The field of study concerning statistical methods that use space and spatial relationships (such as distance, area, volume, length, height, orientation, centrality and/or other spatial characteristics of data) directly in their mathematical computations.

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Ggplot gives “arguments imply differing number of rows” error in geom_point while it isn't true - how to debug? [migrated]

I have two objects of type Large SpatialPointsDataFrame named st2 and st10. They come from the same source. They both plot without problems with: plot(st2) or ...
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1answer
26 views

How to determine if there is a spatial dependence in data?

My data consists of data measured at different positions (250 measurements in a 5x5 grid). It has been proposed that results may be somewhat dependent on the position. Looking at the data I don't ...
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31 views

PCA on spatial precipitation data time series

I have precipitation time series data stored in a 3D matrix called 'pre' (dim1/2=position (index), dim3=time). I want to do a principal component analysis in order to detect the main variance and thus ...
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16 views

Residuals plot from ripley K function on spatstat

I am a rookie on R and on spatstat package. I would like some help with the Kres function on spatstat. As is always wise to plot the residuals from any kind of ...
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1answer
36 views

Bayesian models vs Bayesian network models

I'm new to statistical modeling and working on applications in spatial property prediction. Can you help me understand the difference between a hierarchical bayesian model and a bayesian network ...
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31 views

How to deal with underdispersion with binomial data

I'm working with a pretty large dataset (n = 4,500) where 10% of my points (pixels in a GIS landscape) are 1s and the rest are 0s. The full model for my data looks something like this: ...
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16 views

About Hypothesis Test In Spatial Regression

I'm doing estimation of spatial lag/error model using R package "spreg"/"spdep". But I can't find any method to do hypothesis test after regression. For example, I want to test whether two ...
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33 views

Spatial analysis separating size from location in mri

Has anyone seen, done or understand how I can go about analyzing MRI datasets that have been registered to standard (MNI) space. What I´d like to do is analyze the effect on survival of lesion volume ...
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31 views

Spatial cluster analysis

Let's say I have a structure like this : This is a spatial region with measurement of plant population in each site. Black and red represent two regions with different intensities.The question is ...
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22 views

Bayesian Spatial Prediction: What is f?

I'm working my way through Gelfand, A.E. & Li Zhu, B.P.C. (2001). On the change of support problem in spatio-temporal data. Biostatistics, 2:1, 31-45. I'm stuck at: This is absolutely the ...
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1answer
123 views

Plotting a “posterior median surface”

As part of reproducing a model I described partially in this question on Stack Overflow, I want to obtain a plot of a posterior distribution. The (spatial) model describes the selling price of some ...
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58 views

Statistical methods to compare spatial maps

I would like to compare 4 radon flux maps (Bq m-2 s-1) generated using different methods. All of the maps use same projection and have same resolution. I am having trouble finding statistical ...
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29 views

Find linear subsets in a 2D point (xy) data [duplicate]

My problem is the very idea of how to start the analysis of 2D point patterns, specifically how to find linear trends within their spatial pattern. I have XY data points which are organized like in ...
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36 views

'Extrapolate' a probability density to a different support

here is my scenario: I have N triangles and N probability distributions (of independent variables), and the support of the ith probability distribution is just the ith triangle. The triangles may ...
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1answer
38 views

Principal component (PC) as a substitute for colinear covariates?

I am working on a spatial linear regression and I can tell there is collinearity between covariates. Can I use PCA (Principal Component Analysis) images instead of original covariates to estimate the ...
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1answer
23 views

online resources for spatial analysis [closed]

I am wondering about some good online resources for learning how to implement spatial statistical techniques, like Moran's I and Geary's C, or even K Nearest Neighbors...any help is appreciated. ...
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27 views

Testing if points on a line are over/under dispersed

I have a series of about 1000 points on a chromosome and I want to know if they are clumped, over-dispersed, or neither. The chromosome can be viewed as a 1-dimensional. I've looked over some ...
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1answer
97 views

Why do you have to provide a variogram model when you are kriging?

I am very new to spatial statistics and watching lots of tutorials, But I don't really get why you have to provide a variogram model when you krige. I am using the gstat package in R, and this is ...
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28 views

Geographically Weighted Regression in MATLAB

Does anyone know how can i perform Geographically Weighted Regression in MATLAB?i am a newbie. also, can someone provide sample in solving GWR?
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1answer
15 views

Including covariates increases spatial patterning rather than reducing it

I am fitting a series of Bayesian spatial models with an intrinsic conditional autoregressive (iCAR) structure. In these models, I begin by fitting an empty model (null) and then add successive sets ...
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1answer
30 views

Spatial partitioning of direct, indirect and total impacts

I am trying to reproduce table 2.1 (p. 41) of LeSage and Pace (2009) by means of the open R software. This is a table containing the direct, indirect and total impacts of a SAR model (since the ...
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1answer
38 views

Geographic regression

I'm working on a project to estimate real estate and started with some classique techniques, such as linear regression etc. The obtained results are already going in the good direction, but to get ...
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1answer
54 views

Spatially auto-regressive two-stage model

I'm working on a project in which I use a 'Generalized Spatial Two-Stage Least Squares' model, mostly known as $y= X \beta + \lambda W y + u$ and $u = \rho M u + \epsilon_n$ where $y$ and $u$ are ...
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11 views

Adding the variances of spatially correlated data

I have a geographical grid, for every cell in that grid I know that the variable I am looking at is normally distributed and I have its mean and variance. Now, imagine I am looking at an individual ...
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1answer
41 views

Disaggregation of spatial autocorrelation parameter

I have data aggregated at state level. When I estimate a spatial autoregressive model such as $$y = \rho W y + X\beta + \epsilon$$ on this data, I see that the autoregressive parameter $\rho$ is ...
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1answer
33 views

Classifying a set of photos to places

I want to cluster photos and map them to places. As input I have Photos with locations (lat, long) Places - some as (imprecise) bounding boxes, some just as points, maybe others as bounding ...
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38 views

Probability of vector similarity wrt dimensionality

I'm trying to show that the probability that two vectors are similar to each other increases as the number of dimensions decreases. I define similarity between two vectors $a = [a_1, a_2, ..., a_n]$ ...
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73 views

(Spatial) distance between cluster means

I'd like to cluster points based on a distance criteria. As I want to cluster spatial points I am using euclidean distance and a hierachical cluster approach. In a final step I'd like to cut the ...
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1answer
84 views

Analysis of spatial data over time and space

I have a data set having year-wise monthly average of minimum and maximum temperatures of 32 stations around the country since 1948. The latitude and longitude of the stations are given as well. I ...
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18 views

Is lm.morantest valid on residuals from geeglm fit of binary data?

Is it valid to apply lm.morantest (in the package spdep) to test for spatial autocorrelation among residuals from a Generalized Explanatory Equation (geeglm in geepack) model fit of binary data? If ...
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61 views

Significance of Spatial Data

Background: It's common in many aspects of science to want to determine if the trends shown in spatial data are significant. In my field of familiarity, climate science, authors often show the ...
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1answer
95 views

What is the difference between (universal) kriging and spatial autoregressive models?

As part of a course on missing observations in social/survey statistics I am trying to explore existing methods of predicting either point pattern or polygon data. I got quite confused by all the ...
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1answer
15 views

Similarity between two samples of spacialized data ignoring local fluctuations

I have data from a set of sensors, and would like to measure similarity between two samples of data ignoring local fluctuations. My problem is, my sensors are not regularly placed : some are quite ...
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55 views

Time series, x-y coordinates, regression, R [closed]

I have data in the form of these columns: date, x coordinate, y coordinate, value A, value B, value C, value D, etc. (I don't see the possibility to copy an ...
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27 views

Spatial and temporal effects in water quality data

The data I have is 20 sampling points in a water distribution network that have been sampled weekly during 4 months for different parameters (chlorine, turbidity, disinfection by-products, ...). Some ...
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32 views

Statistical test for spatial difference of incidents

I have an area divided into grids. I'm looking for a method to determine statistically, if the occurence of criminal incidents for two time periods is significant equal. I have two datasets with ...
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1answer
41 views

spatial-location/time-series prediction models

How efficient it is to build predictive model. However, every crime is dependent on three factors: Time, Spatial Location and people behavior. Statistically, we can't measure people behavior (we ...
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1answer
77 views

Is a valid correlation function on $R^2$ (a plane) also a valid correlation function on a cylinder

Suppose to have a valid correlation function on $R^2$ that depends on the distance. For example if the distance between two point is $h$, the correlation function can be $\exp(-\phi h)$, where $\phi$ ...
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1answer
88 views

Test for Complete Spatial Randomness taking into account background distribution

I have a set of points on a grid which is a subset of a larger background set of points on a grid. I would like to test if the subset points are randomly distributed (or not). If it helps, here is ...
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17 views

SPM for spatial analysis

Do you know of any study where researchers have used Statistical Parametric Mapping for spatial data only? I found a lot of studies that used it for time-series analysis, but does this analysis work ...
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1answer
107 views

What causes a U shaped pattern in the spatial correlogram?

I've noticed in my own work this pattern when examining a spatial correlogram at varying distances a U-shaped pattern in the correlations emerges. More specifically, strong positive correlations at ...
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70 views

How to interpret coefficients in the spatial lag and spatial durbin model?

How do I interpret the coefficient for the spatially lagged dependent variable in the spatial lag model or spatial autoregressive model (SAR) (y = αιn + ρWy + Xβ + ε) and how do I interpret the ...
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0answers
53 views

Hypothesis Testing with Spatial Data

I have production data for several wells. I know that a subset has been treated with a product, and I'd like to determine if the difference in production is due to the product treatment, or the ...
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51 views

Spatial patterns analysis for images

i have done some research about spatial patterns analysis, using some spatial statistics mesures, all the cours that i found talks about spatial statistic in the context of GIS, in the context of ...
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13 views

Observed versus Synthetic data

I am looking for studies that compare different spatial interpolation methods for observed data. However I am looking for studies that have also compared observed with generated synthetic data. For ...
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2answers
80 views

Find the midpoint of S-curves with R

I have a bunch of curves that look like S-curves (stored in a db with Point format) and I am interested in finding this midpoint between both horizontal asymptotes for each of them. So, if X-axis ...
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113 views

Variance Inflation Factor to Address Spatial Grouping with Binary Dependent Variable

I want to obtain reliable standard errors of the estimated coefficients from a regression of y on x. The observation for each individual consisted of a value of the y variable, which is binary, and a ...
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17 views

How can I compare the deviation from CSR in different point patterns?

I recently discovered the many tools of point patterns analysis and this is a very interesting field. I read a lot about how to look for deviations from complete spatial randomness (CSR) and I am ...
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29 views

Pseudo-$R^2$ in spatial regressions and Kelejian-Robinson test in R

I am currently trying to find out if there is a way to calculate a pseudo $R^2$ value from the output of maximum likelihood estimation of the spatial error model, and maximum likelihood estimation of ...
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3answers
323 views

statistical method for spatial correlation between images

I am working on analyzing a data set and I was wondering what would be the most statistically valid method of demonstrating that there is a strong spatial correlation between images. I have a data ...