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        "author": "Eduardo S. Pereira",
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        "description": "# Multiple Resolution Goodness of Fit.\n\nThe thesis of [cuevs2013]_ is that:\n\n    \"... there is no one 'proper' resolution, but rather a range of\n         resolutions is necessary to adequately describe the fit of\n         models with reality.\"\n\n\n## Usage\n```python\n#!/usr/bin/env python3\n# -*- Coding: UTF-8 -*-\n\"\"\"\nExample from [costanza89]_.\n\nReferences\n----------\n\n.. [costanza89] COSTANZA, Robert. Model goodness of fit: a multiple resolution\n                 procedure. Ecological modelling, v. 47, n. 3-4,\n                 p. 199-215, 1989.\n\"\"\"\nfrom multiresolutionfit import Multiresoutionfit\nfrom numpy import  arange, array\nfrom numpy.random import randint\nimport matplotlib.pyplot as plt\n\nscene1 = array([[1, 1, 1, 1, 2, 2, 2, 3, 3, 3],\n                [1, 1, 1, 2, 2, 2, 3, 3, 3, 3],\n                [1, 1, 2, 2, 2, 3, 3, 3, 3, 3],\n                [3, 3, 2, 2, 3, 3, 3, 3, 3, 3],\n                [1, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n                [1, 1, 1, 3, 3, 3, 3, 3, 3, 3],\n                [2, 2, 2, 2, 2, 2, 2, 2, 3, 3],\n                [3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n                [3, 3, 3, 3, 2, 2, 3, 3, 3, 3],\n                [3, 3, 3, 3, 2, 2, 2, 2, 3, 3]\n                ])\n\nscene2 = array([[1, 1, 2, 2, 2, 2, 2, 2, 3, 3],\n                [1, 1, 1, 1, 2, 3, 3, 3, 3, 3],\n                [1, 1, 1, 2, 3, 3, 3, 3, 3, 3],\n                [3, 1, 2, 2, 3, 3, 3, 4, 4, 4],\n                [3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n                [1, 1, 1, 3, 3, 3, 3, 3, 3, 3],\n                [1, 1, 2, 2, 2, 2, 2, 2, 3, 3],\n                [1, 2, 2, 3, 3, 2, 2, 3, 3, 3],\n                [3, 3, 3, 3, 2, 2, 2, 3, 3, 3],\n                [3, 3, 3, 3, 2, 2, 2, 2, 3, 3]\n                ])\n\n\nobj = Multiresoutionfit(scene1, scene2, verbose=True)\nMAXW = 10\nk = 0.1\nwins = arange(1, 11, 1, dtype=int)\nftot, fw, wins = obj.ft(k=k, wins=wins)\nprint(f\"\\nWeighted fit: {ftot:.2f}\\n\")\nz, fit = obj.zvalue(k=k, wins=wins, permutations=30)\nprint(f\"z value {z:.2f}.\")\nplt.plot(wins, fw, marker='D')\nplt.xticks(wins)\nplt.ylim(ymax=0.95, ymin=0.75)\nplt.xlim(xmax=MAXW, xmin=1)\nplt.grid(True)\nplt.show()\n```\n\n## References\n----------\n\nCOSTANZA, Robert. Model goodness of fit: a multiple resolution\nprocedure. Ecological modelling, v. 47, n. 3-4,\np. 199-215, 1989.\n\n\n",
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