interpolation

问题 So I have a 4d force field as in x y and z with a Force attached to each point. I'm a a bit at a lost on how to interpolate this, I came across this though. http://docs.scipy.org/doc/scipy-dev/reference/generated/scipy.ndimage.interpolation.map_coordinates.html It looks like I can make an array of x y z F and then interpolate it but I'm really not too sure. Anyone know any good libraries for python on how to do this? Example input is: x y z Force 0 0 0 35 0 0 1 32 0 0 2 23 ... 2 5 9 54 回答1:

问题 Background I am trying to replicate figure 2.6 in the book An Introduction to Statistical Learning: A rough thin-plate spline fit to the Income data from Figure 2.3. This fit makes zero errors on the training data. What have I tried so far? I tried to replicate the previous figure 2.5, a smooth thin-plate spline fit, not sure if succesfully. income_2 <- read.csv("http://www-bcf.usc.edu/~gareth/ISL/Income2.csv") library(mgcv) model1 <- gam(Income ~ te(Education, Seniority, bs=c("tp", "tp")),

问题 I have a GPS on the middle of a plate as can be seen in attached picture. Clearly, the GPS gives me the Lon. and Lat of the center of the plate with no problem. My question is how can I estimate what is the Lon. and Lat at each end point (A,B,C,D) as the distance between end points and GPS is known? I believe there should be a formula for this purpose. I appreciate any idea and suggestion in advance. GPS and four points around it: ![][1] [1]: https://i.stack.imgur.com/cwWVU.jpg 回答1: Have a

问题 As often happens in Earth sciences, I have a time series of positions (lon,lat). The time series is not evenly spaced in time. The time sampling looks like : t_diff_every_position = [3.99, 1.00, 3.00, 4.00, 3.98, 3.99, ... ] And I have associated position with every t : lat = [77.0591, 77.0547, 77.0537, 74.6766, 74.6693, 74.6725, ... ] lon = [-135.2876, -135.2825, -135.2776, -143.7432, -143.7994, -143.8582, ... ] I want to re-sample the positions to have a dataset evenly spaced in time. So I

问题 I have a two-dimensional matrix whose elements represent data that can be colormapped and represented as an image. I want to interpolate them, but I get strange behavior at some of the boundaries that I can't explain. Here is the original image, the image after 3 iterations of the interpolation routine, and the image after 10 interpolation iterations. Here's my code: close all ifactor = 0.9; % Interpolation factor % Cut out the meaningless stuff at the edges bshift_i = bshift(1:16, 1:50); [m,

问题 Code Returning Correct value but not always returning a value In the following code, python is returning the correct interpolated value for arr_b but not for arr_a . Event though, I've been looking at this problem for about a day now, I really am not sure what's going on. For some reason, for arr_a, twoD_interpolate keeps returning [0] even if I play around or mess around with the data and input. How can I fix my code so it's actually interpolating over arr_a and returning the correct results

问题 I have hourly time series and would like to interpolate sub-hourly values like every 15 min. Linear interpolation will do. But if there is any way to specify Gaussian, Polynomial, that would be great. For example if I have a<-c(4.5,7,3.3) which is the first three hour data. How can I get 15 min sub-hourly data, total of 9 values in this case? I have been using approx function and studying zoo package and still don't know how I can do it. Thank you very much! 回答1: Within xts package, you can

问题 I'm quite a beginner with c++, especially graphically related. I would like to make an animated background for my graphicsview which looks kind of like this: Gradient Field Airflow The picture represents the turbulence of an airflow over an object. The colors must be based on a matrix of values. I can only find how to do single-direction gradients with QT. How do I set this up? How do I get two-directional gradients? /*edit It has been pointed out well that technically speaking this is not a

问题 I was wondering if someone could help with explaining in simple terms what interpolation is and how its used in 3d computer graphics 回答1: Simply put: given two points A and B, find a point between them. For example, if I want to move something along a line from a position x=1 to x=4 in one step: 1-----------------------4 The first step is at location 1, the second step is at location 4, so the object moves instantly from one location to the other. However, if I want the object to take a

问题 I am using interp1 to inteprolate some data: temp = 4 + (30-4).*rand(365,10); depth = 1:10; dz = 0.5; %define new depth interval bthD = min(depth):dz:max(depth); %new depth vector for i = 1:length(temp); i_temp(i,:) = interp1(depth,temp(i,:),bthD); end Here, I am increasing the resolution of my measurements by interpolating the measurements from 1 m increments to 0.5 m increments. This code works fine i.e. it gives me the matrix I was looking for. However, when I apply this to my actual data,