Metadata-Version: 2.1
Name: RasterMiner
Version: 0.1.2.2
Summary: This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
Home-page: https://github.com/udayRage/PAMI
Author: Rage Uday Kiran
Author-email: uday.rage@gmail.com
License: GPLv3
Description: # rasterMiner
        
           This open-source software empowers the users with the set of tools to discover knowledge hidden in raster datasets.  
           This software is distributed under GNU-V3 liscense.
           
           rasterMiner currently supports the following knowledge discovery tasks:
           1. Data preprocessing and Nan value handling
           2. Pattern mining
           3. Clustering
           4. Classification
           5. Prediction (yet to be developed)
           
           The user manual for rasterMiner is available at  https://udayrage.github.io/rasterMiner/
        ## Ways to execute rasterMiner
        
           rasterMiner can be executed in any one of the following ways:
           
           1. Terminal-based execution
           2. GUI-based execution
           3. As a Python-library in QGIS, ARCGIS, ENVI, and in conventional python programs. (Under development) 
            
            
        ## Installation 
        
        ### Installation using Anaconda (Any operating system)
        1. Install and set up Anaconda. URL:   https://linuxize.com/post/how-to-install-anaconda-on-centos-7
        2. Create a virtual environment using conda.
        
               conda create --name rasterMiner
             
        3. Enter into virtual environment. 
        
               conda activate rasterMiner
             
        4. Install python using Conda.  
        
               conda install python
         
        5. Install GDAL using Conda
        
               conda install gdal
                 
        6. Install the following libraries using PIP 
        
               pip install mplcursors matplotlib sklearn pandas pami
                 
        7. Clone the rasterMiner repository using git clone command
        
               git clone https://github.com/udayRage/rasterMiner.git
        
        8. Execute the rasterMiner code by typing the following command
        
               python rasterMiner/rasterMiner/GUI/rasterMiner.py
                 
        ### Installation in MacOS
        
        1. Install Homebrew in Mac
        2. Install GDAL using brew
          
               sudo brew install gdal
               
        3. Install Git clone
        
               brew install git
        
        4. Install the following libraries using PIP 
        
               pip install mplcursors matplotlib sklearn pandas pami
               
               
        5. Clone the rasterMiner
        
               git clone https://github.com/udayRage/rasterMiner.git
        
        6. Execute the rasterMiner code by typing the following command
        
               python rasterMiner/rasterMiner/GUI/rasterMiner.py
               
        ### Installation in Ubuntu
        
        1. Execute the following four steps in the presented order:
        
               sudo apt-add-repository ppa:ubuntugis/ubuntugis-unstable
               sudo apt-get update
               sudo apt-get gdal-bin
               sudo apt-get install git
            
        2. Install any Python 3 version
        
               sudo apt-get install python
        
        3. Install the following libraries using PIP 
        
               pip install mplcursors matplotlib sklearn pandas pami
               
               
        4. Clone the rasterMiner
        
               git clone https://github.com/udayRage/rasterMiner.git
        
        5. Execute the rasterMiner code by typing the following command
        
               python rasterMiner/rasterMiner/GUI/rasterMiner.py
               
               
        ### Execution of rasterMiner
               
        1. Execute the following command to open the GUI:
        
               python rasterMiner/rasterMiner/GUI/rasterMiner.py
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5
Description-Content-Type: text/markdown
