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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33
votes
9answers
17k 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 ...
14
votes
2answers
5k views

Minimum number of samples for kriging interpolation

I get some data with number of specimens with a request to interpolate it using kriging method. After some investigation it appeared that kriging results (performed in ArcGIS Geostatistical Analyst ...
12
votes
1answer
10k views

When to use IDW vs Kriging Interpolation for DEM creation?

I'm trying to create a DEM using point data spaced very regularly about 10m apart. The area I am interpolating is an educational facility with many flat parking lots and football fields but still has ...
10
votes
4answers
4k views

Kriging with barriers in ArcGIS Desktop?

I am trying to do interpolation in a coastal area with data points in several rivers emptying into a bay and on opposite sides of peninsulas. I have created a coastline layer to use it as a barrier ...
9
votes
2answers
5k views

Converting point data into gridded dataframe for histogram analysis using R?

I am very new at using GIS data and only modestly experienced with R. I've been reading about how to analyze spatial data using the spatial-analyst.net PDF book, so I'm not completely lost, but I ...
9
votes
1answer
724 views

Kriging on GRASS+R - cannot allocate vector of size 146.5 Mb

I'm trying to do a groundwater elevation map with an Ordinary Kriging on R, but always resulting on the lack of memory cannot allocate vector of size 146.5 Mb allocation (windows xp 32bit). ...
9
votes
1answer
640 views

How to grid unevenly sampled categorical data?

I am looking for a method for gridding categorical data. I have extracted from nautical charts and field sheets a collection of points specifying the nature of the surface of the bottom of the ocean. ...
7
votes
1answer
409 views

Hex grid value interpolation in POSTGIS

I have a table of tessellated hexagons that I created as a hex binning grid to cover an area. I've then overlaid a point set to give some of the hexagons a value, see diagram:- The shapes with ...
7
votes
3answers
1k views

Spatio-temporal block kriging with R package gstat?

In the documentation of sp I saw that the coords argument of the SpatialPolygons function only accepts 2 columns. Is it not possible to create 3-dimensional polygons? I am doing spatio-temporal ...
7
votes
1answer
284 views

Interpolating points observed with different time duration

I am doing spatial interpolation with a group of points. Some points have complete observation of events: for a period of 24 hours we have observed N events in each point. These points have N ...
6
votes
3answers
1k views

Kriging with barriers in R?

I wonder if there is a way to interpolate xyz points in a raster within certain bounds using R? In ArcGIS this is called interpolation with barriers. I wonder if there is something similar in R? I ...
6
votes
1answer
1k views

Are special interpolation techniques required for weather data?

I've downloaded a series of weather observations from the local weather agency - it comprises around 1,000 points spread non-uniformly across Australia, with a greater density of points located near ...
5
votes
2answers
370 views

Spatial interpolation - appropriate method to estimate the accuracy of the surface

When using a spatial interpolation method (any method) without having a way to validate it, besides sampling some points out, is there a way to count as well with the mean distance between ...
5
votes
2answers
711 views

Kriging method to use for rainfall?

I am working on an rainfall analysis and I have to interpolate some datas with kriging method. Is co-kriging suitable for the rainfall analysis?
5
votes
1answer
107 views

Can I “stack” semivariogram data?

I have several synoptic measurements (every few months) of a gravity field I would like to interpolate by kriging. Each group of measurements comprises about 45 measurement locations, and spatial ...
5
votes
1answer
3k views

Performing Ordinary Kriging in SAGA via QGIS SEXTANTE Plug-in?

I'm trying to learn how to apply the kriging analysis in QGIS using the SEXTANTE plug-in and SAGA tools. It appears that I have my SEXTANTE and SAGA folders configured properly according to the user ...
5
votes
1answer
1k views

Interpolating Maps - Statistical Learning Techniques vs Spatial Statistics Techniques

I have recently begun experimenting with the interpolation of variales over a whole country. I have good sized training set where I have several dependant variables (continuous and categorical) ...
5
votes
1answer
218 views

Kriging to calculate forest biomass?

I am trying to create biomass map using Kriging from ground sample point. I have about 150 and 53 point plot for dense and sparse strata. The data is not normal so I have transformed it. After ...
4
votes
1answer
162 views

Validity of ordinary kriging of polygon centroids

I'm in a discussion with a colleague who believes that kriging should not be used to interpolate a surface from polygon based data (i.e. with kriging applied to centroids), because this effectively ...
4
votes
1answer
1k views

book/tutorial on using rpy2 in python for kriging?

I am proficient in Python, but have no knowledge of R. Can you suggest a good tutorial in using rpy2 or any other R library to perform Block/Cokriging "Kriging"
4
votes
1answer
1k views

How do I implement 'weighted' kriging in R?

I'm trying to interpolate the values of an attribute (called "disease_rate") that i've sampled at a set of spatial points and i'd like to add 'weights' to the resulting kriging estimates. Basically, ...
4
votes
0answers
118 views

Interpolating species data from sample points in a small area [closed]

I have sample data from a small site (10 acres) which shows the number of occurrences of a particular species of snail over two sampling periods (fall and spring sampling). I want to try and ...
3
votes
2answers
614 views

Strange spatial interpolation results from ordinary kriging

I'm using Ordinary Kriging to interpolate a set of spatial data. I'm working on different sets which represent different days of measurement. I get good results, apart from one specific set. Will post ...
3
votes
2answers
246 views

Kriging values greater than the most extreme value of the input layer?

I'll admit I don't understand kriging to the fullest. Yet, I've read that the weights should add up to 1 as in IDW and Natural Neighbors. However, surrounding the biggest elevation points of my ...
3
votes
1answer
336 views

Generic comparison for kriging in geoR and ArcGIS

I am going to do a project based on kriging. The targeted area would be as big as United States and my grid would be 10km*10km. I am wondering the differences of efficiencies for the methods ...
3
votes
2answers
147 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 ...
3
votes
1answer
3k views

How to install SDA4PP plugin for Kriging in QGIS?

I am trying to do kriging in QGIS. I have loaded the SDA4PP plug in. Almost all of the items in the SDA4PP dropdown menu are not highlighted and are unresponsive when clicked on - including the ...
3
votes
1answer
317 views

Integrating DEM within kriging and other interpolation methods?

I would like to see the difference of including DEM in interpolation from without. Some studies on climate data interpolation suggest that interpolation performs better with DEM. How do I do this in ...
3
votes
1answer
70 views

Spatio-temporal kriging - useful if not interpolating to new time points?

I have data measuring a variable Z say at several locations on a fixed network (each location at a fixed longitude and latitude). values of Z are measured daily at the same time. At the moment I am ...
3
votes
1answer
81 views

Variogram for data along linear routes

I have a dataset of some measurements along a bus route (image below). The purpose of my study is to be able to detect the values at any location along the route using Kriging interpolation. I have ...
3
votes
2answers
81 views

Isolation and interpretation of vineyard multispectral data

I have 3 band multispectral raster imagery over a vineyard from which i have created a number of indices e.g. NDVI. The data is fairly high resolution (5cm/pixel) so shows a lot of along vine and ...
3
votes
1answer
330 views

Is co kriging appropriate for interpolation of three spatial co variates?

I want to estimate an interpolation model(s) for daily minimum temperature, daily maximum temperature and daily rainfall. I have samples of approximately the same size for all three variables at ...
3
votes
1answer
758 views

Keeping unchanged observed values after kriging interpolation

Is there a way to force kriging to keep unchanged measured values of observation points? For example: if the observed value of a location is 1, after the interpolation it could be 0.9 or even 0.5, ...
3
votes
1answer
1k views

Three-dimensional interpolation of temperature profiles using gstat in R?

I'm working on a problem in which I'd like to interpolate a set of oceanographic temperature profiles over a three-dimensional matrix of unsampled x, y, & z locations. The data to interpolate is ...
3
votes
0answers
48 views

Choosing interpolation method for monthly atmospheric parameters derived from AQUA/Air satellite?

I want to investigate atmospheric refraction and i am using Aqua/ Airs satellite data. These are atmospheric parameters (1) Air temperature (2) Geopotential height (3) Relative Humidity All these ...
3
votes
0answers
104 views

Interpreting Global Moran's I and should I krig?

I am trying to weigh up if kriging (or cokriging) the residual error from my model is a valid approach. My first step was to compute whether the error is spatially autocorrelated. I have done this ...
3
votes
0answers
56 views

Cokriging using categorical covariables in ArcMap?

I am using cokriging to model a continuous variable across my study unit (soil carbon). I have one continuous covariable (soil moisture) but also a categorical covariable (vegetation community). I am ...
3
votes
0answers
134 views

kriging of compositional data (grain size)

I have posted this already in the GEONet Forum but without any suggestions, now I am hoping for some feedback here: I have a problem concerning interpolation of compositional data of grain sizes. I ...
3
votes
0answers
308 views

How to deal with data which are not normally distributed when kriging?

I'm a novice with advanced spatial interpolation, and I'm trying to use the Geostatistical Analyst to interpolate a surface based on borehole data, using Ordinary Kriging. The help file explains how ...
3
votes
0answers
174 views

Missing data and negative predictions - kriging daily rainfall?

I want to perform the interpolation of daily rainfall data for 7 years. I am now working on python using arcpy module. I face several problems while performing interpolation Some day there is no ...
3
votes
0answers
317 views

Empirical Bayesian kriging - does data need to be normal?

With empirical Bayesian kriging (ebk), does the data need to be normally distributed? If I apply a normal score transformation, my data is still not normal. Is ebk kriging thus an invalid ...
2
votes
3answers
410 views

Is kriging an exact interpolation method?

Can kriging be an exact* method? For example, when optimized with the Geostatistical Wizard? Or in any other way? (as far as I know, "normal" kriging isn't an exact method). *exact: predictions at ...
2
votes
2answers
240 views

Indicator Kriging and cokriging using ArcGIS Geostatistical Wizard?

I have a map of vegetation in 1913 for a particular landscape (approx 35,000ha), of which I have data for just short of 60% of the landscape. The limited visibility is due to the coverage being ...
2
votes
1answer
400 views

Kriging inside a PostGIS database?

I use a PostGIS database with temperature data. I want to use a spatial interpolation method but not the supported IDW method. I need to use kriging, but it is not part of the supported interpolation ...
2
votes
1answer
3k 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 ...
2
votes
1answer
875 views

Plotting map resulted from kriging in R

I want to plot a map weighted by prices. I got a data frame of latitudes, longitudes and prices: > str(data) 'data.frame': 1253 obs. of 3 variables: $ lon : num 11.2 11.1 11 11 11.3 ... $ ...
2
votes
1answer
104 views

Problem with regression kriging using the krige command in r

I want to perform regression kriging in R using gstat. I have a SpatialPointsDataFrame which is of this form: After I have run my glm model, in order to see which variables are statistically ...
2
votes
1answer
270 views

Understanding the cell size argument in the kriging tool, ArcGIS

I'm not quite understanding the cell size values that a given raster has. I've been doing some kriging interpolation on very dense point data and if I leave the cell size parameter blank, it's cell ...
2
votes
1answer
130 views

Error in In predict.gstat in R

I am trying to do kriging by gstat pcakge through R. Here is my Code: krg<-krige(var ~ 1,data,grid,model=vgm,nmax=30) But each time I recive this warning: 1: In predict.gstat(g, newdata = ...
2
votes
1answer
325 views

Kriging from raster with missing data in ArcGIS

I have MODIS satellite imagery that depicts a range of surface temperatures. However, many of the cells are missing values. I think I need to perform Kriging in order to obtain an average value for ...