marklit

10 ms·

151.
Canada's 14M Buildings(tech.marksblogg.com)
3 points by marklit 1y ago|1 comments
152.
F Prime – A flight software and embedded systems framework(fprime.jpl.nasa.gov)
3 points by marklit 1y ago|0 comments
153.
Homelab DSL [video](youtube.com)
1 points by marklit 1y ago|0 comments
154.
GeoTessera Python library released for geospatial embeddings(anil.recoil.org)
3 points by marklit 1y ago|0 comments
155.
Analysis-Ready OpenStreetMap(tech.marksblogg.com)
2 points by marklit 1y ago|0 comments
156.
Canada's 13M Buildings(tech.marksblogg.com)
1 points by marklit 1y ago|0 comments
157.
How to Use UMAP(umap-learn.readthedocs.io)
2 points by marklit 1y ago|0 comments
158.
by marklit 1y ago
I haven't done any deep dives into their road data but there was ~80 GB of it, mostly from TomTom, in the August release. I think the big question would be how much overlap there is with HERE and how would the metadata compare. TomTom
159.
by marklit 1y ago
Amazon, Esri, Grab, Hyundai, Meta, Microsoft, Precisely, Tripadvisor and TomTom, along with 10s of other businesses got together and offer OSM data in Parquet on S3 free of charge. You can query it surgically and run analytics on it needing
160.
by marklit 1y ago
> primary way to get a clean-ish OSM shapefile Shapefiles shouldn't be what you're after, Parquet can almost always do a better job unless you need to either edit something or use really advanced geometry not yet supported in P
161.
by marklit 1y ago
I suspect web apps that "query" the GPKG files. Parquet can be queried surgically, I'm not sure if there is a way to do the same with GPKG.
162.
Download responsibly(blog.geofabrik.de)
338 points by marklit 1y ago|258 comments
163.
Guide: Fundamentals of Synthetic Aperture Radar (SAR)(storymaps.arcgis.com)
2 points by marklit 1y ago|1 comments
164.
How to map the power grid in iD [video](youtube.com)
2 points by marklit 1y ago|0 comments
165.
Foursquare's Italian POIs Embeddings(github.com)
1 points by marklit 1y ago|0 comments
166.
How to detect and fix unmapped power infrastructure in OpenStreetMap [video](youtube.com)
2 points by marklit 1y ago|0 comments
167.
Parquet Content-Defined Chunking(huggingface.co)
10 points by marklit 1y ago|0 comments
168.
Source Cooperative(source.coop)
1 points by marklit 1y ago|0 comments
169.
The World's 2.75B Buildings(tech.marksblogg.com)
3 points by marklit 1y ago|0 comments
170.
Blender 5.0 (Alpha) Release Notes(developer.blender.org)
2 points by marklit 1y ago|0 comments
171.
How to map the electrical grid in JOSM(youtube.com)
3 points by marklit 1y ago|0 comments
172.
OmniCloudMask: Cloud and shadow segmentation for satellite imagery(github.com)
1 points by marklit 1y ago|0 comments
173.
Cloud-hosted and partitioned files best practices(github.com)
2 points by marklit 1y ago|0 comments
174.
SpaCy: Industrial-Strength Natural Language Processing (NLP) in Python(github.com)
135 points by marklit 1y ago|64 comments
175.
Indoor Mapping Data Format(docs.ogc.org)
1 points by marklit 1y ago|0 comments
176.
Parquet Content-Defined Chunking(huggingface.co)
1 points by marklit 1y ago|0 comments
177.
South Atlantic Anomaly(en.wikipedia.org)
4 points by marklit 1y ago|3 comments
178.
PyModeS: Python decoder for Mode S and ADS-B signals(github.com)
2 points by marklit 1y ago|0 comments
179.
Consider using Zstandard and/or LZ4 instead of Deflate(github.com)
191 points by marklit 1y ago|117 comments
180.
History of Mapping(maphappenings.com)
1 points by marklit 1y ago|0 comments

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