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Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Nov 14, 2024 · Frontend Development

Creating Stunning 3D Map Visualizations with AMap and Three.js

This tutorial demonstrates how to combine Gaode (AMap) 3D maps with Three.js to render interactive effects such as flying lines, animated boundaries, rising peaks, floating pyramids, and custom text markers, using custom coordinate conversion, WebGL layers, shaders, and CSS2D rendering for a compelling web‑based geographic visualization.

AMapFrontend DevelopmentMap visualization
0 likes · 15 min read
Creating Stunning 3D Map Visualizations with AMap and Three.js
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
May 31, 2024 · Frontend Development

Implementing Custom Map Points and Trajectories with Vue3 and AMap JS API

This article shares a front‑end developer’s experience of rebuilding a map‑based feature using Vue3 and Gaode (AMap) APIs, covering business requirements, point‑drawing techniques, trajectory rendering, performance‑aware loading strategies, and practical code snippets for custom markers and lines.

AMapCustom MarkersFrontend
0 likes · 19 min read
Implementing Custom Map Points and Trajectories with Vue3 and AMap JS API
Python Programming Learning Circle
Python Programming Learning Circle
Dec 15, 2021 · Frontend Development

Using pyecharts to Create Various Map Visualizations in Python

This tutorial introduces the Python pyecharts library for creating various map visualizations with Echarts, explains how the code generates HTML files, and provides complete example functions for basic, label‑less, continuous and piecewise visual maps, world and regional maps, plus guidance for using real data.

ChartingData VisualizationECharts
0 likes · 5 min read
Using pyecharts to Create Various Map Visualizations in Python
Amap Tech
Amap Tech
Nov 19, 2020 · Big Data

Point Aggregation Algorithms for Map-based POI Data: Comparison, Implementation, and Evaluation

The article surveys and compares several point‑aggregation techniques for map‑based POI visualisation—including k‑means, grid‑based, grid‑centroid‑merge, grid‑distance, quad‑tree and KD‑tree methods—detailing their implementations, performance and clustering quality, evaluating them on a 175‑point dataset, and recommending the most suitable algorithm according to data size and required accuracy.

Map visualizationPOI clusteringbig data
0 likes · 23 min read
Point Aggregation Algorithms for Map-based POI Data: Comparison, Implementation, and Evaluation
Python Programming Learning Circle
Python Programming Learning Circle
Nov 16, 2020 · Fundamentals

Drawing China's Map with PySimpleGUI: Polygon Data and Code Example

This article explains how China's map is represented by three closed polygons, describes the text file format containing longitude‑latitude point groups, and provides a complete PySimpleGUI Python script to read the data and render the map as red polygons.

GISMap visualizationPolygon
0 likes · 2 min read
Drawing China's Map with PySimpleGUI: Polygon Data and Code Example
Beike Product & Technology
Beike Product & Technology
Sep 26, 2020 · Fundamentals

Map POI Label Occlusion Solution Using 2D Collision Detection and A* Pathfinding

This article presents a practical solution for eliminating POI label overlap on maps by applying 2D collision‑detection techniques and the A‑Star path‑finding algorithm to intelligently position labels and draw connector lines, complete with Python and OpenCV code examples.

A* algorithmMap visualizationPython
0 likes · 17 min read
Map POI Label Occlusion Solution Using 2D Collision Detection and A* Pathfinding