Questions tagged [interpolation]
Interpolation is a set of methods to construct intermediate points between known points.
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What is Interpolation in Data Science?
What is the concept behind Interpolation, why and when it is used? Explain with some an example.
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Kriging for spatio-temporal data
I have a geospatial dataset of air quality and I want to interpolate the air quality value across time and space for unmeasured location and time instace.
I found gstat package in R could do the ...
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averaging non-aligned vectors or lists of numbers
I have two lists of vectors: x, and y. Each x,y vector forms a function that can be plotted (see figure).
The values in x do not all match, which you can see from the plot.
Also, each x vector may ...
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23 views
Input missing data with interpolation [duplicate]
When dealing with missing values there are several strategies that can be used such as: imputing with the mean, median, a fixed value...
I have read that you can do things such as interpolation.
...
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How to downscale NWP forecast data for a specific point
I have a dataset of NWP data at a 0.5 degree resolution containing variables such as surface temperature, cloud cover, humidity and irradiance. However I need to estimate the weather variables for a ...
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1answer
30 views
empty fields to be filled with previous values
In the above sample data, I have empty fields and now the task is to fill the fields with previous values.
my columns are dates and the values are a number of items present for that particular article ...
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23 views
Probability Mass Function of Trigrams of DevSet in Linear Interpolation
I am reading the text on page 12-13, the A linearly interpolated trigram model is derived is defined in terms of the trigram, bigram, and unigram maximum-likelihood estimates
$q(w|u,v)=λ_1 ×q_{ML}(w|...
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Is it possible retrive hourly data from daily weather data?
I'm a beginner, so sorry if my question could be basic. Reading on internet I've found example written in python that makes the reverse of my questions (covert from daily to monthly).
My problem is ...
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What is and how to calculate quartic interpolation?
I was reading the gist on the reward function used in OpenAI Five, but I didn't understand the way they calculate health's reward.
This is what they state: Hero health is scored according to a ...
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1answer
991 views
How to understand the return values of scipy.interpolate.splrep
Background
Continuation of Spline interpolation - why cube with 2nd derivative
as following Cubic Spline Interpolation in youtube. The example in the youtube is below.
Implemented using scipy....
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1answer
52 views
Limits of using a normal distribution in Bayesian inference
When applying a Bayesian inference method such as Gaussian Process Regression (GPR), the assumption of a prior and likelihood function following a normal distribution is inherent. One can use an ...
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Regression of discrete continuous averaged data
If I have data that is continuous and discrete that is the average of a timestep. For example average power usage over the past 1 hour that is continually sampled every hour. How could I turn such ...
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2answers
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Ordering scrambled 1D data sets by continuity
This is a cute little clustering problem that was probably solved a million times over, but I couldn't find a good reference for it.
I have 20 1D datasets with 400 entries each. In the picture they ...
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1answer
310 views
Sparse Data Interpolation
I have a price data set where on some days there are up to five data points and some days none at all. For example:
...
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2answers
332 views
Interpolation in nlp - definition of O term
Reading definition of interpolation below how are the O terms defined? Is this a value that is set manually?
Example
P( Sam | I am ) = count( Sam I am ) / count(I am) = 1 / 2
...
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0answers
184 views
Does it make sense to interpolate image just before a CNN?
I'm training a CNN with images which have lots of horizontal black lines (due to the nature of the sensor). I'm thinking in removing this artifacts by some kind of preprocessing (interpolation, median ...
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1answer
158 views
Neural net layer that preserves spatial information
I'm attempting to use a neural network as a kind of interpolator for a high-dimensional function.
We're doing this to circumvent the need for a physical model that calculates this function exactly, ...
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2answers
366 views
How to mask or crop IDW results
My question is: how can I mask or crop the results, using R, of IDW interpolation to only the area containing the original set of data points?
In the example below, 20 random points are used to ...
3
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1answer
33 views
Geometric weighting of temperature
I have a number of weather stations, and I know their positions. I would like to interpolate measurements from them for various other positions as a weighted average of these stations, but of course I ...
