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Questions tagged [kriging]

A group of geostatistical techniques to interpolate the value of a random field at an unobserved location from observations of its value at nearby locations.

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2 answers
959 views

Kriging method vs. IDW in soil moisture interpolation

I have XY coordinates and soil moisture values for a grid of 10m and I used add XY data to import my excel data to ArcMap 10.5. I applied both IDW and kriging methods for interpolation. The results ...
0 votes
1 answer
421 views

R function krige.cv() returns NAs

I recently completed a geostatistics course, and now trying to apply my knewly acquired knowledge to a real case. I have a dataset with 2 122 groundwater level measurement points. I would like to ...
3 votes
1 answer
2k views

R kriging raster returns NA for some prediction points?

I am trying to interpolate a raster layer of chlorophyll-a data using kriging (gstat::krige) in R, however the resulting interpolation is showing NA values in a peculiar straight line through the ...
0 votes
1 answer
2k views

Using PyKrige for ordinary kriging on an XYZ file

I've previously used ArcGIS for Ordinary Kriging, but I now need a Python alternative. I found the PyKrige module which i decided to give a try, but I am bit confused by it. So far, I have read my XYZ ...
0 votes
1 answer
437 views

0........0.kriging error messages, grid file problem ? (automap, gstat)

I am trying to conduct kriging of variable called percent in South Africa. head(LL12) Location Longitude Latitude percent 1 L1 16.48476 -28.60737 1.0000000 2 L3 16....
0 votes
1 answer
180 views

Error message with Krige function: Error in as.character.default(X[[i]], ...) : no method for coercing this S4 class to a vector

I am trying to run the Krige function but I keep receiving NA values for var1.pred and var1.var. After using the warning() command, it says: Error in as.character.default(X[[i]], ...) : no method for ...
1 vote
1 answer
1k views

QGIS: Spatial extrapolation

I have few sample points with values on (agricultural) field and I want to interpolate and extrapolate values inside the field boundary. Ideally I would like to use Kriging (as it smooths local extrem ...
1 vote
1 answer
206 views

Kriging with gstat and Gaussian model produces bad outputs

I am trying to produce kriging models from elevations points using the gstat package. I can fit models to the empirical variogram using exponential, spherical, and Gaussian curves. However, despite ...
2 votes
2 answers
11k views

Only Interpolating within a polygon feature in ArcMap 10.1

I have sample points within a single polygon feature class that I would like to interpolate, likely using kriging. The problem is the sample points and polygon boundaries are many miles apart and ...
0 votes
2 answers
883 views

QGIS Smart Map Plugin - Error Running Interpolation

I am new to using the Smart-Map plugin. I added my data and did the ordinary Kriging interpolation. Just before it reaches 100% I get the following error message: An error has occurred while executing ...
0 votes
1 answer
214 views

Spatio-temporal Kriging and how extract specific values

I have several years of data that needs to be converted to STDFDF. Shapiro.test and Adf.test talk about non-stationarity and non-normal distribution. particolato_May2021 <- read.delim(file = "...
0 votes
0 answers
7 views

Symbology and statistic issues with interpolation maps in Geostatistical Wizard of ArcGIS Pro

I have created a series of depth interpolation maps using ordinary kriging with the Geostatistical Wizard in ArcGIS Pro. To make the maps comparable to each other, I manually adjusted the class breaks ...
0 votes
0 answers
47 views

Groundwater interpolation using kriging with external drift

I have a bunch of groundwater measurements that I would like to interpolate taking into account the ground elevation. For this, I was advised to use kriging with external drift. I have tried different ...
-1 votes
1 answer
198 views

Performing empirical bayesian kriging in R

I am trying to apply empirical bayesian kriging in R, but I cannot find a package that provides a function for EBK. Does anyone know of any or should I use ArcGIS?
0 votes
0 answers
77 views

QGIS SAGA Kriging tools not working with my data

I've been trying to create surfaces using Kriging from the geochemical sample data points I have, using SAGA ordinary kriging. But the tool doesn’t work. Most of my data points have 50m*100m spacing. ...
0 votes
0 answers
44 views

Assign single SPEI value for each city

I want to have a single value of SPEI to every city of my map. As the SPEI data is gridded at 0.5 degree resolution, some cities o not have a point falling into its boundaries. My approach was to &...
3 votes
0 answers
732 views

Spatial interpolation of climate data using latitude, longitude and elevation in r

I have downloaded E-OBS gridded daily climate data on 0.1-degree grid. For each grid point, I have longitude, latitude, elevation and climate data, i.e. precipitation sum / mean temperature. Now, I ...
0 votes
0 answers
72 views

Understanding Universal Kriging results

The results obtained using the Universal Kriging method with 41 data points appear as shown in the graph. I would like to inquire about the reasons behind the occurrence of the sawtooth pattern in the ...
0 votes
1 answer
57 views

Minimum datapoints for Kriging

Are the datapoints (34) for this Kriging operation sufficient? Research Gate recommends > 30. [both -> here and here], while another source [-> here] mentions 30 to 50. All mention Webster ...
7 votes
2 answers
23k views

Performing Kriging in QGIS

Does anyone know how to perform kriging in QGIS? and not via SAGA but actually in the program itself.
11 votes
2 answers
4k views

R gstat krige() - Covariance matrix singular at location [5.88,47.4,0]: skipping

When I want to perform the kriging it only works sometimes, depending on what values I use in my datatable. As a result of the krige function I get for var1.pred: NA NA NA ... and var1.var: NA NA NA .....
0 votes
0 answers
82 views

Using data for interpolation in Geostatistical Wizard of ArcGIS Pro

i do have soil temperature data (5 cm depth) from 1991 and 2021 for Germany, and wanted to interpolate the data for each year as a class of 3 seasonal months (winter = 12, 1, 2; summer = 6, 7, 8). ...
0 votes
0 answers
50 views

Clip a SpatialGrid using a SpatialPolygon

In order to perform kriging methods using automap::autoKrige I need to provide a SpatialGrid for which values can be predicted. I would like to reduce the rectangular grid to the actual area (in this ...
1 vote
1 answer
68 views

Improving kriging results from transect data

I have estimates of fish density along transects from a lake and would like to extrapolate these estimates for the entire lake surface, using kriging methods. Based on information from here, here and ...
1 vote
1 answer
299 views

What does ArcGIS Kriging use lag size for, if semivariogram model (range, sill, nugget) are prespecified

Using the Kriging tool in ArcMap I'm a bit confused on the meaning of parameters. The interface asks for lag size, and optionally range, partial sill and nugget. My understanding is that lag size is ...
0 votes
0 answers
51 views

Unexpected artifacts when creating a digital terrain model (DTM) using lidR and gstat libraries in R

I'm using the lidR, raster, sp, and gstat libraries in R to create a Digital Terrain Model (DTM) from LiDAR data. I'm encountering unexpected artifacts in my DTM and I'm unsure why. Here is my code: ...
0 votes
1 answer
95 views

Kriging - spatial autocorrelation analysis

I'm reading a paper, where semivariogram analysis was done using kriging to calculate spatial autocorrelation of building hights. The paper says: As can be seen from Figure 3, the building in the ...
1 vote
0 answers
49 views

Generate simulations using variogram with given mean and standard deviation

I am trying to generate simulations using variogram using the R code below library(sp) library(gstat) library(ggplot2) library(tidyverse) library(dplyr) library(reshape2) # Call data points <- ...
0 votes
1 answer
231 views

Interpolate underwater quality data with QGIS as with Surfer with Kriging method [closed]

I'm trying to interpolate conductivity data form a coastal area about 4-6 square km from a series of 10-20 probe wells more or less equally distributed. I have access to a licensed Surfer and to QGIS ...
1 vote
1 answer
69 views

Kriging: extract data for other unknown points

I have one month of data that I converted to STDFDF. #set the spatial location of the regions Data.loc <- data.frame(Stat = c("Firmo","Citta dei Ragazzi", "Rende", ...
0 votes
0 answers
528 views

SAGA GIS - regression kriging

I have a problem with regression kriging in SAGA under QGIS. It gives me an error - could not execute the tool. I want to create temperature maps from data set of meteorologic station and DEM. I have ...
0 votes
1 answer
71 views

Exporting voxel sections to raster in ArcGIS Pro [closed]

I need to perform some algebra in voxel sections resulting from EBK 3D (NetCDF file). I need to calculate a mean section and standard deviation, and to do that I need to export the sections to raster. ...
0 votes
0 answers
36 views

Generating vertical sections in 3D models in ArcGIS Pro

I have a model in NetCDF from EBK 3D in ArcGIS Pro and I need to take a vertical section, but ArcGIS only provides horizontal sections, has anyone faced this issue and know how to get vertical ...
1 vote
1 answer
82 views

Optimize summary stats PostGIS query for multiple polyline layers over a worldwide grid

I have two global PostGIS polyline layers, one of which is a subset of the other. The subset defines where there are issues with the system being mapped. I am trying to map the likelihood of a ...
2 votes
0 answers
153 views

Standard deviation of interpolated data

I have a dataset with air-quality measurements in several points across one state, through several months. Thus, for each point I can calculate average, variance and so. My goal is to interpolate data ...
0 votes
0 answers
43 views

How to stack/merge geom_stars items/plots in one - in R

If I have plotted the Relative Error Maps for the Silt soil attribute for the following 4 different soil types: Cambisols, calcisols, leptosols and fluvisols that form my study case area: ggplot() + ...
0 votes
0 answers
206 views

Spatial Outliers Detection and Remove in R?

I have run my data in R, and created a distribution mapof my data (Clay Soil Property). I want to detect in a way the spatial outliers that i can see from the map, and remove them in order to execute ...
8 votes
1 answer
413 views

How does Empirical Bayesian Kriging of ArcGIS Pro handle sampling bias?

In ArcGIS Pro, simple kriging approaches allow you to de-cluster your data before applying a normal-score transformation. According to the Esri guideline, normal-score transformations are only ...
44 votes
9 answers
32k views

Open source methods for kriging?

I have a point dataset which I'd like to Krige, ideally using an open-source software package. If possible, I'd also like to choose the semi-variogram model during the process to improve the ...
0 votes
0 answers
225 views

How to create a Grid in R for Kriging

I have done my work for creating variograms etc, and i would like to run kriging. I've loaded my dataset, and i know that i should create a grid file, but i don't know how. I have the shapefile from ...
0 votes
1 answer
189 views

Does Kriging change known values

Does the process of Kriging routinely change known values to accommodate other nearby known values? You can see I know little to nothing of this Kriging stuff. My concern is that a known and accurate ...
0 votes
1 answer
159 views

Remove X and Y axis from PyKrige result

I am trying to use the PyKrige module in Python to interpolate via Ordinary Kriging my XYZ dataset. I have the below script, code taken from https://colab.research.google.com/drive/1mZDVJ-...
2 votes
1 answer
654 views

PyKrige constantly running into memory errors even with small dataset

I have an xyz file in which I'd like to apply the interpolation method of kriging to via python. In order to do this, I have come across the module PyKrige and duplicated this example perfectly on my ...
0 votes
1 answer
1k views

Rule of thumb for complexity of 3d Kriging (with pykrige)

I've been using pykrige for some data interpolation. It's great and works well in 2d. I recently tried the 3D version though, and it takes forever to run (> a day before I killed it), just for ...
3 votes
1 answer
730 views

Empirical variogram plot in QGIS

I am trying to do kriging on mortality rates using QGIS (I have version 3.0 but I downloaded the 2.18.20 to be able to follow the web documentation and most of the answers here). From what I have ...
0 votes
1 answer
374 views

Kriging Interpolation in ArcMap

I want to interpolate one field of the shapefile named 'Interpolation' by Kriging method. But want to change the processing environment to the extent of another file namely 'Polygon'. I tried '...
1 vote
0 answers
116 views

Changing value while converting Geostattistical layer to raster using Geostatistical analyst

I using geostatistical analyst for interpolation. when geostatistical layer create and I want to export it to the raster the range of min-max values changes. how could I export GA layer to raster ...
3 votes
2 answers
2k views

Measuring error of Spatial Analyst interpolation such as spline, nearest neighbor and kriging?

I am planing to use interpolation method using spatial analyst tool and I found several methods like spline NN and kriging. I know I can do interpolation using geostatistical analyst but some ...
0 votes
1 answer
87 views

Using a dynamic formula with parrallel kringing in R

I am trying to achieve parallel Kriging in R on several variables using a loop. Here is a reproducible example using data meuse and a code for parallel kriging that I found here. In the code below, ...
8 votes
2 answers
2k views

Interpolating Maps - Statistical Learning Techniques vs Spatial Statistics Techniques

I have recently begun experimenting with the interpolation of variables over a whole country. I have good sized training set where I have several dependent variables (continuous and categorical) ...

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