{ "info": { "author": "Panagiotis Kalampokis, Dimitris Skoutas", "author_email": "pkalampokis@imis.athena-innovation.gr, dskoutas@imis.athena-innovation.gr", "bugtrack_url": null, "classifiers": [], "description": "## LOCI\n\n#### Overview\n\nLOCI is a Python library providing high-level functions for exploring, mining and visualizing Points and Areas of Interest. It is under ongoing development. It currently supports the following functionalities:\n\n- Create a GeoDataFrame from POI data in a CSV file.\n- Display POIs on the map.\n- Filter POIs by category or keywords.\n- Compute and visualize statistics about POI categories or keywords.\n- Generate word clouds from POI categories or keywords.\n- Generate heatmaps from POI locations.\n- Construct and visualize a grid structure over POI locations.\n- Compute and visualize POI clusters using density-based clustering.\n- Use LDA to extract and assign topics to clusters.\n- Use of frequent itemset mining to discover frequent location sets.\n\n#### Quick start\n\nPlease see the provided [notebooks](https://github.com/SLIPO-EU/loci/tree/master/notebooks).\n\n#### Documentation\n\nSee [here](https://slipo-eu.github.io/loci/).\n\n#### License\n\nThe contents of this project are licensed under the [Apache License 2.0](https://github.com/SLIPO-EU/loci/blob/master/LICENSE).\n\n\n", "description_content_type": "text/markdown", "docs_url": 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