Working with spatial data in Julia

07/28/2023, 8:30 PM8:40 PM UTC
32-D463 (Star)


In this talk various Julia packages for processing spatial data coming from the Open Street Map (OSM) project will be presented. OSM is an excellent source of information about road system that can be explored by tools such as OpenStreetMapX.jl However, the OSM files also contain useful information points interests (restaurants, hotels, schools, stores etc.) that can be extracted and analyzed in Julia.


The OpenStreetMapX.jl package is capable of parsing *.osm and *pbf formatted data from the project. This data can subsequently utilized to extract information about city’s POIs (points of interest such as schools, hotels, restaurants, tourist attractions), measure actual distances, perform routing and build numerical simulation model that make it possible to understand dynamics of a city. A new package currently under development is aimed for mass extraction of various types of POI data from OSM files as DataFrame for further processing with other tools from Julian ecosystem. Additionally, OSM data contain links to other data sources such as Wikipedia and Wikimedia. This information can be processed in Julia and used for building various visualizations of attractiveness of urban regions. This lightning talk will take a form of a Jupyter notebook with a life demo of various processing patterns for spatial data. The development of OSMToolset.jl was funded in whole by National Science Centre, Poland grant number 2021/41/B/HS4/03349. Presentation of this tutorial has been supported by the Polish National Agency for Academic Exchange under the Strategic Partnerships programme, grant number BPI/PST/2021/1/00069/U/00001

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Pumas AIQuEra Computing Inc.Relational AIJeffrey Sarnoff

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Jolin.ioBeacon BiosignalsMIT CSAILBoeing

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