Struct PointGrid 

pub struct PointGrid<V: Interpolatable + Serialize + DeserializeOwned + Debug = RGBA, S: VectorStore<S2CellId, IndexPoint<V>> = Vector<S2CellId, IndexPoint<V>>, G: KVStore<S2CellId, Vec<V>> = KV<S2CellId, Vec<V>>> { /* private fields */ }

Grid Cluster

Description

A cluster store to build grid data of grid_size x grid_size. The resultant tiles are filled. Useful for building raster tiles or other grid like data (temperature, precipitation, wind, etc).

Implementations

impl<V: Interpolatable + Serialize + DeserializeOwned + Debug, S: VectorStore<S2CellId, IndexPoint<V>>, G: KVStore<S2CellId, Vec<V>>> PointGrid<V, S, G>

pub fn new(options: Option<GridOptions<V>>) -> Self

Create a new point grid

pub fn insert_point<T: GetXY>(&mut self, point: T, data: Option<V>)

Add a lon-lat pair as with any shape

pub fn insert_lon_lat(&mut self, ll: LonLat<V>)

Add a lon-lat pair to the cluster

pub fn insert_face_st(&mut self, face: Face, s: f64, t: f64, data: V)

Insert an STPoint to the index

pub fn insert_reader<L: Clone, F: FeatureReader<L, V, V>>(&mut self, reader: &F)

Add all points from a reader. It will try to use the M-value first, but if it doesn’t exist it will use the feature properties data

pub fn insert_feature<L: Clone>(&mut self, data: JSONCollection<L, V, V>)

Add a vector feature. It will try to use the M-value first, but if it doesn’t exist it will use the feature properties data

pub fn get_tile(&self, id: S2CellId) -> Option<TileGrid<'_, V>>

Get the point data as a grid of a tile

pub fn build_clusters(&mut self)

Build the grid cluster tiles

Trait Implementations

impl<V: Debug + Interpolatable + Serialize + DeserializeOwned + Debug, S: Debug + VectorStore<S2CellId, IndexPoint<V>>, G: Debug + KVStore<S2CellId, Vec<V>>> Debug for PointGrid<V, S, G>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.