𝗡𝗲𝘄 𝗳𝗲𝗮𝘁𝘂𝗿𝗲 𝗶𝗻 𝗼𝗵𝘀𝗼𝗺𝗲𝗡𝗼𝘄 𝗦𝘁𝗮𝘁𝘀: 𝗛𝟯 𝗵𝗲𝘅𝗮𝗴𝗼𝗻 𝗺𝗮𝗽𝘀 𝗮𝘁 𝗵𝗶𝗴𝗵 𝗮𝗻𝗱 𝗹𝗼𝘄 𝗿𝗲𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻

With the new release, we have integrated H3 hexagon grids for a more accurate, multi-resolution view of where mapping happens within countries.
Another feature is Power Grid Mapping to track contributions related to electrical infrastructure, which is relevant for humanitarian mapping and development planning.

Read more: https://heigit.org/another-milestone-for-ohsomenow-h3-hexagon-maps-at-high-and-low-resolution/

#ohsome #OpenStreetMap #OSM

20250518 #3 17.44 WIB
138/365 Days 12,814

“evil are not born, they are made.”

#OhSome #Pose #Male #Model #Asian #LippoMallNusantara #Jakarta #Indonesia #Iphone #ShootOnIphone #IOS #Sunday #May #18th #2025

🎉❗ We have just released 𝗼𝗵𝘀𝗼𝗺𝗲-𝗽𝗹𝗮𝗻𝗲𝘁, a new software library on GitHub that facilitates the transformation of raw OpenStreetMap history data into the 𝗚𝗲𝗼𝗣𝗮𝗿𝗾𝘂𝗲𝘁 format, making it more accessible and efficient for spatial data analysis.
With ohsome-planet, we make a big step toward the development of 𝗼𝗵𝘀𝗼𝗺𝗲 𝟮.𝟬.

📰 A short read on what ohsome-planet can do: https://heigit.org/first-release-of-ohsome-planet-osm-history-data-in-geoparquet-format-2/
👩🏻‍💻 The ohsome-planet software library: https://github.com/GIScience/ohsome-planet/releases/tag/1.0.0

#GitHub #OpenStreetMap #ohsome #GeoParquet

We have recently expanded the #ohsome Quality API and its dashboard, introducing a new indicator to assess attribute completeness in #OpenStreetMap.

We now add new options to the Attribute Completeness Indicator:
▫️ Multi-Attribute Queries: Check completeness for multiple attributes at once.
▫️ Custom Attribute Filters: define key-value combos with “and” / “or” logic.

📰 more info: https://heigit.org/ohsome-quality-api-enhancements-for-the-attribute-completeness-indicator/
📊 ohsome dashboard: https://dashboard.ohsome.org/
🛠️ ohsome quality API: https://github.com/GIScience/ohsome-quality-api

🗺️📊 Curious about the impact of OpenStreetMap usage?

We selected some metrics on #ohsome tools and the impact of #OpenStreetMap (#OSM) in 2024.
From building data coverage to the number of API requests, these figures showcase the scale of OSM use and the analytics capabilities of ohsome.

ℹ️ With the ohsome dashboard, users can analyze OSM’s full-history data without programming skills.
Explore the dashboard: https://dashboard.ohsome.org/

#OpenData #geospatial

#30DayMapChallenge Day 20:

🛣️ How up-to-date is road data in #OpenStreetMap?

This map shows the recency (“currentness”) of edits to #OSM road data in urban centers around the world.

Currentness is a crucial factor in determining data quality. Higher values suggest more up-to-date areas, while lower values may indicate less reliable information.

The map was created using the #ohsome quality API (OQAPI): https://dashboard.ohsome.org/#backend=oqtApi&topic=roads&indicators=currentness

🗺️ Map by Benjamin Herfort, Lara De Simone, Jonas Danner

#30DayMapChallenge Day 18:

🏙️ Today´s map shows where building stock is located worldwide. It highlights a particularly high building density in East and Southeast Asia.

Benjamin Herfort & al. created this map and compared it with building data in #OpenStreetMap using #ohsome (https://dashboard.ohsome.org/). They analyzed building data completeness for 13,189 urban areas in #OSM, proposing solutions for the data gaps.

Read more:
📄 paper: https://doi.org/10.1038/s41467-023-39698-6
✏️blog: https://heigit.org/new-publication-in-nature-communication-on-the-unequal-distribution-of-building-data-in-osm/

I'm excited to [re]introduce [Overpass] Ultra: https://www.openstreetmap.org/user/dpschep/diary/405539

#OpenStreetMap #gis #maplibre #geojson #gpx #kml #tcx #qlever #sparql #wikidata #rdf #ohsome

cc @weeklyOSM @heigit