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Manhattan Distance

Calculate the Manhattan (taxicab) distance between two points and compare with Euclidean distance

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Why: Understanding manhattan distance helps you make better, data-driven decisions.

How: Enter your values below and results will compute automatically.

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Enter Two Points

Point 1 (Pโ‚)

Point 2 (Pโ‚‚)

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Key Takeaways

  • โ€ข Manhattan distance d=โˆฃx2โˆ’x1โˆฃ+โˆฃy2โˆ’y1โˆฃd = |x_2 - x_1| + |y_2 - y_1| measures distance along grid lines.
  • โ€ข It is always โ‰ฅ\geq Euclidean distance; equal only when points share x or y.
  • โ€ข Named after Manhattan's grid layout โ€” you cannot walk diagonally through buildings.
  • โ€ข Also called L1 distance, taxicab distance, or city block distance.
  • โ€ข Used in machine learning (k-NN), robotics pathfinding, and urban planning.

Did You Know?

Urban Planning

Used in city navigation where movement is restricted to grid patterns.

Machine Learning

L1 distance is used in k-NN, clustering, and Lasso regression.

Image Processing

Used in certain image analysis and edge detection tasks.

Network Design

Helpful for wiring layouts on circuit boards and chips.

Robotics

Pathfinding in grid-based environments often uses Manhattan distance.

Chess

Knight moves and rook moves relate to different distance metrics.

Understanding Manhattan Distance

Manhattan distance measures the sum of absolute differences in each coordinate. It represents the shortest path when movement is restricted to horizontal and vertical directions only.

dM=โˆฃx2โˆ’x1โˆฃ+โˆฃy2โˆ’y1โˆฃd_M = |x_2 - x_1| + |y_2 - y_1|

Euclidean distance (straight line): dE=(x2โˆ’x1)2+(y2โˆ’y1)2d_E = \sqrt{(x_2-x_1)^2 + (y_2-y_1)^2}. Manhattan is always โ‰ฅ\geq Euclidean.

Expert Tips

When Equal

Manhattan equals Euclidean only when the points lie on a horizontal or vertical line.

Diagonal Maximum

For a diagonal path, Manhattan = โˆš2 ร— Euclidean (e.g., (0,0) to (1,1)).

Symmetry

Distance from A to B equals distance from B to A. Order does not matter.

3D Extension

In 3D: d = |ฮ”x| + |ฮ”y| + |ฮ”z|.

Frequently Asked Questions

What is Manhattan distance?

The sum of absolute differences in coordinates: |xโ‚‚-xโ‚| + |yโ‚‚-yโ‚|. It measures distance along grid lines.

Why is it called Manhattan?

Manhattan streets form a grid. A taxi cannot drive through buildings, so the shortest path follows the grid.

When does Manhattan equal Euclidean?

When both points share the same x-coordinate or the same y-coordinate (horizontal or vertical line).

What is L1 distance?

Another name for Manhattan distance. L1 norm: sum of absolute values of differences.

How does it compare to Euclidean?

Manhattan is always โ‰ฅ Euclidean. For diagonal paths, Manhattan = โˆš2 ร— Euclidean.

Where is it used?

k-NN, clustering, image processing, robotics, urban planning, and network design.

Can it be zero?

Yes, when both points are identical. Then |ฮ”x| = |ฮ”y| = 0.

How to Use This Calculator

  1. Enter the coordinates of two points (xโ‚, yโ‚) and (xโ‚‚, yโ‚‚).
  2. Click "Calculate" to get Manhattan and Euclidean distances.
  3. Use sample examples to load preset inputs.

Disclaimer: Manhattan distance assumes movement along grid lines. For geographic coordinates, use specialized geodesic formulas.

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