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hexify

Equal-area hexagonal grids for spatial analysis

Assign geographic points to hexagonal cells using the ISEA discrete global grid system. All cells have the same area regardless of latitude.

Installation

# install.packages("pak")
pak::pak("gcol33/hexify")

Quick Start

library(hexify)

# Your data
cities <- data.frame(
  name = c("Vienna", "Paris", "Madrid"),
  lon = c(16.37, 2.35, -3.70),
  lat = c(48.21, 48.86, 40.42)
)

# Create a grid and assign points
grid <- hex_grid(area_km2 = 10000)
result <- hexify(cities, lon = "lon", lat = "lat", grid = grid)

# Visualize
plot(result)

Key Features

• Equal-area cells: No latitude distortion
• Simple workflow: Define grid once, reuse everywhere
• Fast C++ core: Handles millions of points
• sf integration: Works with any CRS
• dggridR compatible: Same cell IDs for interoperability

Learn More

• Quick Start - Basic usage and concepts
• Visualization - Plotting options
• Workflows - Grid generation, spatial joins, multi-resolution analysis

Support

“Software is like sex: it’s better when it’s free.” — Linus Torvalds

I’m a PhD student who builds R packages in my free time because I believe good tools should be free and open. I started these projects for my own work and figured others might find them useful too.

If this package saved you some time, buying me a coffee is a nice way to say thanks. It helps with my coffee addiction.

License

MIT

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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