Advanced tools for spatial analysis on OpenStreetMap data?


I hope this message finds you well. I’ve been exploring OpenStreetMap data for spatial analysis purposes, and I’m particularly interested in advanced methods and tools for conducting various analyses. Specifically, I would like to know if there are any recommended approaches or specialized tools available for performing spatial analysis on OpenStreetMap data.

My main objectives are:

Identifying hotspots: I would like to identify areas with a high concentration of specific features or attributes, such as popular amenities or points of interest.

Analyzing accessibility: I’m interested in measuring and assessing the accessibility of different locations within a given region. This includes understanding factors like proximity to transportation networks, services, and facilities.

Conducting route optimization: I would like to optimize routing based on various criteria, such as shortest distance, fastest travel time, or considering specific user-defined constraints.

If you could provide me with insights, recommendations, or any available tools that can help me achieve these goals, I would greatly appreciate it. I’m eager to leverage the power of OpenStreetMap data for advanced spatial analysis.

Thank you very much for your time and assistance. I look forward to your response.

there are multiple ways …

1.) PostGIS

2.) You can use Postgis + PgRouting if you are interested in OSM routing topology, transportation networks.
* see the pgRouting Workshop : pgRouting Workshop — Workshop - FOSS4G 2022 Firenze - Routing with pgRouting
* example POI ( Hospital ) - served by roads …
* 3. Good Health and Well Being — Workshop - FOSS4G 2022 Firenze - Routing with pgRouting

3.) You can analyze OSM database with pyOsmium
some examples:

4.) Special routing engines: Valhalla , OSRM, …

Summary: Open Source Routing Engines And Algorithms - An Overview » GIS • OPS



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