# 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 ...
244 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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### 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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### 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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### 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 ...
113 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 ...
319 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 ...
290 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 ...
92 views

### 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.
569 views

### 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? ...
14 views

### Interpreting results from GWR - intercepts

I am currently employing GWR to analyze the following relationship: average travel time of an area = distance of it from the city centre + income of an area Further to note, correlation between ...
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### Geographically Weighted Regression

I am using Geographically Weighted Regression (GWR) to predict future water demand in a city. My dependent variable is the current water and I have 4 explanatory variables. I ran GWR using the current ...
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### Spatial LAG regression towards a categorical variable

This a theoretical question, so I apologize if this is not the appropriate place to ask it. Is it possible to apply Spatial LAG regression towards a categorical variable? In my experiment there are ...
29 views

### Geographically and Temporally Weighted Regression on ArcMap

I am trying to run some analysis on Arc Map (Arc-gis 10.5) using the Added-in tool Geographically and Temporally Weighted Regression. However when I input features (my file) on the input features box, ...