#interpolation — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #interpolation, aggregated by home.social.
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Why don’t I get more info - especially when a #sample or #interpolation is used.
Here it is obvious because Vinicius de Moraes is credited.
I thought I heard something that reminded me of Aguas de Marco, but I’d like to be sure. -
Why don’t I get more info - especially when a #sample or #interpolation is used.
Here it is obvious because Vinicius de Moraes is credited.
I thought I heard something that reminded me of Aguas de Marco, but I’d like to be sure. -
Why don’t I get more info - especially when a #sample or #interpolation is used.
Here it is obvious because Vinicius de Moraes is credited.
I thought I heard something that reminded me of Aguas de Marco, but I’d like to be sure. -
Why don’t I get more info - especially when a #sample or #interpolation is used.
Here it is obvious because Vinicius de Moraes is credited.
I thought I heard something that reminded me of Aguas de Marco, but I’d like to be sure. -
Covers, interpolations, and “reimaginings” that mistake recognition for meaning. From Heart to Nine Inch Nails, a tour of pop songs that lost the plot—and the rare ones that actually earned the risk. Some covers reveal new truths. Most just tell you to buy the record.
#Pop #Criticism #MusicEssay #Covers #PopMusic #Songwriting #MusicTheory #CulturalCritique #Interpolation #MusicHistory #PopCulture
https://pablohoneyfish.wordpress.com/2026/01/08/the-semiotics-of-recognition-analytical-perspectives-on-the-aesthetic-dilution-and-reimagining-of-iconic-pop-motifs/ -
Covers, interpolations, and “reimaginings” that mistake recognition for meaning. From Heart to Nine Inch Nails, a tour of pop songs that lost the plot—and the rare ones that actually earned the risk. Some covers reveal new truths. Most just tell you to buy the record.
#Pop #Criticism #MusicEssay #Covers #PopMusic #Songwriting #MusicTheory #CulturalCritique #Interpolation #MusicHistory #PopCulture
https://pablohoneyfish.wordpress.com/2026/01/08/the-semiotics-of-recognition-analytical-perspectives-on-the-aesthetic-dilution-and-reimagining-of-iconic-pop-motifs/ -
Covers, interpolations, and “reimaginings” that mistake recognition for meaning. From Heart to Nine Inch Nails, a tour of pop songs that lost the plot—and the rare ones that actually earned the risk. Some covers reveal new truths. Most just tell you to buy the record.
#Pop #Criticism #MusicEssay #Covers #PopMusic #Songwriting #MusicTheory #CulturalCritique #Interpolation #MusicHistory #PopCulture
https://pablohoneyfish.wordpress.com/2026/01/08/the-semiotics-of-recognition-analytical-perspectives-on-the-aesthetic-dilution-and-reimagining-of-iconic-pop-motifs/ -
Covers, interpolations, and “reimaginings” that mistake recognition for meaning. From Heart to Nine Inch Nails, a tour of pop songs that lost the plot—and the rare ones that actually earned the risk. Some covers reveal new truths. Most just tell you to buy the record.
#Pop #Criticism #MusicEssay #Covers #PopMusic #Songwriting #MusicTheory #CulturalCritique #Interpolation #MusicHistory #PopCulture
https://pablohoneyfish.wordpress.com/2026/01/08/the-semiotics-of-recognition-analytical-perspectives-on-the-aesthetic-dilution-and-reimagining-of-iconic-pop-motifs/ -
Covers, interpolations, and “reimaginings” that mistake recognition for meaning. From Heart to Nine Inch Nails, a tour of pop songs that lost the plot—and the rare ones that actually earned the risk. Some covers reveal new truths. Most just tell you to buy the record.
#Pop #Criticism #MusicEssay #Covers #PopMusic #Songwriting #MusicTheory #CulturalCritique #Interpolation #MusicHistory #PopCulture
https://pablohoneyfish.wordpress.com/2026/01/08/the-semiotics-of-recognition-analytical-perspectives-on-the-aesthetic-dilution-and-reimagining-of-iconic-pop-motifs/ -
QGIS Trend Surface Generation
Processing Toolbox script to generate trend surface from point data
https://github.com/geosaber/trendsurf/wiki
#qgis #trend #surface #interpolation #regression #residual
💠 Applications in GIS
▫️ Regional slope detection
▫️ Geological trend identification
▫️ Climate pattern analysis
▫️ Pollution gradient mapping
▫️ Temperature surface generation
▫️ Precipitation trend analysis
hub.qgis.org/scripts -
Lánczos Interpolation Explained (2022)
https://mazzo.li/posts/lanczos.html
#HackerNews #Lánczos #Interpolation #Explained #(2022) #LánczosInterpolation #Interpolation #Explained #DataScience #ImageProcessing #TechTrends
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video2x vừa có bản cập nhật lớn, tái cấu trúc bằng C/C++ cho hiệu suất nhanh hơn! Hỗ trợ Windows (kèm trình cài đặt GUI mới) và Linux. Công cụ này sử dụng Vulkan-powered ncnn để nâng cấp hoặc nội suy video/ảnh, với các engine Anime4K v4, Real-ESRGAN, Real-CUGAN, RIFE. Dễ dàng cài đặt trên nhiều nền tảng.
#video2x #Upscale #Interpolation #Anime4K #RealESRGAN #Vulkan #Linux #Windows #TechUpdate #CôngNghệ #NângCấpVideo #MãNguồnMởhttps://www.reddit.com/r/LocalLLaMA/comments/1nykzv3/video2x_6x_open
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Open Ocean #7
Previously on Open Ocean. I did some pattern estimation using an iterative algorithm that worked like magic. But before that, I made a simple Gaussian Process interpolator.
One thing we can use the Gaussian Process interpolation for is to estimate biases in the ship data at a global and ship-by-ship scale. The process is to first grid up the ship and drifter data separately and then sequentially assimilate the buoy and ship observations. The drifter data provides an initial unbiased estimate of the global field. The ship data are then assimilated and the resulting field is effectively bias adjusted.
Ship data
First I grid up the ship data. I’m using July 2008 because those are the random numbers my fingers hit. I add a constant term to the error covariance to represent a global bias common to all ships. The uncertainty associated with this is set to 0.2K, which is larger than the bias is likely to be but is roughly the right order of magnitude.
The map of gridded anomalies from ships shows some interesting features. There is a short El Nino warm tongue in the eastern Pacific. The North Atlantic looks to be largely warmer than the average. There is a strong warm anomaly in the western North Pacific with cooler anomalies in the east. In the southeast Pacific there is a lonely ship track with a very positive anomaly. This is likely erroneous.
Drifter data
I gridded the drifter data separately, but in this case I haven’t added a constant to the error covariance reflecting the fact (my belief anyway) that drifters are unbiased. If you’re worried about that, we can take an operational view and just say that the “true” SST is whatever drifting buoys measure on average. The error covariances still allow for biases in individual buoys, but the mean bias is assumed to be zero.
While the coverage of drifting buoy observations is more complete than for ships, there are still significant gaps, including in the tropical Pacific. This is why it can be important to use ship data despite the fact that it is less reliable than drifter data: it still contains useful information. In this case, ships provide information which will help to reconstruct the El Nino. On the other hand, the drifter anomalies in the Atlantic look to be cooler, on average, than the ship data so the drifters will help there (and elsewhere).
Interpolation step 1
I set up the Gaussian Process using the default HadCRUT5 parameters and then interpolate the drifter data. As with the ship data, I add a constant term to the prior covariance for the reconstruction, which represents a “global mean” temperature. Once the interpolation is done, I mask the land areas out for plotting. The first step interpolation looks like this.
The interpolated drifter data have most of the same features as the basic gridded drifter data. They’re just a bit smoother and there are no gaps except where there’s land.
Interpolation step 2 and bias adjustment
Next, I subtract the first interpolation from the ship data. I then use the posterior distribution from the first step of interpolation as a prior for the second step. I then do the interpolation of the ship data and add the interpolated ship data back onto the first interpolation step.
The SST anomalies from the second interpolation step aren’t that different from the first suggesting that the ship data are not adding a great deal of information. However, they are providing some information in the tropical Pacific. There are other minor changes too (we’ll come back to the Arctic).
Estimated ship errors
In principle, we can explicitly estimate each component of the ship errors: large scale bias, ship by ship bias, measurement error and sampling error. Each one is just a component of the overall variance. Mathematically, their covariance matrices are no different from the covariances describing the actual SST field, so, just as we can estimate the SST field using this technique, we can estimate the errors. However, I haven’t done that. I’ve just taken the difference between the gridded ship data and the second step reconstruction. It’s shown below.
First off, you can see the pervasive warm bias. There’s noise because a lot of the error terms are noisy. On the other hand, the ship track joining the Panama Canal to Australia and New Zealand shows up as a swath of positive biases. To the south of that, as expected, the solitary ship in the southeast Pacific has a clear warm bias, but you can also see a cold biased ship which track from the southern tip of South America, slightly west of North up to Central America.
A similar result can be had by just taking the difference between the gridded ship and drifter data. However, the field is less complete, noisier because it includes noise from the drifter data too, and therefore we’re not making full use of the available information.
Doing it properly
OK, so, I calculated the bias components of the ship error on their own. It looks like this ⬇️. I narrowed the colour scale (it now runs from -1 to +1 rather than -3 to +3) to better show off the features. With the noise from uncorrelated measurement and sampling errors removed, you can clearly see the ship tracks criss-crossing the various ocean basins. The pale pink background is associated with the constant term in the error covariance and represents the “global ship bias”.
This still doesn’t quite have the rich spectrum of biases that exists in the real world. We know, for example, that errors correlate at the level of individual data collections (in ICOADS these were called “decks” meaning decks of punched cards on which the data were stored) or country of registration. I don’t have that information in IQUAM, so I can’t deal with that at the moment. Also, SST biases can be subdivided into biases associated with different measurement methods, but IQUAM doesn’t have that metadata either. Even within one measurement method there might be different kinds of bias behaviour. Some ships making measurements in their engine rooms have biases that are anticorrelated with the SST (the bias is bigger when the water is colder). It’s easy enough to add these terms to the covariance if the appropriate metadata can be found.
Bias adjusted time series
By repeating the 2-step interpolation for every month it’s possible to build up a time series that integrates information from the drifting buoys and ships in some kind of “optimal” way1. One nice outcome of this is that the data are bias adjusted in the process.
The interpolated data uses both ship and drifter data, but unlike the simple gridded combination of the two, the series now tends to follow the drifting buoy data throughout. Gridding them together without compensating for the bias in the ship data, leads to an artificial cooling in the combined dataset, but that should now be gone.
Of course, we might have other problems instead. In the 1980s, the coverage of the drifting buoys is very far from global and those buoys that there are take fewer and noisier measurements. Ideally, we would use a different benchmark dataset to continue adjusting the data prior to the drifter era (ERSST uses marine air temperatures, HadSST4 uses oceanographic measurements). Also, I haven’t yet included the moored buoy data in the interpolation and the Arctic Ocean has an unrealistically warm anomaly so I will need to do something about ice. There’s ice up there which moderates the anomalies by pinning them close to whatever the freezing point of sea water happens to be.
Comparison to HadSST4
We can compare this series to that from HadSST4. Previously, I compared the combined series to the unadjusted HadSST4, but here I’m going to compare to the adjusted version because we should have a series that is effectively homogenised. So, let’s see…
That’s surprisingly close, I would say.
There are a couple of things to note. First, the coverage of the two data sets is different because HadSST4 is not interpolated so we might still expect some differences. Second, prior to 1995 or thereabouts, the two diverge. That’s because HadSST4 uses subsurface data in addition to drifter data to benchmark the bias adjustments. In principle, HadSST4 is doing a better job. Third, the two are still referenced to different baselines. I’ve removed the average offset here, but not accounted for any seasonal effects.
For all that though, and despite being less sophisticated, this simple series looks to be doing quite a good job (since the mid 1990s anyway).
-fin-
- I put the prophylactic bunny ears on “optimal” because the whole thing requires fine tuning and it’s only optimal in the sense that we got everything right, which is to say it’s actually suboptimal. ↩︎
#climate #climateChange #gaussianProcess #interpolation #observations #seaSurfaceTemperature
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"Shape of You" is a song by English singer #EdSheeran. It was released on 6 January 2017 as one of the #doubleLeadSingles from his third studio album ÷ (2017), along with "#CastleOnTheHill". The #dancehall & #RAndB infused song was written by Sheeran, #SteveMac and #JohnnyMcDaid. Due to its #interpolation of "#NoScrubs" by #TLC, #KandiBurruss, #TamekaTinyCottle, and #KevinShekspereBriggs are also credited as writers. The song was produced by Sheeran and Steve Mac.
https://www.youtube.com/watch?v=uPvARJW_iVI -
"Shape of You" is a song by English singer #EdSheeran. It was released on 6 January 2017 as one of the #doubleLeadSingles from his third studio album ÷ (2017), along with "#CastleOnTheHill". The #dancehall & #RAndB infused song was written by Sheeran, #SteveMac and #JohnnyMcDaid. Due to its #interpolation of "#NoScrubs" by #TLC, #KandiBurruss, #TamekaTinyCottle, and #KevinShekspereBriggs are also credited as writers. The song was produced by Sheeran and Steve Mac.
https://www.youtube.com/watch?v=uPvARJW_iVI -
"Shape of You" is a song by English singer #EdSheeran. It was released on 6 January 2017 as one of the #doubleLeadSingles from his third studio album ÷ (2017), along with "#CastleOnTheHill". The #dancehall & #RAndB infused song was written by Sheeran, #SteveMac and #JohnnyMcDaid. Due to its #interpolation of "#NoScrubs" by #TLC, #KandiBurruss, #TamekaTinyCottle, and #KevinShekspereBriggs are also credited as writers. The song was produced by Sheeran and Steve Mac.
https://www.youtube.com/watch?v=uPvARJW_iVI -
"Shape of You" is a song by English singer #EdSheeran. It was released on 6 January 2017 as one of the #doubleLeadSingles from his third studio album ÷ (2017), along with "#CastleOnTheHill". The #dancehall & #RAndB infused song was written by Sheeran, #SteveMac and #JohnnyMcDaid. Due to its #interpolation of "#NoScrubs" by #TLC, #KandiBurruss, #TamekaTinyCottle, and #KevinShekspereBriggs are also credited as writers. The song was produced by Sheeran and Steve Mac.
https://www.youtube.com/watch?v=uPvARJW_iVI -
"Shape of You" is a song by English singer #EdSheeran. It was released on 6 January 2017 as one of the #doubleLeadSingles from his third studio album ÷ (2017), along with "#CastleOnTheHill". The #dancehall & #RAndB infused song was written by Sheeran, #SteveMac and #JohnnyMcDaid. Due to its #interpolation of "#NoScrubs" by #TLC, #KandiBurruss, #TamekaTinyCottle, and #KevinShekspereBriggs are also credited as writers. The song was produced by Sheeran and Steve Mac.
https://www.youtube.com/watch?v=uPvARJW_iVI -
In Robofont Mechanic: 🛹 Longboard 1.4.0. This finally offers some support for anisotropic explorations. 🤪🙃🤓🤩😵💫🤡👻 @RoboFont #designspace #interpolation #tools #typedesign
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In Robofont Mechanic: 🛹 Longboard 1.4.0. This finally offers some support for anisotropic explorations. 🤪🙃🤓🤩😵💫🤡👻 @RoboFont #designspace #interpolation #tools #typedesign
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In Robofont Mechanic: 🛹 Longboard 1.4.0. This finally offers some support for anisotropic explorations. 🤪🙃🤓🤩😵💫🤡👻 @RoboFont #designspace #interpolation #tools #typedesign
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In Robofont Mechanic: 🛹 Longboard 1.4.0. This finally offers some support for anisotropic explorations. 🤪🙃🤓🤩😵💫🤡👻 @RoboFont #designspace #interpolation #tools #typedesign
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In Robofont Mechanic: 🛹 Longboard 1.4.0. This finally offers some support for anisotropic explorations. 🤪🙃🤓🤩😵💫🤡👻 @RoboFont #designspace #interpolation #tools #typedesign
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"Shape of You" is a song by English singer #EdSheeran. It was released on 6 January 2017 as one of the #doubleLeadSingles from his third studio album ÷ (2017), along with "#CastleOnTheHill". The #dancehall & #RAndB infused song was written by Sheeran, #SteveMac and #JohnnyMcDaid. Due to its #interpolation of "#NoScrubs" by #TLC, #KandiBurruss, #TamekaTinyCottle, and #KevinShekspereBriggs are also credited as writers. The song was produced by Sheeran and Steve Mac.
https://www.youtube.com/watch?v=4jh2H5qFb44 -
"Shape of You" is a song by English singer #EdSheeran. It was released on 6 January 2017 as one of the #doubleLeadSingles from his third studio album ÷ (2017), along with "#CastleOnTheHill". The #dancehall & #RAndB infused song was written by Sheeran, #SteveMac and #JohnnyMcDaid. Due to its #interpolation of "#NoScrubs" by #TLC, #KandiBurruss, #TamekaTinyCottle, and #KevinShekspereBriggs are also credited as writers. The song was produced by Sheeran and Steve Mac.
https://www.youtube.com/watch?v=4jh2H5qFb44 -
"Shape of You" is a song by English singer #EdSheeran. It was released on 6 January 2017 as one of the #doubleLeadSingles from his third studio album ÷ (2017), along with "#CastleOnTheHill". The #dancehall & #RAndB infused song was written by Sheeran, #SteveMac and #JohnnyMcDaid. Due to its #interpolation of "#NoScrubs" by #TLC, #KandiBurruss, #TamekaTinyCottle, and #KevinShekspereBriggs are also credited as writers. The song was produced by Sheeran and Steve Mac.
https://www.youtube.com/watch?v=4jh2H5qFb44 -
"Shape of You" is a song by English singer #EdSheeran. It was released on 6 January 2017 as one of the #doubleLeadSingles from his third studio album ÷ (2017), along with "#CastleOnTheHill". The #dancehall & #RAndB infused song was written by Sheeran, #SteveMac and #JohnnyMcDaid. Due to its #interpolation of "#NoScrubs" by #TLC, #KandiBurruss, #TamekaTinyCottle, and #KevinShekspereBriggs are also credited as writers. The song was produced by Sheeran and Steve Mac.
https://www.youtube.com/watch?v=4jh2H5qFb44 -
"Shape of You" is a song by English singer #EdSheeran. It was released on 6 January 2017 as one of the #doubleLeadSingles from his third studio album ÷ (2017), along with "#CastleOnTheHill". The #dancehall & #RAndB infused song was written by Sheeran, #SteveMac and #JohnnyMcDaid. Due to its #interpolation of "#NoScrubs" by #TLC, #KandiBurruss, #TamekaTinyCottle, and #KevinShekspereBriggs are also credited as writers. The song was produced by Sheeran and Steve Mac.
https://www.youtube.com/watch?v=4jh2H5qFb44 -
🎨 Oh wow, another #techie #bible on how to make your #laptop sweat by #rendering #mesh #gradients with #RBF #interpolation. 🤓 Because everyone knows, nothing says "cutting-edge" like having 17 tabs of #Stack #Overflow open while praying to the gods of Notion that your code doesn't crash your computer. 🚀
https://www.notion.so/Smooth-Mesh-Gradients-with-RBF-Interpolation-1ba8eeb5a3e68046b34cf997fe67d3c1?source=copy_link #HackerNews #ngated -
In today's episode of "Math #Mystifies #the #Masses," we dive into the riveting world of #probability #density #functions and #interpolation factors—because apparently, nothing screams excitement like calculating how an "entropy bulge" curves upward. 📈🤯 Spoiler alert: It's concave! Stay tuned for more edge-of-your-seat #algebraic #adventures. 🙄
https://cgad.ski/blog/entropy-of-a-mixture.html #Math #Factors #Entropy #Bulge #HackerNews #ngated -
In today's episode of "Math #Mystifies #the #Masses," we dive into the riveting world of #probability #density #functions and #interpolation factors—because apparently, nothing screams excitement like calculating how an "entropy bulge" curves upward. 📈🤯 Spoiler alert: It's concave! Stay tuned for more edge-of-your-seat #algebraic #adventures. 🙄
https://cgad.ski/blog/entropy-of-a-mixture.html #Math #Factors #Entropy #Bulge #HackerNews #ngated -
In today's episode of "Math #Mystifies #the #Masses," we dive into the riveting world of #probability #density #functions and #interpolation factors—because apparently, nothing screams excitement like calculating how an "entropy bulge" curves upward. 📈🤯 Spoiler alert: It's concave! Stay tuned for more edge-of-your-seat #algebraic #adventures. 🙄
https://cgad.ski/blog/entropy-of-a-mixture.html #Math #Factors #Entropy #Bulge #HackerNews #ngated -
In today's episode of "Math #Mystifies #the #Masses," we dive into the riveting world of #probability #density #functions and #interpolation factors—because apparently, nothing screams excitement like calculating how an "entropy bulge" curves upward. 📈🤯 Spoiler alert: It's concave! Stay tuned for more edge-of-your-seat #algebraic #adventures. 🙄
https://cgad.ski/blog/entropy-of-a-mixture.html #Math #Factors #Entropy #Bulge #HackerNews #ngated -
Block Diffusion: Interpolating Between Autoregressive and Diffusion Models
https://arxiv.org/abs/2503.09573
#HackerNews #Block #Diffusion #Autoregressive #DiffusionModels #MachineLearning #AIResearch #Interpolation
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I talked about this at ATD3 on SimplexSpaces, around minute 12?
https://vimeo.com/1059784825 Many thanks to @ANRT for organising and indulging. #interpolation #math #typedesign (2/2) -
With the new folio comes my first article about the linear interpolation and what I learned building the Interpol javascript library.
I hope you enjoy it as much as I enjoyed writing it.
📖 https://willybrauner.com/journal/interpol -
I'm heading towards the Automatic Type Design ANRT conference in Nancy for 1, maybe 2 talks. #1: See Also: using Cosine Similarity in type design. #2: Simplexspaces: an exploration of alternative interpolation designspaces. Thursday Feb 20, 16:45 @ANRT #typedesign #interpolation #mathemathics Symposium programme: https://automatic-type-design.anrt-nancy.fr/colloques/automatic-type-design-3
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A variable font with weight and serif axes :)
(Isn’t it remarkable that when you just slap some serifs on a narrow monolinear font, it instantly gives off Officina vibes?)
#VariableFont #Interpolation #Fonts #TypeDesign -
'Memorization With Neural Nets: Going Beyond the Worst Case', by Sjoerd Dirksen, Patrick Finke, Martin Genzel.
http://jmlr.org/papers/v25/23-1376.html
#memorization #interpolation #interpolating -
Another non-orthogonal designspace. Please observe three drawings for the big size and only two for the small. A straight line for the same stem just because I can. Smooth and continuous. Images generated from working code. I know you're curious, I can make more. #interpolation #experimental #designspace #math #somethingnew
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Another non-orthogonal designspace. Please observe three drawings for the big size and only two for the small. A straight line for the same stem just because I can. Smooth and continuous. Images generated from working code. I know you're curious, I can make more. #interpolation #experimental #designspace #math #somethingnew
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Another non-orthogonal designspace. Please observe three drawings for the big size and only two for the small. A straight line for the same stem just because I can. Smooth and continuous. Images generated from working code. I know you're curious, I can make more. #interpolation #experimental #designspace #math #somethingnew
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Another non-orthogonal designspace. Please observe three drawings for the big size and only two for the small. A straight line for the same stem just because I can. Smooth and continuous. Images generated from working code. I know you're curious, I can make more. #interpolation #experimental #designspace #math #somethingnew
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Another non-orthogonal designspace. Please observe three drawings for the big size and only two for the small. A straight line for the same stem just because I can. Smooth and continuous. Images generated from working code. I know you're curious, I can make more. #interpolation #experimental #designspace #math #somethingnew
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Look here. This is a method to make smooth and continuous non-orthogonal designspaces. In this example: 4 masters "on the outside" and 3 floating intermediates. (The shapes are from MutatorSans and only illustrate the extent of influence.) #interpolation #experimental #designspace #math #somethingnew
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Look here. This is a method to make smooth and continuous non-orthogonal designspaces. In this example: 4 masters "on the outside" and 3 floating intermediates. (The shapes are from MutatorSans and only illustrate the extent of influence.) #interpolation #experimental #designspace #math #somethingnew
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Look here. This is a method to make smooth and continuous non-orthogonal designspaces. In this example: 4 masters "on the outside" and 3 floating intermediates. (The shapes are from MutatorSans and only illustrate the extent of influence.) #interpolation #experimental #designspace #math #somethingnew
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Look here. This is a method to make smooth and continuous non-orthogonal designspaces. In this example: 4 masters "on the outside" and 3 floating intermediates. (The shapes are from MutatorSans and only illustrate the extent of influence.) #interpolation #experimental #designspace #math #somethingnew
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Look here. This is a method to make smooth and continuous non-orthogonal designspaces. In this example: 4 masters "on the outside" and 3 floating intermediates. (The shapes are from MutatorSans and only illustrate the extent of influence.) #interpolation #experimental #designspace #math #somethingnew
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When you find some handy code hidden away on an archived website:
Interpolated Lookup Tables in Python — https://web.archive.org/web/20151105073350/http://zovirl.com/2008/11/04/interpolated-lookup-tables-in-python/(I've got an application that can't use numpy or scipy, and ideally, doesn't touch the maths library at all)