{ "info": { "author": "Matheus Boni Vicari", "author_email": "matheus.boni.vicari@gmail.com", "bugtrack_url": null, "classifiers": [ "Programming Language :: Python", "Topic :: Scientific/Engineering" ], "description": "tinfiltering\n============\n\nThis is the tinfiltering package, created to perform the automated filtering of 2D data points, based on the edges distance distribution of a Delaunay triangulation.\n\nThe methodology upon which this package is based on the initial steps of the algorithm proposed by Yang and Cui (2010) in the paper \"A Novel Spatial Clustering Algorithm Based on Delaunay Triangulation\".\n\nThis package was developed while in my PhD research in the Department of Geography at University College London, supervised by Dr Mat Disney (Earth Observation/Remote Sensing).\n\nIf you have any problem, question or suggestion, please, don't hesitate to contact the author.\n\n\nUsage as module\n---------------\n\n\t>>> import tinfiltering\n\t>>> tinfiltering.apply_filter(x, y)\n\n\n\nParameters\n''''''''''\n x, y: list or numpy.ndarray\n\tCoordinates for the set of points to be filtered.\n\nReturns\n'''''''\n out_points: 2D numpy.ndarray\n\tCoordinates for the filtered set of points.\n\nRaises\n''''''\n ValueError\n If input is in the wrong shape (the shapes of x and y should match).\n TypeError\n If the input is of the wrong type (the inputs must be a 1-D array or\n list)\n\n\nUsage in console\n----------------\n\n\t>>> tinfiltering in_filename out_filename\n\nParameters\n''''''''''\n in_filename: str\n Name of the file containing the numpy array point data to be\n filtered.\n out_filename: str\n Name of the file to save the numpy array of filtered point data.\n\n\nPackages\n========\n\n* tinfiltering\n* tinfiltering.test\n* tinfiltering.tin\n* Version 0.1.4\n\nDependencies\n============\n\n* numpy\n* scipy\n\nAuthor\n======\n\n* Matheus Boni Vicari (@matt_bv)\n\nWho do I talk to?\n-----------------\n\n* Matheus Boni Vicari (matheus.boni.vicari@gmail.com or matheus.vicari.15@ucl.ac.uk)\n\n\nReferences\n==========\n\n .. [1] X. Yang and W. 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