A rust crate for building zones.
It is an in-progress project to implement the functionality in the zonebuilder
R package in the systems programming language Rust.
Why?
extendr
To install the zonebuilder
crate, you need first install Rust.
Install the latest version on crates.io with
bash
cargo install zonebuilder
You can install the development version as follows:
bash
cargo install --git https://github.com/zonebuilders/zonebuilder-rust --branch main
Rust can create binaries for all major operating systems. Watch this space for how to run zonebuilders using a binary (no compilation or Rust toolchain required).
The zonebuilder
binary has a command line interface.
Assuming you are installing the crate locally, you can build the binary for Windows, Mac and Linux system shells as follows:
{r, engine='bash'}
cargo build
You can see instructions on using the tool with the following command:
{r, engine='bash'}
./target/debug/zonebuilder -h
Let's try making zones with fewer segments and circles (specified by the -s
and -d
arguments respectively):
{r, engine='bash'}
./target/debug/zonebuilder -s 3 -d 1.0,3.0 > zones.geojson
The The result looks like this:
{r, echo=FALSE}
z = sf::read_sf("zones.geojson")
plot(z, key.pos = 1)
You can also set the precision of outputs. The default is 6 decimal places, as shown in the output below:
{r}
head(sf::st_coordinates(z))
Let's see the output when a precision of 2 decimal places is used:
{r, engine='bash'}
./target/debug/zonebuilder --precision 2 > zones.geojson
That results in this:
{r, echo=FALSE}
z = sf::read_sf("zones.geojson")
plot(z)
You can run the crate as follows (note the use of --
to pass the arguments to the zonebuilder binary not cargo run
):
{r, engine='bash'}
cargo run -- --precision 3 > zones.geojson
Take a look at the output:
{r, engine='bash'}
head -n 20 zones.geojson
Then read in the GeoJSON file with another tool, e.g. R (this step runs from an R console that has the sf
library installed):
```{r circle} zones = sf::read_sf("zones.geojson") plot(zones)
file.remove("zones.geojson") ```
You can generate the same plot in R with the zonebuilder
package as follows:
{r rversion}
zones = zonebuilder::zb_zone(x = "london", n_circles = 5)
plot(zones$geometry)
```{r engine='bash', echo=FALSE, eval=FALSE} cd pwd
```