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Dewey Dunnington

Dewey Dunnington Add us as a preferred source on Google

Mastodon @paleolimbot@fosstodon.org
⚔ Compare ☆ Follow Own this channel?
🔄 Data last refreshed 11 days ago
Followers
464
Account age
3 yrs
🎁 Free analysisfor Dewey Dunnington
🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

Known for

I recently re-checked in on a post I wrote in 2024, where I spent days trying to optimize a point-in-polygon join with ~130 million points against all U.S. zipcodes. In 2024 the best I could come up with was a few minutes. In 2026, both SedonaDB and @duckdb spatial can both do it in seconds without any extra wrangling. You can even leave the files on the web server and it's still three times faste18 views I recently re-checked in on a post I wrote in 2024, where I spent days trying to optimize a point-in-polygon join with ~130 million points against all U.S. zipcodes. In 2024 the best I could come up with was a few minutes. In 2026, both SedonaDB and @duckdb spatial can both do it in seconds without any extra wrangling. You can even leave the files on the web server and it's still three times faste We're excited to announce a new release of SedonaDB, and this one is a big one! Between native DataFrame APIs in Python and R, a brand new Geography implementation, GPU accelerated joins, and a raster/ND-array foundation, it's hard to know where to start.7 views We're excited to announce a new release of SedonaDB, and this one is a big one! Between native DataFrame APIs in Python and R, a brand new Geography implementation, GPU accelerated joins, and a raster/ND-array foundation, it's hard to know where to start. ...and, of course, we didn't leave out #rstats. The 0.4.0 release features the sdplyr R package, which provides a dplyr interface covering the basic subset of transformations (including spatial joins!). Like Python, our 170+ ST_ and RS_ functions have inline documentation via the generated sedonafns package.3 views ...and, of course, we didn't leave out #rstats. The 0.4.0 release features the sdplyr R package, which provides a dplyr interface covering the basic subset of transformations (including spatial joins!). Like Python, our 170+ ST_ and RS_ functions have inline documentation via the generated sedonafns package. While we had some initial support from our first release, in 0.4.0 we rewrote the geography implementation to ensure full support throughout the engine, including Parquet pruning, statistics, and spatial joins. Buffers, within distance joins, and interpolation of points along the shortest geographical path should now be easy and performant!2 views While we had some initial support from our first release, in 0.4.0 we rewrote the geography implementation to ensure full support throughout the engine, including Parquet pruning, statistics, and spatial joins. Buffers, within distance joins, and interpolation of points along the shortest geographical path should now be easy and performant!

📊 Post engagement

Recent posts · likes + reposts
Apr 7latest
4
Avg engagement / post
2–3
Typical post (engagement)
0.9%
Engagement vs followers
44/100
Variable reach
Nov 2022
On Mastodon since
Half of recent posts land between 2 and 3 likes + reposts (median 2) — reach is spiky, driven by the occasional post that pops.

🔥 Top post: I recently re-checked in on a post I wrote in 2024, where I spen · 18 likes + reposts

📊 Activity & format

Posting cadence
0.48 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 2 text · 10 image · 0 video.
Follower / following
3.7×
Follows 124 back. A more reciprocal / networked account.

Recent posts

View on Mastodon ↗
🔥 Top post I recently re-checked in on a post I wrote in 2024, where I spent days trying to optimize a point-in-polygon join with ~130 million points against all U.S. zipcodes. In 2024 the best I could come up with was a few minutes. In 2026, both SedonaDB and @duckdb spatial can both do i… ★ 18
Excited to be talking Apache SedonaDB at Cloud-Native Geospatial Forum (CNG) forum next week, and even more excited to connect with the spatial community in person for the first time in a while. If you're attending let me know and make sur… For the full story, check out our release post! https://sedona.apache.org/latest/blog/2026/06/19/sedonadb-040-release/ ★ 2 Finally, we've laid a foundation for raster, Zarr, and ND-array functionality primarily by @gdal ! SedonaDB 0.4.0 includes basic metadata and load operations, and we're exited to build on this with the community for our next release. ★ 1 This release features an accelerated join by Liang Geng, productionizing his research using RT cores on NVIDIA GPUs to adcelerate spatial joins. Compute-intensive joins can be many times faster when SedonaDB is built with this feature enab… ★ 1 While we had some initial support from our first release, in 0.4.0 we rewrote the geography implementation to ensure full support throughout the engine, including Parquet pruning, statistics, and spatial joins. Buffers, within distance joi… ★ 2 ...and, of course, we didn't leave out #rstats. The 0.4.0 release features the sdplyr R package, which provides a dplyr interface covering the basic subset of transformations (including spatial joins!). Like Python, our 170+ ST_ and RS_ fu… ★ 3 After writing the last releast post, I mentioned to my colleagues that it would be the last one where I show off the amazing capabilities of our engine with clunky SQL. I'm proud to share that we made this happen! You can now .select(), .f… ★ 2 ...or maybe not that hard, since you'll have to install it to get going. We're excited to have a contributed conda-forge package to make it easier for conda users to integrate SedonaDB into their workflows. ★ 2 We're excited to announce a new release of SedonaDB, and this one is a big one! Between native DataFrame APIs in Python and R, a brand new Geography implementation, GPU accelerated joins, and a raster/ND-array foundation, it's hard to know… ★ 7 Epilogue: s2geography will be returning POINT EMPTY here. I hope this will bring somebody joy. ★ 2 Today is one of those days where I wonder what has become of my life #gischat ★ 2

🐘 Community & instance

Home server
fosstodon.org
A open-source software server — its members and audience skew toward that niche, so expect a community-aligned, engaged following.
On Mastodon since
Nov 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.

💡 Facts

🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 4 views per post.
📤Posts about 0.5× per week.

🕵️ Fake follower check

Estimated
43/100
Fair Credibility score
73%
Mixed Real audience
Medium Fake-follower risk
High Data confidence
  • Est. 73% real, active audience · Medium fake-follower risk.
  • Low engagement (~0.9% of followers engage each post) — a sign of an inflated or inactive audience.
  • Established account (3+ years old).

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Scaling spatial computing at Wherobots, Inc. #rstats, #ApacheArrow PMC, #gischat, ex Voltron Data

📸 Gallery

Excited to be talking Apache SedonaDB at Cloud-Native Geospatial Forum (CNG) forum next week, and even more excited to connect with the spatial community in person for the first time in a while. If you're attending let me know and make sure we connect! Finally, we've laid a foundation for raster, Zarr, and ND-array functionality primarily by @gdal ! SedonaDB 0.4.0 includes basic metadata and load operations, and we're exited to build on this with the community for our next release. This release features an accelerated join by Liang Geng, productionizing his research using RT cores on NVIDIA GPUs to adcelerate spatial joins. Compute-intensive joins can be many times faster when SedonaDB is built with this feature enabled! While we had some initial support from our first release, in 0.4.0 we rewrote the geography implementation to ensure full support throughout the engine, including Parquet pruning, statistics, and spatial joins. Buffers, within distance joins, and interpolation of points along the shortest geographical path should now be easy and performant! ...and, of course, we didn't leave out #rstats. The 0.4.0 release features the sdplyr R package, which provides a dplyr interface covering the basic subset of transformations (including spatial joins!). Like Python, our 170+ ST_ and RS_ functions have inline documentation via the generated sedonafns package. After writing the last releast post, I mentioned to my colleagues that it would be the last one where I show off the amazing capabilities of our engine with clunky SQL. I'm proud to share that we made this happen! You can now .select(), .filter(), .group_by(), .agg(), and .sort() your Python DataFrames with inline documentation/completion for our 170+ spatial functions in your favourite IDE/notebo ...or maybe not that hard, since you'll have to install it to get going. We're excited to have a contributed conda-forge package to make it easier for conda users to integrate SedonaDB into their workflows. We're excited to announce a new release of SedonaDB, and this one is a big one! Between native DataFrame APIs in Python and R, a brand new Geography implementation, GPU accelerated joins, and a raster/ND-array foundation, it's hard to know where to start.

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

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