Metadata-Version: 2.1
Name: slipo-loci
Version: 0.1.2
Summary: A high-level library for analyzing Points and Areas of Interest
Home-page: https://github.com/SLIPO-EU/loci
Author: Panagiotis Kalampokis, Dimitris Skoutas
Author-email: pkalampokis@imis.athena-innovation.gr, dskoutas@imis.athena-innovation.gr
License: UNKNOWN
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: geopandas
Requires-Dist: shapely
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: folium
Requires-Dist: scikit-learn
Requires-Dist: hdbscan
Requires-Dist: scipy
Requires-Dist: networkx
Requires-Dist: wordcloud
Requires-Dist: pysal
Requires-Dist: pyLDAvis
Requires-Dist: mlxtend

## LOCI

#### Overview

LOCI 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:

- Create a GeoDataFrame from POI data in a CSV file.
- Display POIs on the map.
- Filter POIs by category or keywords.
- Compute and visualize statistics about POI categories or keywords.
- Generate word clouds from POI categories or keywords.
- Generate heatmaps from POI locations.
- Construct and visualize a grid structure over POI locations.
- Compute and visualize POI clusters using density-based clustering.
- Use LDA to extract and assign topics to clusters.
- Use of frequent itemset mining to discover frequent location sets.

#### Quick start

Please see the provided [notebooks](https://github.com/SLIPO-EU/loci/tree/master/notebooks).

#### Documentation

See [here](https://slipo-eu.github.io/loci/).

#### License

The contents of this project are licensed under the [Apache License 2.0](https://github.com/SLIPO-EU/loci/blob/master/LICENSE).


