sen-Mann-Kendall Regression Tools for Raster Datasats.

Introduction to the files

easy_regression.py

Just a test for regression.

mk_test.py

A Mann-Kendall algorithm from Michael Schramm from https://github.com/mps9506/Mann-Kendall-Trend

RANSAC.py

RANSAC algorithm test from duanxxnj@163.com More information : https://blog.csdn.net/daunxx/article/details/51858208

sen.py

Sen algorithm test from duanxxnj@163.com More information : https://blog.csdn.net/daunxx/article/details/51858208

rs_er.py

Linear Regression Tool for Raster Datasets.

rs_sen/py

Sen-Mann-Kendall Regression Tool for Raster Datasets.

process_csv.py

Sen-Mann-Kendall Regression for CSV file�.

How to set up the environment

(1) Set up Python Environment After you set up, you need to add python.exe to PATH variable.

(2) Set up pip

(3) Set the Scripts directory in python install directory to PATH variable.

(4) Set up numpy

python -m pip install -U numpy

(5) Set up scipy

python -m pip install --user numpy scipy matplotlib ipython jupyter pandas sympy nose

(6) Set up scikit-learn

python -m pip install -U scikit-learn

(7) Set up GDAL

See https://www.cnblogs.com/wang985850293/p/6264714.html

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学生董昱

**科学院地理科学与资源研究所

**科学院大学

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邮箱:dongyu1009@163.com

Dong Yu, A Post-Graduate Student From

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

University of Chinese Academy of Sciences

Tel: +86 15110090085

E-mail: dongyu1009@163.com