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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18 views

online resources for spatial analysis [on hold]

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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21 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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78 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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15 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
13 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
25 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
35 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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7 views

Neighbours list extracted out of polygon regions [migrated]

I've got a SQL database which contains some coded polygon structures. Those can be extracted as follows ...
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27 views

R: Package 'sphet' on spatial autoregressive models

I'm using the function gstslshet from the package sphet in R, but I'm wondering what the outcome is. Is it a model which can be ...
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1answer
48 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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9 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
33 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
29 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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37 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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53 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
69 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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12 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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51 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
62 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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45 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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23 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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0answers
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
33 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
71 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
69 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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14 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
90 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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43 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
46 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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43 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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12 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
67 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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0answers
109 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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16 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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23 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
289 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 ...
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0answers
19 views

How to extract “average polyline” from a set of polylines [duplicate]

EDIT: As pointed, there is already a similar question "buried" inside a larger-scope one. I'll reproduce the relevant part here: If I have multiple recordings of the same routes are there any ...
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1answer
62 views

Reference paper and/or books about spatial data analysis, possibly bayesian

It is for my master thesis, I need to go more in depth. Any suggestion about recent works is really welcome.
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1answer
70 views

Probability of overlap of areas in 2D space

Assuming I observe, in a unit square, $n_1$ circles of area $A_1$ (non-overlapping amongst themselves) and $n_2$ circles of area $A_2$ (again, non-overlapping) and that each of the centres is ...
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41 views

How to measure/clarify a possible relationship between two spatial points using R

I'm quite new to the area of spatial statistics, but I'm very interest in some general principles. The last two weeks I've created an example dataset, which contains three datsets. A dataset of ill ...
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51 views

Spatially explicit model to test effects of multiple variables

What is the appropriate model to test the effects of location, species, and size on tree growth? So I have both categorical and continuous variables I want in the model. The following graphic just ...
2
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1answer
141 views

What's so Poisson about a Poisson Point Process? (or, can I generate one using random ordered pairs?)

I know there is an R spatstat function to generate a ppp (Poisson Point Process), but I'm working in python, and I am not clear what spatstat.ppp is doing behind the scenes. If I generate a an ...
2
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0answers
78 views

Genetic distance over spatial scales

I have matrices of genetic distances for x number of individuals within a population and their corresponding point coordinates -one genetic distance matrix per point coordinates. I was imagining ...
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0answers
19 views

How to interpret the selection of a variable in a model (GLM) when spatialautocorrelation is included?

This is a pretty straightforward question. I am comparing outputs of two models (binomial GLM) one including environnmental-only (ENV) variables and one including environmental and spatial variables ...
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1answer
130 views

Does RandomForest ignore spatial independence?

I have 5 variables for each countries of the world and I need to analyze their effect and interactions on an independent variable. Random Forest would be adequate for my scope as it deals with ...
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36 views

Given a sample of time-series spatial data, how do I determine the minimum number of spatial points that is statistically similar to the large set?

I have a solar irradience data set that was generated from 45 independent stations within a square mile. The stations are more or less regularly spaced in a grid. The data are 1Hz and are all ...
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0answers
59 views

Strange results in kriging with geoR. Is this a bug? Am I doing something silly? Or is this data set just unfortunate?

I am performing kriging on a large number of relatively modest data sets (144 data points on a 9 x 16 grid in each data set). I was experimenting with different variogram models and other parameter ...
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124 views

Creating semi-random planting designs in R

I want to use R to create 'random' planting plans - drawing plants manually (CAD) is neither random nor efficient - my aim is a list of plants, within an irregular region, (up to 10,000 plants) with ...
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31 views

What is the distribution of edge lengths for a Euclidean minimal spanning tree?

Suppose that you have a Poisson point process in $\mathbb{R}^d$ with rate (density) parameter $\rho$; I particularly care about $d=2$ if there is a solution in this special case. Given a finite ...