Metadata-Version: 2.1
Name: multiresolutionfit
Version: 1.0.0
Summary: Multi Resolution Fit.
Home-page: https://github.com/duducosmos/multiresolutionfit
Author: Eduardo S. Pereira
Author-email: pereira.somoza@gmail.com
License: Apache License 2.0
Description: # Multiple Resolution Goodness of Fit.
        
        The thesis of [cuevs2013]_ is that:
        
            "... there is no one 'proper' resolution, but rather a range of
                 resolutions is necessary to adequately describe the fit of
                 models with reality."
        
        
        ## Usage
        ```python
        #!/usr/bin/env python3
        # -*- Coding: UTF-8 -*-
        """
        Example from [costanza89]_.
        
        References
        ----------
        
        .. [costanza89] COSTANZA, Robert. Model goodness of fit: a multiple resolution
                         procedure. Ecological modelling, v. 47, n. 3-4,
                         p. 199-215, 1989.
        """
        from multiresolutionfit import Multiresoutionfit
        from numpy import  arange, array
        from numpy.random import randint
        import matplotlib.pyplot as plt
        
        scene1 = array([[1, 1, 1, 1, 2, 2, 2, 3, 3, 3],
                        [1, 1, 1, 2, 2, 2, 3, 3, 3, 3],
                        [1, 1, 2, 2, 2, 3, 3, 3, 3, 3],
                        [3, 3, 2, 2, 3, 3, 3, 3, 3, 3],
                        [1, 3, 3, 3, 3, 3, 3, 3, 3, 3],
                        [1, 1, 1, 3, 3, 3, 3, 3, 3, 3],
                        [2, 2, 2, 2, 2, 2, 2, 2, 3, 3],
                        [3, 3, 3, 3, 3, 3, 3, 3, 3, 3],
                        [3, 3, 3, 3, 2, 2, 3, 3, 3, 3],
                        [3, 3, 3, 3, 2, 2, 2, 2, 3, 3]
                        ])
        
        scene2 = array([[1, 1, 2, 2, 2, 2, 2, 2, 3, 3],
                        [1, 1, 1, 1, 2, 3, 3, 3, 3, 3],
                        [1, 1, 1, 2, 3, 3, 3, 3, 3, 3],
                        [3, 1, 2, 2, 3, 3, 3, 4, 4, 4],
                        [3, 3, 3, 3, 3, 3, 3, 3, 3, 3],
                        [1, 1, 1, 3, 3, 3, 3, 3, 3, 3],
                        [1, 1, 2, 2, 2, 2, 2, 2, 3, 3],
                        [1, 2, 2, 3, 3, 2, 2, 3, 3, 3],
                        [3, 3, 3, 3, 2, 2, 2, 3, 3, 3],
                        [3, 3, 3, 3, 2, 2, 2, 2, 3, 3]
                        ])
        
        
        obj = Multiresoutionfit(scene1, scene2, verbose=True)
        MAXW = 10
        k = 0.1
        wins = arange(1, 11, 1, dtype=int)
        ftot, fw, wins = obj.ft(k=k, wins=wins)
        print(f"\nWeighted fit: {ftot:.2f}\n")
        z, fit = obj.zvalue(k=k, wins=wins, permutations=30)
        print(f"z value {z:.2f}.")
        plt.plot(wins, fw, marker='D')
        plt.xticks(wins)
        plt.ylim(ymax=0.95, ymin=0.75)
        plt.xlim(xmax=MAXW, xmin=1)
        plt.grid(True)
        plt.show()
        ```
        
        ## References
        ----------
        
        COSTANZA, Robert. Model goodness of fit: a multiple resolution
        procedure. Ecological modelling, v. 47, n. 3-4,
        p. 199-215, 1989.
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
