{ "cells": [ { "cell_type": "markdown", "id": "0266e4f3-1b5e-4910-acf9-80be9f336ef2", "metadata": {}, "source": [ "# Spatial tools" ] }, { "cell_type": "markdown", "id": "c0e29fe3-9e5e-48bb-851c-fb5019ae0cb7", "metadata": {}, "source": [ "## Urban informatics and geospatial solutions\n", "\n", "### ActivitySpace Tools\n", "An open-source Python library for modeling and analyzing PPGIS data, supporting activity space modeling, mobility analysis, and environmental exposure estimation. \n", "[Documentation](https://activity-space-tools.readthedocs.io/en/latest/)\n", "\n", "### Helsinki Travel Time Matrix Explorer\n", "An open-source web application for exploring, visualizing, and downloading travel time accessibility data from the Helsinki region. \n", "[Access here](http://128.214.254.111/)\n", "\n", "### IASM – Individualized Activity Space Modeler\n", "An ArcGIS toolbox for creating individualized activity space models to support spatial analysis of human mobility and environmental exposure. \n", "[Read more](https://doi.org/10.1016/j.softx.2018.04.005)\n", "\n", "### Synthetic PPGIS Data Generator\n", "A machine learning–based method for generating realistic synthetic 2D and 3D PPGIS datasets for research and testing purposes. \n", "[Read more](https://doi.org/10.1016/j.mex.2022.101871)\n", "\n", "### Urban Data Anonymizer\n", "A context-aware algorithm for anonymizing sensitive PPGIS data while preserving spatial and analytical quality. \n", "[Read more](https://doi.org/10.1016/j.compenvurbsys.2020.101513)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.19" } }, "nbformat": 4, "nbformat_minor": 5 }