Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

Questions tagged [spatial-interaction-model]

23 questions
7
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4 answers

Account for spatial autocorrelation with a binomial regression model

I am using a binomial regression model for presence/absence, with 20 independent variables to test. The data has x and y coordinates and I would like to understand how can I take into account the spatial autocorrelation. I already studied the…
Gago-Silva
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4
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2 answers

How to analyse spatial data where the depending variable is binary

I have to test which factors influence game damage in fields. I mapped areas with damage and those without. It was not always possible to map 100% of a field, so there are also areas where it is unsure. Since the "unit" damage is not objective…
meles
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3
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At what spatial scale should PCA be analysed on? Why do the loadings appear so different at each scale?

My dataset has 6 sites. Each site has four quadrants (qi) that I sampled for 12 months to estimate species abundances. I Hellinger transformed the data prior to the analysis. For each quadrant I have environment data - temperature, salinity, pH etc.…
Biotechgeek
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3
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1 answer

Point process model diagnostic: Nearest-Neighbor Distance Distribution or Pair Correlation Function?

I have a point pattern which is clearly inhomogeneous. Furthermore, the inhomogeneity has two components: a large scale effect and a local scale effect. I have constructed a Markov point process model to capture these two first order intensity…
NamelessGods
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3
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Whats the deal with Spatial Durbin Models and non-spattial interactions?

I have really been curious about this, but I have been searching around for studies which utilize Spatial Durbin models and I have yet to find any one model that has incorporated the use of interaction effects. For instance, imagine it a Durbin…
JellisHeRo
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3
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2 answers

Are the $1-SSe/SSt$ and $cor^2$ calculations of $R^2$ always equivalent?

I am trying to calculate the $R^2$ value for a production constrained spatial interaction model, using Fotheringham and O'Kelly (1989) as my guide. I get dramatically different values for R-Square, depending on whether I calculate it as r-square <-…
fmark
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Performing spatial logistic regression in R

I am trying to perform a logistic regression with the following code Y ~ x1+x2+x3,data=data, family=binomial(link="logit"). However on inspection of both the outcome and predictors i noticed that they are characterized by spatial…
Paulo
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3
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1 answer

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 have been asked to dig deep into the data set and…
Blain Waan
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Variable reduction with multiple groups of highly correlated variables, and variable-specific nonlinear interactions

Are there any techniques to perform dimensionality reduction with multiple groups of highly correlated variables, and variable-specific nonlinear interactions? See the specific details below. I am interested in efficiently identifying the variables…
Julie
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Handling error with spatially lagged variable that is related to but distinct from outcome variable. SAR, CAR, Durbin, or lagged X?

I am estimating a diffusion model in which I am using spatial lags to predict an outcome variable, but I'm having trouble specifying the distribution of the error term because the lagged variable is related to, but not the same as, my outcome…
Reen
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Negative spatial correlation interpretation

I'm estimating a spatial lag model that tests whether the geographical closeness on stores has an effect on sales. I have a negative, statistically significant rho coefficient for my spatial weight matrix. I'm a bit confused about the…
stevensallright
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Struggling to make sense of coefficients in production-constrained spatial interaction model (Poisson)

I'm having a hard time trying to understand what is the meaning of the coefficients of a production-constrained spatial interaction model re-specified as a Poisson linear regression model. Following this guide to run a production-constrained spatial…
guillermo_dangelo
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How to validate or make predictions from a spatial Cox PH survival model built with R-INLA?

I'm trying to model deforestation as a survival analysis. I have a raster map where unaffected areas are zero and deforested pixels have values 1-20 depending on the year of deforestation (2001-20). I take 10km square grids as 'individuals' and…
Michael Smith
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1
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1 answer

Diagnostics of spatial regression residuals in R

I fitted multiple spatial regression models - spatial lag model, spatial error model and spatial durbin model. My question is, how do I check the assumption of normality on errors? In classical linear regression, the diagnostics is done on…
MaryBerryCherry
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why variogram models take only one independent variable

lznr.vgm = variogram(log(zinc)~sqrt(dist), meuse) i am using meuse data for practicing to create variogram models, but i am confused to know there are 14 variables of this data , then why variogram calculate by only one predictor (dist). they dont…
rizwan niaz
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