Search
51 results for “paleolimbot”
-
@paleolimbot definitely ended up in the wrong dimension
-
It's been a pleasure contributing to the "Spatial Data Science Languages" preprint spear-headed by @edzer together with @martinfleis @paleolimbot @robinlovelace @nowosad @josi @loreabad6
https://fosstodon.org/@martinfleis/114261790590024080 -
It's been a pleasure contributing to the "Spatial Data Science Languages" preprint spear-headed by @edzer together with @martinfleis @paleolimbot @robinlovelace @nowosad @josi @loreabad6
https://fosstodon.org/@martinfleis/114261790590024080 -
It's been a pleasure contributing to the "Spatial Data Science Languages" preprint spear-headed by @edzer together with @martinfleis @paleolimbot @robinlovelace @nowosad @josi @loreabad6
https://fosstodon.org/@martinfleis/114261790590024080 -
It's been a pleasure contributing to the "Spatial Data Science Languages" preprint spear-headed by @edzer together with @martinfleis @paleolimbot @robinlovelace @nowosad @josi @loreabad6
https://fosstodon.org/@martinfleis/114261790590024080 -
For Day 24 of the #30DayMapChallenege it's Place Names, so obviously I had to plot all of the "Mud Lake"s of Nova Scotia I could find! Here I use the SedonaDB R bindings because I use the #RStats packages ggplot2, ggspatial, ggrepel, and patchwork for the cartography. The Nova Scotia boundary here is from Overture Maps Foundation "divisions" and I was pleased that interacting with it in R was just as snappy as in Python! https://dewey.dunnington.ca/post/2025/day-24-the-mud-lakes-of-nova-scotia/
-
For Day 24 of the #30DayMapChallenege it's Place Names, so obviously I had to plot all of the "Mud Lake"s of Nova Scotia I could find! Here I use the SedonaDB R bindings because I use the #RStats packages ggplot2, ggspatial, ggrepel, and patchwork for the cartography. The Nova Scotia boundary here is from Overture Maps Foundation "divisions" and I was pleased that interacting with it in R was just as snappy as in Python! https://dewey.dunnington.ca/post/2025/day-24-the-mud-lakes-of-nova-scotia/
-
For Day 24 of the #30DayMapChallenege it's Place Names, so obviously I had to plot all of the "Mud Lake"s of Nova Scotia I could find! Here I use the SedonaDB R bindings because I use the #RStats packages ggplot2, ggspatial, ggrepel, and patchwork for the cartography. The Nova Scotia boundary here is from Overture Maps Foundation "divisions" and I was pleased that interacting with it in R was just as snappy as in Python! https://dewey.dunnington.ca/post/2025/day-24-the-mud-lakes-of-nova-scotia/
-
For Day 24 of the #30DayMapChallenege it's Place Names, so obviously I had to plot all of the "Mud Lake"s of Nova Scotia I could find! Here I use the SedonaDB R bindings because I use the #RStats packages ggplot2, ggspatial, ggrepel, and patchwork for the cartography. The Nova Scotia boundary here is from Overture Maps Foundation "divisions" and I was pleased that interacting with it in R was just as snappy as in Python! https://dewey.dunnington.ca/post/2025/day-24-the-mud-lakes-of-nova-scotia/
-
For Day 24 of the #30DayMapChallenege it's Place Names, so obviously I had to plot all of the "Mud Lake"s of Nova Scotia I could find! Here I use the SedonaDB R bindings because I use the #RStats packages ggplot2, ggspatial, ggrepel, and patchwork for the cartography. The Nova Scotia boundary here is from Overture Maps Foundation "divisions" and I was pleased that interacting with it in R was just as snappy as in Python! https://dewey.dunnington.ca/post/2025/day-24-the-mud-lakes-of-nova-scotia/
-
Day 6 of the #30DayMapChallenege is Dimensions! Here I create a beautiful, clean space-time dataset with M values and a proper temporal CRS with SedonaDB...and then completely ignore it because I couldn't find a tool that can animate based on M values (let me know if there is one!). The data here are positions of floats from from the Argo ocean floats program (here roughly 2003 to 2025). Walkthrough in the comments! https://dewey.dunnington.ca/post/2025/day-6-dimensions/
-
Day 6 of the #30DayMapChallenege is Dimensions! Here I create a beautiful, clean space-time dataset with M values and a proper temporal CRS with SedonaDB...and then completely ignore it because I couldn't find a tool that can animate based on M values (let me know if there is one!). The data here are positions of floats from from the Argo ocean floats program (here roughly 2003 to 2025). Walkthrough in the comments! https://dewey.dunnington.ca/post/2025/day-6-dimensions/
-
Day 6 of the #30DayMapChallenege is Dimensions! Here I create a beautiful, clean space-time dataset with M values and a proper temporal CRS with SedonaDB...and then completely ignore it because I couldn't find a tool that can animate based on M values (let me know if there is one!). The data here are positions of floats from from the Argo ocean floats program (here roughly 2003 to 2025). Walkthrough in the comments! https://dewey.dunnington.ca/post/2025/day-6-dimensions/
-
Day 6 of the #30DayMapChallenege is Dimensions! Here I create a beautiful, clean space-time dataset with M values and a proper temporal CRS with SedonaDB...and then completely ignore it because I couldn't find a tool that can animate based on M values (let me know if there is one!). The data here are positions of floats from from the Argo ocean floats program (here roughly 2003 to 2025). Walkthrough in the comments! https://dewey.dunnington.ca/post/2025/day-6-dimensions/
-
Day 5 of the #30DayMapChallenege! In which I attempt simple LiDAR processing for the first time using SedonaDB. Behold...a high-resolution elevation map of what's under my feet in my hometown of Winnipeg, Manitoba. Getting the data here is an example of where Arrow shines...we don't have a built-in LAS reader yet but we can patch one in using a dozen lines of Python. Code + walk through in comments! https://dewey.dunnington.ca/post/2025/day-5-earth/
-
Day 5 of the #30DayMapChallenege! In which I attempt simple LiDAR processing for the first time using SedonaDB. Behold...a high-resolution elevation map of what's under my feet in my hometown of Winnipeg, Manitoba. Getting the data here is an example of where Arrow shines...we don't have a built-in LAS reader yet but we can patch one in using a dozen lines of Python. Code + walk through in comments! https://dewey.dunnington.ca/post/2025/day-5-earth/
-
Day 5 of the #30DayMapChallenege! In which I attempt simple LiDAR processing for the first time using SedonaDB. Behold...a high-resolution elevation map of what's under my feet in my hometown of Winnipeg, Manitoba. Getting the data here is an example of where Arrow shines...we don't have a built-in LAS reader yet but we can patch one in using a dozen lines of Python. Code + walk through in comments! https://dewey.dunnington.ca/post/2025/day-5-earth/
-
Day 5 of the #30DayMapChallenege! In which I attempt simple LiDAR processing for the first time using SedonaDB. Behold...a high-resolution elevation map of what's under my feet in my hometown of Winnipeg, Manitoba. Getting the data here is an example of where Arrow shines...we don't have a built-in LAS reader yet but we can patch one in using a dozen lines of Python. Code + walk through in comments! https://dewey.dunnington.ca/post/2025/day-5-earth/
-
Day 5 of the #30DayMapChallenege! In which I attempt simple LiDAR processing for the first time using SedonaDB. Behold...a high-resolution elevation map of what's under my feet in my hometown of Winnipeg, Manitoba. Getting the data here is an example of where Arrow shines...we don't have a built-in LAS reader yet but we can patch one in using a dozen lines of Python. Code + walk through in comments! https://dewey.dunnington.ca/post/2025/day-5-earth/
-
#30DayMapChallenege day two is lines! Here's an animated version of the stream traversal with SedonaDB post I made a few weeks ago but using the Gaspereau River, which drains Gaspereau Lake (featured in day one). https://dewey.dunnington.ca/post/2025/day-2-lines/
-
#30DayMapChallenege day two is lines! Here's an animated version of the stream traversal with SedonaDB post I made a few weeks ago but using the Gaspereau River, which drains Gaspereau Lake (featured in day one). https://dewey.dunnington.ca/post/2025/day-2-lines/
-
#30DayMapChallenege day two is lines! Here's an animated version of the stream traversal with SedonaDB post I made a few weeks ago but using the Gaspereau River, which drains Gaspereau Lake (featured in day one). https://dewey.dunnington.ca/post/2025/day-2-lines/
-
#30DayMapChallenege day two is lines! Here's an animated version of the stream traversal with SedonaDB post I made a few weeks ago but using the Gaspereau River, which drains Gaspereau Lake (featured in day one). https://dewey.dunnington.ca/post/2025/day-2-lines/
-
#30DayMapChallenege day two is lines! Here's an animated version of the stream traversal with SedonaDB post I made a few weeks ago but using the Gaspereau River, which drains Gaspereau Lake (featured in day one). https://dewey.dunnington.ca/post/2025/day-2-lines/
-
Day 1 of the #30DayMapChallenege is points! This one is entitled "Always Plot Your Test Data"...I've been using a dataset called ns-water_point for a long time without properly inspecting it. It turns out the points are almost all...
Rocks! They're pretty much all rocks. This one is a map of the rocks of Gaspereau Lake, Nova Scotia. If you've ever boated there you have probably run into one of them (I certainly have!). https://dewey.dunnington.ca/post/2025/day-1-points/
-
Day 1 of the #30DayMapChallenege is points! This one is entitled "Always Plot Your Test Data"...I've been using a dataset called ns-water_point for a long time without properly inspecting it. It turns out the points are almost all...
Rocks! They're pretty much all rocks. This one is a map of the rocks of Gaspereau Lake, Nova Scotia. If you've ever boated there you have probably run into one of them (I certainly have!). https://dewey.dunnington.ca/post/2025/day-1-points/
-
Day 1 of the #30DayMapChallenege is points! This one is entitled "Always Plot Your Test Data"...I've been using a dataset called ns-water_point for a long time without properly inspecting it. It turns out the points are almost all...
Rocks! They're pretty much all rocks. This one is a map of the rocks of Gaspereau Lake, Nova Scotia. If you've ever boated there you have probably run into one of them (I certainly have!). https://dewey.dunnington.ca/post/2025/day-1-points/
-
Day 1 of the #30DayMapChallenege is points! This one is entitled "Always Plot Your Test Data"...I've been using a dataset called ns-water_point for a long time without properly inspecting it. It turns out the points are almost all...
Rocks! They're pretty much all rocks. This one is a map of the rocks of Gaspereau Lake, Nova Scotia. If you've ever boated there you have probably run into one of them (I certainly have!). https://dewey.dunnington.ca/post/2025/day-1-points/
-
Day 1 of the #30DayMapChallenege is points! This one is entitled "Always Plot Your Test Data"...I've been using a dataset called ns-water_point for a long time without properly inspecting it. It turns out the points are almost all...
Rocks! They're pretty much all rocks. This one is a map of the rocks of Gaspereau Lake, Nova Scotia. If you've ever boated there you have probably run into one of them (I certainly have!). https://dewey.dunnington.ca/post/2025/day-1-points/
-
I'm aiming for a weekly Apache Sedona DB drop...this week's edition: wrangling some uncooperative input data into clean GeoParquet output using SedonaDB's excellent ApacheArrow interop. Bonus: learn about the postage stamps of farm field dotting the prairies are organized! #GISChat #ApacheArrow
https://dewey.dunnington.ca/post/2025/geodata-cleaning-with-arrow-and-sedonadb/