Hello everyone!
The shapefile data shp_mo has been found here: http://gis-lab.info/qa/moscow-atd.html.
(This is the second ESRI shape file)
The federal city of Moscow, Russia is divided into twelve administrative okrugs, which are in turn subdivided into districts (raions). (source Wikipedia)
There are 146 raions, which are the 146 different sub_area in the kaggle datasets.
The issue are the raion names... Those from Kaggle (sub_area) are in English while those on the shapefile (NAME) are in Russian.
I have created a csv-dictionnary which matches everything. 😎
If you want, I already joined both here: shp_mo_kag_SRHM.R.
And you can find the new shapefile here: shp_mo_kag_SRHM
Or directly an R SpatialPolygonsDataFrame object here: mo_SPD.rds that you can read:
library(sp)
mo <- readRDS(file = "shp.rds")I hope this shapefile would help you for the competition. You can for example, easily get the longitude/latitude of the polygons.
Or maybe you just want to plot some beautiful maps 🇷🇺!
I've just started a notebook.
Here are some screenshots of the leaflet visualizations:
factpal <- colorFactor(topo.colors(12), mo@data$OKRUG)
labels <- sprintf(
"<strong>%s</strong><br/>AO: %s",
mo@data$sub_area, mo@data$OKRUG
) %>% lapply(htmltools::HTML)
OKRUGS <- leaflet(mo) %>%
addTiles() %>%
addPolygons(color = "#444444", weight = 1, smoothFactor = 0.5,
opacity = 1.0, fillOpacity = 0.5,
fillColor = ~factpal(OKRUG),
highlightOptions = highlightOptions(color = "white", weight = 2,
bringToFront = TRUE),
label = labels,
labelOptions = labelOptions(
style = list("font-weight" = "normal", padding = "3px 8px"),
textsize = "15px",
direction = "auto")) %>%
addLegend(pal = factpal, values = ~OKRUG, opacity = 1)
OKRUGS
