Questions tagged [spatial]
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.
907 questions
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Matérn hard-core thinning of a binomial point process?
The Matérn hard-core processes (I and II) are defined as dependent thinnings of a Poisson process with intensity $\lambda$. The intensity of the Matérn process and the various moments of the process ...
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How to determine unit size for Taylor's Power Law?
How to determine unit size for Taylor's Power Law to assess overall degree of heterogeneity in spatial patterns? I tested eight different varieties (A, B, C, D, E, F, G, H) in the field against a ...
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Can I include latitude and longitude as fixed effects along with a Matern spatial correlation term in spaMM?
I’m modeling body mass in relation to differente variables, but I also need to account for spatial autocorrelation. My current approach uses spaMM with a Matérn correlation term based on coordinates.
<...
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Spatial and temporal variance partitioning with missing values
I have a gridded dataset indexed by time and space, represented as a $m \times n$ array. I'm following along with Eq. 10 in this paper to partition the variance in this data over space and time. ...
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Does anyone have recommendations for handling uneven spatial sampling in a Poisson model?
I am a wildlife biologist so forgive me if I seem statistically naive (I am). I have a wildlife disease sampling dataset, where we are interested in how disease outcomes vary in relation to ...
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Spatial Autocorrelation of Residuals
I am running SDM model with time and spatial fixed effects. When I apply, Moran's I test on the residuals of the model, I get the significant spatial autocorrelation. Why is it the case that I get so ...
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Determining Sample Representativeness of Lat/Long Points
Let's say I have 100,000 points where each point represents a customers location in a given city. A third party has visited 10,000 customers and recorded information from them. I do not have access to ...
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Uncertainty ellipse on (x, y) location using azimuthal measurements from network of points [closed]
I am working on a problem relating to the 'distinguishability' of a source, that is, given a network of points in space where measurements of the azimuth to the source can be made, I would like make a ...
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Finding spatial spillover effects of cement production in Germany (2018-2022)
I am currently estimating spatial spillover effects of cement production on air pollution in Germany from 2018 to 2022. I am using a spatial SDM model and I have enough control variables. However, I ...
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Agreement metric beween spatial variables other than correlation
Given a map of the observed cover of a tree species, and another map of the predicted cover according to a given model, I want to quantify the agreement of the prediction with the observations.
Both ...
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Can a lat/lon covariate replace a random (location) intercept?
I'm interested in modeling the spatial component of my data (counts), but I also have a random intercept for site (repeated measure design, n=47, over 17 years). The area sampled are roughly the same, ...
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Suitable metric to compare between two counts for H3 data
I have a set of H3 hexagons (spatial clustering of data) with counts for each hex over 2024 and 2025. I want to plot the relative change in counts for each hex, but my current method is unacceptable: ...
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Generalized Random Tesselation Sampling without a design-based estimator
I'm interested in using Generalized Random Tesselation Sampling to get a spatially balanced set of sample points in a study. However, the quantity I want to compute over the spatial area is a ratio, ...
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Spatial modelling of individual data measured at areal level
I'm new to spatial modelling, and I'm having trouble finding the right modelling method for my problem.
My data relates to accidents. For each individual, I have a clinical score measuring the ...
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Can I cluster data based on their location and use it to account for spatial autocorrelation in my GLMM model?
I am trying to understand species presence (1/0) within protected areas in Africa using a set of predictor variables. My data is not nested and contains no hierarchies within it.
My question pertains ...
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