Contour Plot

100%

✓ Published0🌍 Public

Last edited Jul 12, 2024

Created on Jul 12, 2024

This contour plot visualizes a 2D function’s level sets, with each colored band representing a distinct elevation range. The SVG rendering uses filled rectangles and complex path coordinates—drawn via vector paths rather than a raster grid—to outline the contour lines and label regions. It is built with raw SVG path data, employing cubic and quadratic Bézier curves (via `C`, `Q`, and `V` commands) to trace the smooth isolines, and relies on linear gradients for the color fills. The source appears to be a computed dataset, encoded directly into the SVG's coordinate system.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Contour Plot

This contour plot visualizes a data surface through layered SVG paths and grouped rectangles, using filled shapes to represent different value bands. The visualization renders with React and SVG, employing path elements with complex cubic and quadratic Bézier curves to trace contour lines. A color scale ranges from dark purple through magenta and orange to pale yellow, with each colored region corresponding to a specific elevation range in the plotted dataset. The implementation uses direct SVG path data rather than a charting library, providing precise control over the geometric contour representation.

Xxyzcorrupt@gmail.com

85% match

Loading thumbnail…

Contour Plot

A contour plot visualizes the volcano dataset from R, showing elevation values through filled isolines. The map uses a sequential color scale with a custom terrain interpolation, transitioning from green to yellow to white across the elevation range. Implemented with d3-contour and rendered as SVG paths, the code applies d3.geoPath with a geoIdentity projection to scale the contours, while d3.hsv and d3.interpolateHsvLong define the color transitions for the 5-unit threshold intervals.

Mmbostock

76% match

Loading thumbnail…

Contour Plot III

A contour plot displays animated isolines of a mathematical function, with colors shifting through a red-blue diverging scale as the threshold values change over time. The visualization computes a grid of sine-based values, then uses d3-contour to generate contour geometries at varying thresholds. d3.geoPath draws these shapes onto a Canvas element, while d3.scaleSequential and d3.interpolateRdBu map contour values to colors. A d3.timer drives the animation, continuously updating the thresholds to create the moving contour bands.

Mmbostock

75% match

Loading thumbnail…

Contour Plot II

This example visualizes the Goldstein–Price function, a common test function for optimization, as a set of 20 logarithmic contour levels. The contours are drawn with SVG paths, each filled with a color from the YlGnBu interpolated color scale to indicate value. The underlying grid of 240×125 values is computed by sampling the function across its domain. The code uses `d3.contours` to generate the contour geometry, `d3.geoPath` with `d3.geoIdentity().scale()` to project the coordinates to the SVG canvas, and a `d3.scaleLog` for threshold mapping.

Mmbostock

73% match

Loading thumbnail…

Contour experiment

This contour plot visualizes a 5×5 grid of values containing 1s at the corners and center, rendered as smooth isolines. The d3-contour library computes contours at thresholds from 0 to 1 in 0.1 increments, with d3.scaleLinear mapping threshold values to the YlGnBu color interpolator. The SVG paths are drawn using d3.geoPath with a geoIdentity projection scaled by 100, and each contour is filled according to its corresponding value. The sparse data creates a symmetric pattern of concentric, color-graded polygons.

RRobinL

73% match

Loading thumbnail…

Contour Plot II

This example visualizes the Goldstein-Price test function using a grid of 240 by 125 sampled values, displayed as a series of 20 logarithmic contour thresholds. The contours are rendered as filled SVG paths with a blue-green-yellow color scale. The code uses `d3.contours` to compute the isolines and `d3.geoPath` with `d3.geoIdentity` to project them, while `d3.scaleLog` and `d3.interpolateYlGnBu` define the color mapping. The data is generated procedurally from the mathematical function.

MMorganhaoyu

72% match

Loading thumbnail…

Contour experiment

A grid of five-by-five values is rendered as a colored contour plot, with sparse peaks at the corners and center producing concentric bands. The example uses `d3.contours` from the d3-contour module to compute iso-lines from the array, with thresholds set from 0 to 1 in increments of 0.1. Each resulting path is drawn as an SVG element via `d3.geoPath` and `d3.geoIdentity`, scaled by 100, and filled with a linear scale interpolating the YlGnBu color scheme from d3-scale-chromatic.

RRobinL

72% match

Loading thumbnail…

Old Faithful Contour Plot

This contour plot visualizes the density distribution of data points using a white-to-teal gradient, with darker regions indicating higher point concentrations. It reads data from a CSV file and displays it as smooth, layered density contours over a coordinate grid. The visualization uses d3.contourDensity to compute density values, d3.geoPath to render the contour shapes, and d3.scaleLinear for the color mapping. The axes are generated with d3.axisBottom and d3.axisLeft, and the data is plotted in an SVG canvas.

PPatricijaC

71% match