Calculate distance between two points in 2D and 3D coordinate systems
Distance: 5.00 units
Formula: d = √[(x₂-x₁)² + (y₂-y₁)²]
Calculation: d = √[(4-1)² + (6-2)²] = √[9 + 16] = √25 = 5.00
Displacement Vector: (3, 4)
Midpoint: (2.5, 4)
Horizontal Distance (Δx): 3
Vertical Distance (Δy): 4
A distance calculator is a fundamental tool in coordinate geometry that determines the straight-line distance between two points in space. Whether you're working with 2D coordinates on a plane or 3D coordinates in space, understanding how to calculate distance accurately is essential for mathematics, physics, engineering, and computer graphics applications.
For two points (x₁, y₁) and (x₂, y₂) in a 2D coordinate system, the Euclidean distance is:
d = √[(x₂ - x₁)² + (y₂ - y₁)²]
This formula is derived from the Pythagorean theorem, where the distance represents the hypotenuse of a right triangle formed by the horizontal and vertical separations between the points.
For two points (x₁, y₁, z₁) and (x₂, y₂, z₂) in 3D space:
d = √[(x₂ - x₁)² + (y₂ - y₁)² + (z₂ - z₁)²]
This extends the 2D formula by adding the third dimension, representing the space diagonal between two points in 3D space.
Distance calculators are fundamental to modern navigation:
In digital applications, distance calculations enable:
Professional applications include:
Research applications encompass:
The standard straight-line distance between two points, most commonly used in everyday applications and geometric calculations.
Also known as taxicab distance, calculated as the sum of absolute differences of coordinates:
d = |x₂ - x₁| + |y₂ - y₁|
The maximum difference along any coordinate dimension:
d = max(|x₂ - x₁|, |y₂ - y₁|)
The midpoint between two points is calculated as:
Midpoint = ((x₁ + x₂)/2, (y₁ + y₂)/2)
The vector from point 1 to point 2:
Vector = (x₂ - x₁, y₂ - y₁)
The angle from point 1 to point 2 can be calculated using:
θ = arctan((y₂ - y₁)/(x₂ - x₁))
Finding the closest point in a dataset to a query point, essential for machine learning and data analysis.
Distance calculations form the basis of k-means, hierarchical clustering, and other data grouping methods.
Facility location, traveling salesman problems, and network design all rely on distance calculations.
Calculate driving distance between two cities using latitude and longitude coordinates.
Determine spacing between structural elements in building plans.
Track player movement and calculate distances covered during games.
Our comprehensive distance calculator provides accurate Euclidean distance calculations for both 2D and 3D coordinate systems. Whether you're a student learning coordinate geometry, a developer working on location-based applications, or a professional requiring precise distance measurements, this tool delivers the accuracy and functionality you need for successful spatial analysis.