diff --git a/src/data-structures/QuadTree.ts b/src/data-structures/QuadTree.ts
new file mode 100644
index 0000000..a7c1267
--- /dev/null
+++ b/src/data-structures/QuadTree.ts
@@ -0,0 +1,288 @@
+export interface AbstractQuad {
+  left: number;
+  top: number;
+  right: number;
+  bottom: number;
+}
+
+export class Quad implements AbstractQuad {
+  constructor(left: number, top: number, right?: number, bottom?: number) {
+    const l = left;
+    const t = top;
+    const r = right ?? left; // zero width for points
+    const b = bottom ?? top; // zero height for points
+
+    this.left = Math.min(l, r);
+    this.top = Math.min(t, b);
+    this.right = Math.max(l, r);
+    this.bottom = Math.max(t, b);
+  }
+
+  intersects(op: Quad): Boolean {
+    return (
+      this.left <= op.right && // not too far left
+      this.top <= op.bottom && // not too far up
+      op.left <= this.right && // not too far right
+      op.top <= this.bottom // not too far down
+    );
+  }
+
+  distance(op: Quad) {
+    if (this.intersects(op)) {
+      return 0;
+    }
+
+    // Horizontal (closest edges)
+    const closestX = Math.min(
+      Math.abs(this.left - op.right),
+      Math.abs(this.right - op.left),
+    );
+    if (
+      (this.top >= op.top && this.top <= op.bottom) ||
+      (op.top >= this.top && op.top <= this.bottom)
+    ) {
+      return closestX;
+    }
+
+    // Vertical (closest edges)
+    const closestY = Math.min(
+      Math.abs(this.top - op.bottom),
+      Math.abs(this.bottom - op.top),
+    );
+    if (
+      (this.left >= op.left && this.left <= op.right) ||
+      (op.left >= this.left && op.left <= this.right)
+    ) {
+      return closestY;
+    }
+
+    // Diagonal (closest corner)
+    return Math.sqrt(closestX ** 2 + closestY ** 2);
+  }
+}
+
+export class QuadNode<T> extends Quad {
+  value: T | undefined;
+
+  constructor(
+    value: T,
+    left: number,
+    top: number,
+    right?: number,
+    bottom?: number,
+  ) {
+    super(left, top, right, bottom);
+
+    this.value = value ?? undefined;
+  }
+}
+
+class QuadTree<T> {
+  bounds: Quad;
+  values: Set<QuadNode<T>>;
+  subdivisions: Array<QuadTree<T>> | undefined = undefined;
+
+  SIZE_LIMIT = 8;
+  DEPTH_LIMIT = 8;
+  depth = 0;
+
+  /**
+   * Create a QuadTree that covers an spatial area.
+   * @param {number} left The x minimum.
+   * @param {number} top The y minimum.
+   * @param {number} right The x maximum.
+   * @param {number} bottom The y maximum.
+   */
+  constructor(left = -1000, top = -1000, right = 1000, bottom = 1000) {
+    this.bounds = new Quad(left, top, right, bottom);
+    this.values = new Set<QuadNode<T>>();
+  }
+
+  setDepth(depth: number) {
+    this.depth = depth;
+  }
+
+  setSizeLimit(size: number) {
+    this.SIZE_LIMIT = size;
+  }
+
+  setDepthLimit(depth: number) {
+    this.DEPTH_LIMIT = depth;
+  }
+
+  /**
+   * Divide QuadTree into four equal quads.
+   * Move all values to subdivisions for performance.
+   */
+  protected _subdivide() {
+    const centerX = (this.bounds.left + this.bounds.right) / 2;
+    const centerY = (this.bounds.top + this.bounds.bottom) / 2;
+
+    this.subdivisions = [
+      new QuadTree(this.bounds.left, this.bounds.top, centerX, centerY), // nw
+      new QuadTree(centerX, this.bounds.top, this.bounds.right, centerY), // ne
+      new QuadTree(centerX, centerY, this.bounds.right, this.bounds.bottom), // se
+      new QuadTree(this.bounds.left, centerY, centerX, this.bounds.bottom), // sw
+    ];
+
+    // Copy configurations
+    this.subdivisions.forEach((quad) => {
+      quad.setDepth(this.depth + 1);
+      quad.setSizeLimit(this.SIZE_LIMIT);
+      quad.setDepthLimit(this.DEPTH_LIMIT);
+    });
+
+    // Move values
+    this.values.forEach((node) => this.insert(node));
+    this.values.clear();
+  }
+
+  /**
+   * Insert value with positional data.
+   * @param {QuadTree<T> | T} nodeOrValue
+   * @param {number?} left
+   * @param {number?} top
+   * @param {number?} right
+   * @param {number?} bottom
+   * @return Boolean
+   */
+  insert(
+    nodeOrValue: QuadNode<T> | T,
+    left?: number,
+    top?: number,
+    right?: number,
+    bottom?: number,
+  ): Boolean {
+    if (nodeOrValue instanceof QuadNode) {
+      // QuadNode
+      return this._insertImpl(nodeOrValue as QuadNode);
+    }
+
+    if (left !== undefined && top !== undefined) {
+      // convenience QuadNode creation
+      return this._insertImpl(
+        new QuadNode(nodeOrValue, left, top, right, bottom)
+      );
+    }
+
+    throw Error('value needs positional data to insert');
+  }
+
+  /**
+   * Insert value with positional data.
+   * @param {QuadTree<T>} node
+   * @return Boolean
+   */
+  protected _insertImpl(node: QuadNode<T>): Boolean {
+    if (!this.bounds.intersects(node)) {
+      return false;
+    }
+
+    if (this.subdivisions) {
+      return this.subdivisions.reduce(
+        (added: Boolean, quad) => added || quad.insert(node),
+        false,
+      );
+    }
+
+    this.values.add(node);
+
+    if (
+      !this.subdivisions &&
+      this.depth < this.DEPTH_LIMIT &&
+      this.values.size === this.SIZE_LIMIT
+    ) {
+      this._subdivide();
+    }
+
+    return true;
+  }
+
+  query(
+    quadOrLeft: Quad | number,
+    top?: number,
+    right?: number,
+    bottom?: number,
+  ): Array<QuadNode<T>> {
+    if (quadOrLeft instanceof Quad) {
+      return this._queryImpl(quadOrLeft);
+    }
+
+    return this._queryImpl(new Quad(quadOrLeft, top, right, bottom));
+  }
+
+  protected _queryImpl(range: Quad) {
+    if (!this.bounds.intersects(range)) {
+      return [];
+    }
+
+    if (this.subdivisions) {
+      return this.subdivisions.reduce(
+        (ret, quad) => [...ret, ...quad.query(range)],
+        [] as Array<QuadNode<T>>,
+      );
+    }
+
+    return Array.from(this.values).filter((value) => value.intersects(range));
+  }
+
+  closest(pointOrX: Quad | number, yOrCount: number, count?: number): QuadNode | Array<QuadNode> | null {
+    const point = pointOrX instanceof Quad ? pointOrX : new Quad(pointOrX, yOrCount);
+    const limit = (pointOrX instanceof Quad ? yOrCount : count) ?? 1;
+
+    let closest = [];
+    let closestDist = Infinity;
+
+    function insertInOrder(value, dist) {
+      const item = { ...value, dist };
+
+      if (closest.length < limit) {
+        closest.push(item);
+        closest.sort((a, b) => a.dist - b.dist);
+
+        closestDist = closest[closest.length - 1].dist;
+        return;
+      }
+
+      for (let i = 0; i < limit; i++) {
+        if (dist < closest[i].dist) {
+          closest.splice(i, 0, item);
+          break;
+        }
+      }
+
+      closestDist = closest[closest.length - 1].dist;
+    }
+
+    function _closestImpl(node) {
+      if (node.subdivisions) {
+        node.subdivisions.forEach((sub) => {
+          if (point.distance(sub.bounds) < closestDist) {
+            _closestImpl(sub);
+          }
+        });
+
+        return;
+      }
+
+      node.values.forEach((val) => {
+        const dist = point.distance(val);
+        if (dist < closestDist) {
+          insertInOrder(val, dist);
+        }
+      });
+    }
+
+    _closestImpl(this);
+
+    // If no count specified, return just an object
+    const returnOne = (pointOrX instanceof Quad ? yOrCount : count) === undefined;
+    if (returnOne) {
+      return closest[0] ?? null;
+    }
+
+    return closest.slice(0, limit);
+  }
+}
+
+export default QuadTree;
diff --git a/src/index.ts b/src/index.ts
index 071eb0e..cf05943 100644
--- a/src/index.ts
+++ b/src/index.ts
@@ -31,6 +31,7 @@ import List from './data-structures/List';
 import NDArray from './data-structures/NDArray';
 import Node from './data-structures/Node';
 import PriorityQueue from './data-structures/PriorityQueue';
+import QuadTree from './data-structures/QuadTree';
 import Queue from './data-structures/Queue';
 import Stack from './data-structures/Stack';
 import Trie from './data-structures/Trie';
@@ -73,6 +74,7 @@ export {
   NDArray,
   Node,
   PriorityQueue,
+  QuadTree,
   Queue,
   Stack,
   Trie,
diff --git a/test/data-structures/QuadTree.test.ts b/test/data-structures/QuadTree.test.ts
new file mode 100644
index 0000000..abee19b
--- /dev/null
+++ b/test/data-structures/QuadTree.test.ts
@@ -0,0 +1,61 @@
+import { QuadNode, QuadTree } from '../../src';
+
+// #todo QuadTree.test.ts
+
+describe('Quad', () => {
+  describe('normal', () => {});
+  describe('swap bounds', () => {});
+  describe('missing info', () => {});
+});
+
+describe('QuadNode', () => {
+  describe('normal', () => {});
+  describe('swap bounds', () => {});
+  describe('missing info', () => {});
+});
+
+describe('QuadTree', () => {
+  describe('add', () => {
+    test('add in bounds', () => {
+      const qtree = new QuadTree(0, 0, 100, 100);
+      expect(qtree.add(new QuadNode('point', 10, 10))).toBe(true);
+      expect(qtree.add(new QuadNode('corner point', 0, 0))).toBe(true);
+      expect(qtree.add(new QuadNode('far corner point', 100, 100))).toBe(true);
+      expect(qtree.add(new QuadNode('inside quad', 50, 50, 70, 70))).toBe(true);
+      expect(qtree.add(new QuadNode('overflow quad', -50, -50, 10, 10))).toBe(
+        true,
+      );
+      expect(qtree.add(new QuadNode('through quad', 20, -50, 40, 200))).toBe(
+        true,
+      );
+    });
+
+    test('reject out of bounds', () => {
+      const qtree = new QuadTree(20, 20, 40, 40);
+      expect(qtree.add(new QuadNode('point', -10, -10))).toBe(false);
+      expect(qtree.add(new QuadNode('quad past left', -50, -50, -10, 20))).toBe(
+        false,
+      );
+      expect(qtree.add(new QuadNode('quad past top', -50, -50, 20, -10))).toBe(
+        false,
+      );
+      expect(
+        qtree.add(new QuadNode('quad past right', 110, 10, 200, 200)),
+      ).toBe(false);
+      expect(
+        qtree.add(new QuadNode('quad past bottom', 10, 110, 200, 200)),
+      ).toBe(false);
+    });
+  });
+
+  describe('get', () => {});
+
+  describe('division', () => {
+    describe('split at size limit', () => {});
+    describe('move values to subdivisions', () => {});
+  });
+
+  describe('size limits', () => {});
+
+  describe('depth limits', () => {});
+});