h3r
Uber's h3 geographical indexing library bindings for the R Programming Language.
What?
- h3
- It is a way to index coordinate data into hexagonal bins
- So far, implemented methods help you
- Convert coordinates to an index identifier (a unique ID for your hex)
- Convert coordinates and index identifiers to a bounding hexagon
Usage
Prerequisites
- h3. You'll need to follow the installation instructions.
- Linux. I haven't tested the build on OSX but I don't expect it to work, and I'm pretty sure it won't work on Windows.
Examples
Houston <- list(lat = 29.7632836, lon = -95.3632715)
getIndexFromCoords(Houston$lat, Houston$lon, resolution = 5)
# [1] "85446cabfffffff"
hex <- getBoundingHexFromCoords(Houston$lat, Houston$lon, resolution = 5)
hexTib <- dplyr::bind_rows(hex)
hexTib
# # A tibble: 6 x 2
# lat lon
# <dbl> <dbl>
# 1 29.60453 -95.35630
# 2 29.67752 -95.28924
# 3 29.76643 -95.32811
# 4 29.78236 -95.43420
# 5 29.70931 -95.50129
# 6 29.62039 -95.46226
# We can plot the hex in leaflet
library(leaflet)
library(magrittr)
leaflet() %>% addTiles() %>% addPolygons(lng = hexTib$lon, lat = hexTib$lat)
# We can plot the hex in ggmap
library(ggmap)
ggmap(get_googlemap()) + geom_polygon(data = hexTib, mapping = aes(x = lon, y = lat))