48 lines
1.6 KiB
Kotlin
48 lines
1.6 KiB
Kotlin
import org.openrndr.application
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import org.openrndr.color.ColorRGBa
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import org.openrndr.extra.kdtree.kdTree
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import org.openrndr.math.Vector2
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/**
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* Initializes an interactive graphical application that demonstrates spatial querying with KD-trees.
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* A canvas is populated with 1000 randomly distributed 2D points, and a KD-tree is used for efficient
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* spatial operations. The program dynamically highlights points within a specified radius from the
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* user's cursor position.
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*
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* Key features:
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* - Generates and displays 1000 random 2D points within the canvas.
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* - Builds a KD-tree structure for optimized querying of spatial data.
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* - Dynamically highlights points within a specified radius (50.0) from the cursor position.
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* - Visualizes the current query radius around the cursor as an outline circle.
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* - Uses different fill and stroke styles to distinguish highlighted points and query visuals.
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*/
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fun main() = application {
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configure {
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width = 720
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height = 720
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}
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program {
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val points = MutableList(1000) {
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Vector2(Math.random() * width, Math.random() * height)
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}
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val tree = points.kdTree()
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val radius = 50.0
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extend {
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drawer.circles(points, 5.0)
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val allInRange = tree.findAllInRadius(mouse.position, radius = radius)
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drawer.fill = ColorRGBa.PINK
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drawer.stroke = ColorRGBa.PINK
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drawer.strokeWeight = 2.0
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drawer.circles(allInRange, 7.0)
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drawer.fill = null
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drawer.strokeWeight = 1.0
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drawer.circle(mouse.position, radius)
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}
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}
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}
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