This is an implementation of a Hilbert Packed R-Tree without any external dependencies. R-Trees are a special data structure for indexing spatial data. To improve the performance of query operations on the data structure, the R-Tree may be packed using t
npm install hilbert-rtreeThis is an implementation of a Hilbert Packed R-Tree without any external dependencies. R-Trees are a special data structure for indexing spatial data. To improve the performance of query operations on the data structure, the R-Tree may be packed using the space filling Hilbert Curve.
This library may be used in browser environments and does not depend on NodeJS libraries.
Without polyfilling, the implementation depends on features available in node >= 8.
``bash`
npm i -S hilbert-rtree
`typescript
const options = { maxChildrenPerNode: 4 };
const tree = new RTree(
options /* optional argument /
);
const records = [
{
x: 0, y: 0, width: 10, height: 10, data: "This can be any data type"
},
{ x: 30, y: 30, data: "Data may also be stored as a point rather than a rectangle" },
];
// Batch insert records. The tree is packet using a Hilbert curve.
tree.batchInsert(records);
// The spatial R-Tree is queried by using a bounding box. The search
// returns data records that overlap with query rectangle.
const boundingRectangle = {
x: 0, y: 0, width: 5, height: 5
};
const result = tree.search(boundingRectangle);
console.log(result); // -> prints: [ "This can be any data type" ]
``