Martijn van Exel

I am not the first poor soul to attempt this, nor will I be the last: mapping OpenStreetMap features to a sensible POI classification scheme.

OpenStreetMap (OSM) data comes to you unfiltered, raw.

I wrote about What The Quad, a little tool I wrote to quickly get relevant, copyable information about a map tile, in a previous post.

I updated the Meet Your Mappers tool to version 1.2.

Non-geospatial post alert!

If you are interested in custom OSM data quality analysis with actionable results that can be used to engage the OSM mapping community, or guide your own teams to solve specific quality issues you care about for your use case, you can hire me!

These are the slides and cleaned up speaker notes for my lightning talk about the Meet Your Mappers tool at State Of The Map U.S. in Boston.

I have presented on MapRoulette quite a few times over the years.

This tutorial demonstrates how to tag turn lanes in OpenStreetMap using JOSM.

I organize a monthly Map Night for OSM enthusiasts in Salt Lake City.

As an active OpenStreetMap (OSM) contributor, I often find myself switching between various OSM-related tools while mapping.

I spent too much time today on tweaking my Obsidian daily note template.

I have been using Obsidian for note-taking for a while now.

I’m looking to improve my front-end / full stack development skills.

The OSM map gets denser and denser as more people contribute to the map.

Quadkeys are Bing Maps’s way of subdividing a Web Mercator map of the world into tiles.

On a fresh Linux Mint install, JOSM, the Java OpenStreetMap Editor, is not installed by default.

I’ve been looking into a way to visualize the quality of pedestrian mapping in OSM.

This post is a follow-up on my series on GoPro Max panoramic imagery capture for Mapillary.

Recently, I wrote and published Resto-Bot, a Mastodon bot that toots about a restaurant POI from OpenStreetMap that has not been updated for more that 5 years.

I posted a couple of days ago about my first captures with the GoPro MAX camera I have on loan and uploading to Mapillary.

I have always been excited about the opportunities open street level imagery (SLI) offers to OSM.

I was doing my usual overthinking on something meaningless earlier so I decided to replace my previous motiv (short for “Letter sized motivational poster with no images”) with this fresh one: I’m not too happy with Google Docs’ complete ignorance about pr…

Update: The bookmarklets are updated for the new 2.0 version I’ve been testing the latest alpha version of the RapiD editor.

We went to Hawai’i for a week over the holiday break.

This is a cross-post from my OpenStreetMap Diary RapiD is an alternative to the OpenStreetMap iD editor that adds the ability to easily add data from approved external sources to OSM.

We went to visit my in-laws this weekend.

Twitter has gotten a bit overwhelming.

I purchased a Lenovo X220 laptop back in 2011, shortly after we first moved to the United States.

In the past three hours I have Caught up with my Twitter feed Looked into food waste percentage by country (it’s complicated) Organized a new Meetup for my Remote Workers Lunch Hour Started a technical design document for work Caught up on work chatter Wo…

I love it when more than one of my hobbies come together in a small, contained project.

I had had suspicions for a while that my Fujifilm X100f has image quality issues when using wide apertures (f/4 and wider).

I am reposting selected posts from my old blog below.

Microsoft released a machine-generated dataset of building footprints for the United States some years ago.

Back Story: 1994 - 2021 Back in 1994-5, a friend of a friend quit band life, and was selling his 1978 Fender Rhodes Mark 1.

You are looking at the second of a 2-part blog post exploring how to extract useful information out of OSM data using python and PyOsmium.

You are looking at the first of a 2-part blog post exploring how to extract useful information out of OSM data using python and PyOsmium.

Happy new year!

Update 2022: I can’t find the collection described in this blog post on Flickr Commons any longer.

With everyone at home and most in person events canceled, I wanted to find a new way to get together with my local OpenStreetMap mapping friends here in Salt Lake City.

Taken near Tooele, UT.

I am taking a Creative Nonfiction writing class.

I wrote a how-to recently on “Cleaning up” after the OpenStreetMap TIGER import.

I am really proud of how far MapRoulette has come.

It hasn’t been that long since we moved to this town, this new country.

I’ve been working on a new version of the TIGER Battlegrid, but haven’t had a lot of time to make progress lately, so in the mean time I’ve been thinking about quick ways to help mappers clean up after TIGER.

When I first started taking photos, the results would be unpredictable and, on top of that, immutable after releasing the shutter.

In a previous post, I talked about a new MapRoulette challenge to help identify surface parking lots that need more detailed mapping of roads and aisles within the lot.

My original attempts at making granola date back 2.5 years.