Questions tagged [geographically-weighted-regression]

GWR or Geographically Weighted Regression is a local version of spatial regression that generates parameters disaggregated by the spatial units of analysis.

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Geographically weighted regression for GPS tracking data?

The study I am working on has GPS locations at 4 hourly intervals of 5 lions in 3 National Parks over roughly 2 years in Namibia. I have been applying Geographically weighted regression analysis to ...
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329 views

Exploring the association between two variables on QGIS

I am doing a project on primate electrocutions. I have primate population density data - in the form of point data for each troop, and in the attribute table I have the total number of monkeys for ...
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R geographically weighted regression with negative binomial distribution

I'm trying to find a R package that allows me to do geographically weighted negative binomial regression. I'm aware there's 'spgwr' and 'glm.nb' package. But is there a package that combines the two? ...
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Ordinary Least Squares Checks Prior to Geographically Weighted Regression and what to do when the Jarque–Bera Test is Significant

I have read that the following 6 criteria need to be met for the OLS model with respect to variables prior to performing a GWR on them: (Is this correct?) and ... 1) Spatial Autocorrelation (my ...
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What is the difference between spatial heterogeneity and spatial nonstationarity?

Until recently I though both terms refer to the same concept. Most scientific literature seems to use these terms also interchangibly. However, here the authors say: Spatial heterogeneity refers ...
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Google maps: weighting of data

When you create a map in Google Fusion Tables, there's an option to weight your geographical data points against data in another column. What is the math behind this weighting?
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277 views

Small sample size for geographically weighted regression; limitations

I am studying West Nile Virus risk factors in a specific county using mosquito surveillance data over a ten year study period. The highest resolution of the mosquito data that could be obtained was at ...
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129 views

Assesing covariate significance in geographically weighted logistic regression?

In a logistic regression the significance (p) of each covariate can be calculated. For the case of a geographically weighted logistic regression (GWLR), I currently am working on a model for event ...
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380 views

Interpolating geographically weighted regression (GWR) - fit to raster?

Using the spgwr package I followed this tutorial and found a way to interpolate the result to a raster layer (gwr on pixel/raster data using the meuse data set, further down the script). But the ...
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367 views

GWR- interpreting standard residual and local R-square

I have run GWR for a layer with polygons. For some features the Std Residual has high value as well as the local R-square. How is this possible? If std residual is high, the predicted value will ...
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Performing Geographic Weighted Regression (GWR) in Java?

Is there any existing GWR (Geographic Weighted Regression) packages in Java? The packages should be able to conduct the basic GWR, the bandwidth optimation and some significance test.
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GWR: “Local R2” vs R2

GWR: What is the difference between "Local R2" and R2 is the result of GWR. In the output table, I have an R2=%70 but in another table, the maximum Local R2 has been reported as %21.
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Is there an R function for creating spatial weight matrix for “spatial difference in differences” method?

I am trying to apply "spatial difference in differences" method in R for a US county's block groups (n block groups) over 2 different times (2000 and 2015). In order to do this spatial ...
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Accounting of strength of spatial autocorrelation between some grocery stores in distance 500 meters

I'm analyzing sales one supermarket chain and I want to know how other neighborhood stores influence on turnover store. I have data about other stores and their location. As a result, I need to get ...
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19 views

Does GWR only work with point data?

I'm currently working on a dataset where observations are only given very general location information, eg. counties they are in, the whole dataset is on country level scale. I used OLS to analyze and ...
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Joining points to polygons (Tobacco Retailers to census tracts)

I'm attempting to join points to polygons but I fear it is severely skewing my analysis. I did a spatial join to join the retailers to their respective tracts. However, when I do spatial analysis ...
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370 views

Estimating kernel bandwidth function with cross-validation gwrr package?

I am relatively new to R. I am attempting to use the gwrr package because I suspect that local collinearity may be an issue in my geographic weighted regression model. If I am not mistaken, I first ...