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AccessViz Mapper

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Topic:

AccessViz Mapper - A handy tool for mapping Accessibility Travel Times by different Transport Modes at Helsinki Region

Description:

AccessViz Mapper is a tool which can be deployed as a web app/desktop app. In this repository, the code can be found in a notebook which is rendered using Voila. Follow the instructions to make it work at your local disk by downloading the Repository. This tool was developed in the course AutoGIS by MSc student Bryan Vallejo. Accessviz mapper initial repo.

Guided tutorial:

How to make Travel-Time (accessibility) maps with accessviz-mapper

Packages needed

  • voila conda install -c conda-forge voila
  • ipywidgets conda install -c anaconda ipywidgets
  • folium
  • pyproj
  • geopandas
  • matplotlib
  • glob
  • os
  • numpy
  • contextily
  • mapclassify
  • osmnx conda install -c conda-forge osmnx
  • networkx
  • shapely

Structure of this repository:

  • Data In this you can find the base data to create map visualization. It contains sample data of YKR IDs with Travel Times so you can test the App without including all the data.

  • accessviz-mapper.ipynb Notebook which is deployed in Voila and includes all the code.

Default data:

Default data contains Travel Times data with code: 5816xxx, 5879xxx, 5916xxx, 5925xxx, 5933xxx, 5952xxx, 5963xxx. As a recommendation, use the sample data already in the repository. As an example, some existent YKR IDs are: 5963655, 5933038, 5816105.

Input data and note to download:

NOTE: After downloading the Repository in the Local Disk, unzip the data and include all the folders i.e. 5963xxx in the data/HelsinkiTravelTimeMatrix2018 folder.

Deploy instructions with Voila

  • Download/clone the repository in Local Disk
  • Open Anaconda command prompt
  • Be sure that you are using the environment where Voila is installed
  • Be sure that you are at the repository cd repository
  • Type voila accessviz-mapper.ipynb

This line will start a localhost with the Desktop App/Dashboard.

Results:

File Finder Table Joiner Visualizer Visualizer Map Comparison Comparison Map Shortest Path Shortest Path Explorer

References:

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