A statistical interpolation method, also known as Gaussian process regression, most used in geo-statistics. The goal is to map a surface given limited sample data. The process evaluates the variability of supplied data, then uses a weighted average of neighbouring points -- considering both distance and direction -- to interpolate the desired map points.
Questions tagged [kriging]
186 questions
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Error when trying to image krig values
while trying to Krig benzene values from
WELL.ID X Y BENZENE
1 MW-02 268.8155 282.83 0.00150
2 IW-06 271.6961 377.01 0.00050
3 IW-07 251.0236 300.41 0.01040
4 IW-08 278.9238 300.37 0.03190
5 …
c0ba1t
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Covariance Parameters for Krig in geoR ksline
I have a small data set of locations and benzene concentrations in mg/kg
WELL.ID X Y BENZENE
1 MW-02 268.8155 282.83 0.00150
2 IW-06 271.6961 377.01 0.00050
3 IW-07 251.0236 300.41 0.01040
4 IW-08 …
c0ba1t
- 241
- 2
- 15
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1 answer
autoKrige gives different results if data frame columns removed
I may be doing something wrong here, but I find that if I simplify my data frame by removing irrelevant columns the autoKrige function in the automap library gives different results. I have reproduced this problem with the meuse data in the automap…
William Chivers
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- 5
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Artifacts in ARC GIS aspect raster
I am trying to make a set of raster layers of the Earth's magnetic field using point data collected over 21x31km at regular 300m intervals. I have tried 150 different combinations of kriging variables and ended up using Universal with a second order…
Josh Guilbert
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- 7
-1
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How to plot property distribution with interpolation?
I have a dataframe like this:
import random
import matplotlib.pyplot as plt
plt.style.use('ggplot')
fig = plt.figure(figsize=(16,8))
import pandas as pd
data = pd.DataFrame({"X":random.sample(range(530000, 560000), 60),
…
user026
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