Find relationships in a series of location assuming [A,B,A] implies A->B->A and A,B are of
type Point.
Simple lib to find outliers or path taken less or more frequently than others.
We store location in form of Point(x: f64, y: f64), they are automatically rounded off to 3 decimal places when using
new method on Point. We assume x,y are latitude and longitude and don't need more than
3 decimal places of precision.
Use cargo doc --open for documentation or view it here
Relevant xkcd
Usage:
```rust use location_outliers::{Point, PointPlane};
fn main(){ let a = Point::new(0.123, 0.123); let b = Point::new(1.123, 1.123); let c = Point::new(2.123, 2.123); let d = Point::new(3.123, 3.123); let e = Point::new(0.123, 0.123); let f = Point::new(1.123, 1.123);
let points = vec![a, b, c, d, e, f];
let k = PointPlane::new(points, 100);
println!("{:#?}", k);
} ```
Output:
PointPlane {
points: {
"3.123 3.123": 1,
"1.123 1.123": 2,
"0.123 0.123": 2,
"2.123 2.123": 1,
},
graph: Graph(
{
Connection(
"3.123-3.123",
"0.123-0.123",
Cell {
value: 1,
},
),
Connection(
"1.123-1.123",
"2.123-2.123",
Cell {
value: 1,
},
),
Connection(
"2.123-2.123",
"3.123-3.123",
Cell {
value: 1,
},
),
Connection(
"0.123-0.123",
"1.123-1.123",
Cell {
value: 2,
},
),
},
),
accumulate_xaxis: SimpleAccumulator {
vec: [
0.123,
1.123,
2.123,
3.123,
0.123,
1.123,
],
mean: 1.289666666666667,
population_variance: 1.138888888888889,
min: 0.123,
min_: 0.123,
max: 3.123,
max_: 2.123,
median: 1.123,
len: 6,
capacity: 100,
fixed_capacity: true,
last_write_position: 5,
accumulate: true,
},
accumulate_yaxis: SimpleAccumulator {
vec: [
0.123,
1.123,
2.123,
3.123,
0.123,
1.123,
],
mean: 1.289666666666667,
population_variance: 1.138888888888889,
min: 0.123,
min_: 0.123,
max: 3.123,
max_: 2.123,
median: 1.123,
len: 6,
capacity: 100,
fixed_capacity: true,
last_write_position: 5,
accumulate: true,
},
capacity: 100,
}