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enter image description herethe cow

enter image description herepaths over the cow

enter image description herecow bubbles

enter image description herecow pieces

enter image description here

enter image description here

enter image description here

enter image description here

the cow

paths over the cow

cow bubbles

cow pieces

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ben18785
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Does anyone have any idea how I can generate a 3D point plot like what I want without having an enormous file size and taking my computer a day to produce? If it helps, I don't need to be able to rotate such a plot in 3D.

Does anyone have any idea how I can generate a 3D point plot like what I want without having an enormous file size? If it helps, I don't need to be able to rotate such a plot in 3D.

Does anyone have any idea how I can generate a 3D point plot like what I want without having an enormous file size and taking my computer a day to produce? If it helps, I don't need to be able to rotate such a plot in 3D.

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I've been using random walk Metropolis to sample from the (unnormalised distribution) which is defined as $p(r)\propto e^{-100 r}$, where $r$ is the perpendicular distance of a point in 3D space from the surface of a,the cow:

which generates sample paths over time that look like,

over time.

I want to draw a 3D point plot of all the sampled values where each of the points is a cow shape. I have tried doing this with,

butHowever, it does not scale well to 1000s of points, which is unsurprising given that each cow is a fairly complex 3D graphic. I have tried downsampling the cow's polygon coordinates and using these as markers instead by,

I've been using random walk Metropolis to sample from the (unnormalised distribution) which is defined as $p(r)\propto e^{-100 r}$, where $r$ is the perpendicular distance of a point in 3D space from the surface of a,

which generates sample paths that look like,

over time.

I want to draw a 3D point plot of all the sampled values where each of the points is a cow shape. I have tried doing this with,

but does not scale well to 1000s of points, which is unsurprising given that each cow is a fairly complex 3D graphic. I have tried downsampling the cow's polygon coordinates and using these as markers instead by,

I've been using random walk Metropolis to sample from the (unnormalised distribution) which is defined as $p(r)\propto e^{-100 r}$, where $r$ is the perpendicular distance of a point in 3D space from the surface of the cow:

which generates sample paths over time that look like,

I want to draw a 3D point plot of all the sampled values where each of the points is a cow shape. I have tried doing this with,

However, it does not scale well to 1000s of points, which is unsurprising given that each cow is a fairly complex 3D graphic. I have tried downsampling the cow's polygon coordinates and using these as markers instead by,

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ben18785
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