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I was able to deal with location variable being polygons not points:

I was able to deal with location variables being polygons not points:

I was able to deal with location variable being polygons not points:

> head(map_3)
Simple feature collection with 6 features and 4 fields
Geometry type: POLYGON
Dimension:     XY
Bounding box:  xmin: -9.890198 ymin: 30.34965 xmax: -3.802499 ymax: 35.26228
Geodetic CRS:  WGS 84
                  PROV         y      x.x      x.y                       geometry
1 Agadir-Ida-Ou-Tanane  9.809457 46.26182 5.899067 POLYGON ((-9.504189 30.3498...
2             Al Haouz 25.419273 47.62713 2.061563 POLYGON ((-7.344661 31.6732...
3           Al Hoceïma 16.325224 47.36490 2.993311 POLYGON ((-3.926041 35.2609...
4               Azilal 31.601461 48.64625 2.291929 POLYGON ((-5.908287 32.3059...
5          Béni Mellal 17.411668 48.87454 4.155205 POLYGON ((-6.047234 32.7797...
6           Benslimane 18.095435 47.83364 4.523673 POLYGON ((-7.195987 33.1876...

> spdf <- as(map_3, "Spatial")
> DM <- gw.dist(dp.locat = coordinates(spdf)) 
> bw.f2 <- bw.gwr(y~x.x+x.y,data=spdf, dMat=DM)
> res.binomial<-gwr.basic(y~x.x+x.y, bw=bw.f2,data=spdf, dMat=DM)
> summary(res.binomial)
              Length Class                    Mode
GW.arguments  11     -none-                   list
GW.diagnostic  8     -none-                   list
lm            14     lm                       list
SDF           72     SpatialPolygonsDataFrame S4  
timings        5     -none-                   list
this.call      5     -none-                   call
Ftests         0     -none-                   list

But I still can't find anything online similar to my problem, all the resources I found either use proportions as dependent variables, or assign a Yes/No to a location, but nothing like my problem.

Therefore, how can I run a Geographically Weighted Logistic Regression on my data? I just gave the GWModel package as an example; do you know a different package or function that can get the job done?

Therefore, how can I run a Geographically Weighted Logistic Regression model on my data? I just gave the GWModel package as an example; if you know a different package or function that can get the job done, please feel free to use it.