Tales Lucas — TalesMd.Tech
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murlog - murlog-xserver.alarky.dev
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Herd Mercadeo – AgHerd
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Neil Mercer – cryptocurrencies
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I was interested in finding walkable areas in a city I had never visited before. After using OpenClaw bot to summarize my JSON files, I thought I could do the same for OSM-based metrics.
I started by generating an OSM extract with a 5km radius from my hotel. I then extracted the geometry and tags for every way, park, building, and tourist attraction in this area. I normalized the raw data into a handful of generic classes like “Food & Café” and “Nature / Quiet.”
I then assigned each way and point of interest to an H3 hexagon. I calculated aggregate metrics for each hexagon, like the length of roads and the area taken up by parks and water. Then I simply fed the metrics for the hexagon to Ollama with Mistral Nemo, asking it to generate a short one-sentence vibe of a place based on the collected metrics and label it as positive, negative, or mixed.
To visualize the results, I created a KML file and imported it into Google My Maps. I had to iterate on the LLM prompts, as there are a lot of fields in the generated JSON and the LLM struggles to interpret what the numbers mean.
I also discovered a number of bugs in how I calculate features per H3 hexagon, but I eventually arrived at a reasonable overlay showing how walkable each area is. It’s not perfect — partly because OSM data is incomplete for the area I picked, and partly because I need to make my prompts more specific.
The recommendations are generic, but they add an extra dimension to the map. I think this is really exciting because you can create any perspective you like on OSM data with your own overlays for driving, finding a house, or finding a place to eat.
I started by generating an OSM extract with a 5km radius from my hotel. I then extracted the geometry and tags for every way, park, building, and tourist attraction in this area. I normalized the raw data into a handful of generic classes like “Food & Café” and “Nature / Quiet.”
I then assigned each way and point of interest to an H3 hexagon. I calculated aggregate metrics for each hexagon, like the length of roads and the area taken up by parks and water. Then I simply fed the metrics for the hexagon to Ollama with Mistral Nemo, asking it to generate a short one-sentence vibe of a place based on the collected metrics and label it as positive, negative, or mixed.
To visualize the results, I created a KML file and imported it into Google My Maps. I had to iterate on the LLM prompts, as there are a lot of fields in the generated JSON and the LLM struggles to interpret what the numbers mean.
I also discovered a number of bugs in how I calculate features per H3 hexagon, but I eventually arrived at a reasonable overlay showing how walkable each area is. It’s not perfect — partly because OSM data is incomplete for the area I picked, and partly because I need to make my prompts more specific.
The recommendations are generic, but they add an extra dimension to the map. I think this is really exciting because you can create any perspective you like on OSM data with your own overlays for driving, finding a house, or finding a place to eat.
Wayfaring – An eclectic mix of poetry, stories and musings
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My Beautiful Laundrette
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Hallo allerseits,
ich bin dabei, in Südfrankreich in einem Waldgebiet neue Wege zu kartieren. Die Wegpunkte habe ich mir als GPS- bzw. UTM31-Koordinaten notiert. Aber um sie auf der OSM-Karte an der richtigen Stelle einzutragen, bräuchte ich eine Karte mit Gitternetzlinien (am besten im Abstand von ca. 10-100m). Wie geht das? Danke! Martin
ich bin dabei, in Südfrankreich in einem Waldgebiet neue Wege zu kartieren. Die Wegpunkte habe ich mir als GPS- bzw. UTM31-Koordinaten notiert. Aber um sie auf der OSM-Karte an der richtigen Stelle einzutragen, bräuchte ich eine Karte mit Gitternetzlinien (am besten im Abstand von ca. 10-100m). Wie geht das? Danke! Martin
Mr.OBBO KEZEKIA HOPE – Personal tale.
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Diário Mãe Ativa – Bem-vinda ao Diário Mãe Ativa! Sou Camila Barros e aqui compartilho minha rotina real de emagrecimento, treinos rápidos e saúde mental após a maternidade.
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Linarxiste
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MAPPE nel sistema dei SERVIZI alla persona e alla comunità, a cura di Paolo Ferrario – “Lungo la storia dell’Occidente varieranno i rimedi, ma rimarrà costante sia l’essenza del dolore, sia la volontà di trovare rimedio al dolore”, Emanuele Severino, Il giogo, Adelphi editore, 1989
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Roofing Cleveland Oh – Cleveland’s top-ratedfor residential and commercial repairs, replacements, and 24/7 emergency services. Licensed, insured, and built to last.
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denktlaut – Texte aus dem Dazwischen – Gedanken, Geschichten, Beobachtungen
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Web De Urko Rivera – Página Web de la asignatura TIC I
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Ghosts of the Diamond
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DecentM's PeerTube
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At the suggestion of a friend, I decided to install StreetComlete and give OpenStreetMaps a try. I’ll be adding data as walk and bike and hike around the area.
Sustainability Skills Academy
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TailSpace Social
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meowstodon
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Sailorpunisher
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Jeremy Cherfas
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wordpress
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Italian Shed – Carb up, live life later.
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biosphaere.ruhr -
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mastodon
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sukhi-fedi — NodeInfo viewer
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Welcome to now.ello.top
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Dads, they're everywhere.
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Call Theory
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mastodon.netzwissen.de
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005127
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From February 21th to April 23th I spend 192 extra hours on iD and iD tagging schema, thanks to funding from OpenStreetMap Foundation. This grant is now complete and I want to report on progress made thanks to it.
Welcometoindia.com
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wordpress
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