Tagged articles

Geospatial

29 articles · Page 1 of 1

Jun 22, 2026 · Databases

Common Redis Use Cases in Real-World Projects

This article outlines nine practical Redis scenarios—including hot‑data caching, distributed locks with Redisson, Bloom filters for cache‑penetration protection, delayed queues using ZSet, token‑bucket rate limiting, bitmap boolean statistics, UV deduplication via Set/HyperLogLog/Bitmap, geospatial indexing, and lightweight Stream queues—explaining their motivations, implementation steps, and trade‑offs.

BitmapBloom filterDelayed Queue

0 likes · 7 min read

Common Redis Use Cases in Real-World Projects

Cloud Architecture

Mar 16, 2026 · Databases

Efficient MongoDB Architecture for Billion-Scale GPS Trajectory Storage and Queries

This article walks through building a production‑grade system for storing and querying massive GPS trajectory data with MongoDB, covering data modeling choices, index strategies, sharding, query patterns, performance tuning, and best‑practice checklists to handle billions of points efficiently.

Data ModelingGPSGeospatial

0 likes · 28 min read

Efficient MongoDB Architecture for Billion-Scale GPS Trajectory Storage and Queries

Model Perspective

Dec 30, 2025 · Fundamentals

How Far Was the Drone? Estimating Distance to Taipei 101 from a News Broadcast Image

This article builds a mathematical model using dual‑landmark triangulation and perspective geometry to estimate the distance of a PLA drone that captured a high‑resolution image of Taipei 101, providing calculations, error analysis, and confidence intervals for the drone’s range.

Geospatialdistance estimationdrone

0 likes · 8 min read

How Far Was the Drone? Estimating Distance to Taipei 101 from a News Broadcast Image

Ray's Galactic Tech

Nov 1, 2025 · Databases

Design Efficient GPS Trajectory Storage and Queries with MongoDB Time Series

This guide explains how to store and query GPS trajectory data in MongoDB using time‑series collections or traditional collections, covering schema design, indexing, sharding, TTL expiration, and practical query examples for high‑performance, schema‑free applications.

GPSGeospatialMongoDB

0 likes · 8 min read

Design Efficient GPS Trajectory Storage and Queries with MongoDB Time Series

Dunmao Tech Hub

Sep 4, 2025 · Fundamentals

How to Implement a Forest Fire Spread Model in Java: Step‑by‑Step Guide

This article documents a Java implementation of a forest fire spread algorithm based on Wang Zhengfei's model, detailing the purpose, parameter definitions, and a series of computational methods—including wind and slope corrections, flame intensity, coordinate conversion, and spread speed—while noting the limitations of default parameter values.

Environmental ModelingForest Fire SimulationGeospatial

0 likes · 8 min read

How to Implement a Forest Fire Spread Model in Java: Step‑by‑Step Guide

Rare Earth Juejin Tech Community

Jan 8, 2025 · Databases

ByteHouse GIS: High‑Performance Geospatial Analytics and Benchmark Comparison with ClickHouse, StarRocks, PostGIS, and DuckDB

The article explains ByteHouse's GIS capabilities, describing its R‑Tree and Google S2 spatial index implementation, OGC‑compatible data types and functions, and presents benchmark results that show ByteHouse outperforming ClickHouse, StarRocks, PostGIS, and DuckDB on key geospatial queries.

ByteHouseGISGeospatial

0 likes · 13 min read

ByteHouse GIS: High‑Performance Geospatial Analytics and Benchmark Comparison with ClickHouse, StarRocks, PostGIS, and DuckDB

Python Programming Learning Circle

Jul 10, 2024 · Big Data

Using the TransBigData Python Library for Mobile Signaling Data Processing, Analysis, and Visualization

This article introduces the open‑source Python package TransBigData, explains how to install it, and demonstrates step‑by‑step methods for reading mobile signaling data, preprocessing, identifying stays and moves, extracting home and work locations, and visualizing individual activity patterns using Jupyter notebooks.

Big DataData AnalysisGeospatial

0 likes · 8 min read

Using the TransBigData Python Library for Mobile Signaling Data Processing, Analysis, and Visualization

ZXD User Experience Design Department

Apr 22, 2024 · Frontend Development

Designing Effective Map Visualization Layouts for Logistics Applications

This guide explains how to choose and implement map visualization layouts—primary map focus, side‑by‑side view, or dual‑panel designs—and details point, line, and area visual elements along with common chart types to improve logistics efficiency and user experience.

FrontendGeospatialLayout

0 likes · 14 min read

Designing Effective Map Visualization Layouts for Logistics Applications

Full-Stack Internet Architecture

Mar 4, 2024 · Databases

Redis Extended Data Types: Stream, Geospatial, Bitmap, Bitfield, and HyperLogLog

This article introduces Redis's five extended data types—Stream, Geospatial, Bitmap, Bitfield, and HyperLogLog—explaining their concepts, common commands, and practical code examples, and highlights how they address specific internet‑scale scenarios more efficiently than traditional relational solutions.

BitfieldBitmapData Types

0 likes · 6 min read

Redis Extended Data Types: Stream, Geospatial, Bitmap, Bitfield, and HyperLogLog

Python Programming Learning Circle

Feb 27, 2024 · Fundamentals

Drawing Terrain Maps with Python Using rasterio, geopandas, and cartopy

This article demonstrates how to create detailed terrain maps in Python by installing and importing rasterio, geopandas, cartopy, and related libraries, configuring map fonts, and executing a comprehensive script that reads vector and raster data, applies custom color maps, and renders the final visualization.

CartopyGeospatialRasterio

0 likes · 4 min read

Drawing Terrain Maps with Python Using rasterio, geopandas, and cartopy

Python Crawling & Data Mining

Feb 15, 2024 · Backend Development

How to Capture 1‑km Map Snapshots with Baidu Maps API and Python

This article explains how to use Baidu Maps' API with Python to programmatically generate map images covering a 1‑kilometer radius around a point, including step‑by‑step instructions, required API registration, coordinate setup, and a complete code example.

Baidu MapsGeospatialWeb API

0 likes · 5 min read

How to Capture 1‑km Map Snapshots with Baidu Maps API and Python

Architecture Digest

Nov 3, 2023 · Databases

In‑Depth Analysis of Redis GEOADD and GEORADIUS Commands and Their Algorithmic Complexity

This article explains how Redis implements geospatial indexing with GEOADD and GEORADIUS commands, walks through their source‑code implementations, describes the underlying geohash calculations and nine‑cell grid search strategy, and derives the O(N + log M) time complexity for nearby‑people queries.

AlgorithmDatabaseGEOADD

0 likes · 15 min read

In‑Depth Analysis of Redis GEOADD and GEORADIUS Commands and Their Algorithmic Complexity

LouZai

Nov 1, 2023 · Databases

Beyond Caching: Real‑World Redis Use Cases and Scenarios

The article explains how Redis’s rich data structures and persistence options enable it to serve not only as a distributed cache but also as a primary store for user profiles, counters, leaderboards, relationships, active‑user tracking, distributed locks, rate limiting, messaging, geospatial queries, and more, while also discussing high‑availability and hot‑cold data challenges.

Data StructuresGeospatialMessage Queue

0 likes · 19 min read

Beyond Caching: Real‑World Redis Use Cases and Scenarios

Caiyun Tech Team

Jan 6, 2023 · Backend Development

Optimizing Geospatial Queries: Finding the K Nearest Weather Stations in Go

The article walks through a real‑world case of locating the K closest national weather stations to a Beijing site, explains why naive full‑scan using Vincenty's formula is slow, and details a tile‑based indexing solution that cuts query time to 900‑3000 ns and reduces CPU usage by about 10 percent.

GeospatialGoKNN

0 likes · 7 min read

Optimizing Geospatial Queries: Finding the K Nearest Weather Stations in Go

AsiaInfo Technology: New Tech Exploration

Dec 26, 2022 · Industry Insights

How UAV Oblique Photography Transforms 3D Modeling for Smart Cities

This article provides a comprehensive overview of UAV‑based oblique photogrammetry for real‑world 3D modeling, detailing background, step‑by‑step field capture, control‑point handling, aerial triangulation, model reconstruction, internal processing, and emerging trends in smart‑city applications.

3D modelingGeospatialOblique Photogrammetry

0 likes · 14 min read

How UAV Oblique Photography Transforms 3D Modeling for Smart Cities

Rare Earth Juejin Tech Community

Nov 29, 2022 · Frontend Development

Comprehensive Guide to Using Entity and Primitive Methods for 3D Earth Visualization with Cesium

This article provides an in‑depth tutorial on creating and customizing Cesium entities and primitives—including boxes, points, and various geometric shapes—explaining their properties, visual attributes, performance considerations, and offering complete JavaScript code examples for interactive 3D earth visualizations.

3d-visualizationCesiumGeospatial

0 likes · 18 min read

Comprehensive Guide to Using Entity and Primitive Methods for 3D Earth Visualization with Cesium

Shepherd Advanced Notes

Aug 12, 2022 · Databases

Understanding Redis: Core Data Structures and Essential Commands

This article explains why Redis’s single‑threaded design achieves high performance, details its five fundamental data types—string, list, set, hash, and sorted set—their internal implementations, and introduces advanced structures such as Geo, Bitmap, and HyperLogLog with practical command examples.

BitmapData StructuresGeospatial

0 likes · 23 min read

Understanding Redis: Core Data Structures and Essential Commands

Java High-Performance Architecture

Jun 15, 2022 · Databases

How Redis Implements High‑Performance ‘Nearby People’ Search with GEOADD & GEORADIUS

This article explains the Redis Geo module’s GEOADD and GEORADIUS commands, analyzes their source code, and details the geohash‑based algorithm that enables efficient “nearby people” queries by converting coordinates to 52‑bit scores, searching nine‑grid cells, and filtering by spherical distance.

GEOADDGEORADIUSGeospatial

0 likes · 20 min read

How Redis Implements High‑Performance ‘Nearby People’ Search with GEOADD & GEORADIUS

Python Programming Learning Circle

Dec 4, 2021 · Big Data

Visualizing US Census Data with Datashader: A Step‑by‑Step Python Guide

This tutorial demonstrates how to load a large US census Parquet dataset, convert WebMercator coordinates, filter by geographic regions, and generate high‑resolution visualizations of population density and racial distribution using Python's Datashader library with various colormaps and export options.

Big DataGeospatialcensus

0 likes · 8 min read

Visualizing US Census Data with Datashader: A Step‑by‑Step Python Guide

Python Crawling & Data Mining

Mar 16, 2021 · Fundamentals

Find Nearest Geographic Points in Large Excel Files with Python

This article demonstrates a step‑by‑step Python workflow for reading two Excel sheets, calculating haversine distances between latitude‑longitude pairs, identifying the nearest point for each record, and exporting the results, complete with code snippets, progress display, and performance advantages over traditional GIS tools.

ExcelGeospatialdata-processing

0 likes · 6 min read

Find Nearest Geographic Points in Large Excel Files with Python

Suning Technology

Sep 29, 2020 · Databases

How SuNing’s O2O System Uses PostGIS & Citus for Scalable Geospatial Retail

Facing the post‑pandemic slowdown of e‑commerce growth, SuNing pioneered an O2O “smart retail” strategy by integrating online and offline channels through its “Anytime Business System,” which combines PostGIS‑enabled geospatial analysis, PostgreSQL high‑availability clustering with Citus, and seamless data flow across front‑end, transaction, and support layers.

CitusGeospatialO2O

0 likes · 17 min read

How SuNing’s O2O System Uses PostGIS & Citus for Scalable Geospatial Retail

21CTO

Jan 5, 2020 · Artificial Intelligence

US Tightens AI Software Exports: What It Means for China and Global Tech

Starting January 6, the U.S. government will enforce new export restrictions on AI software, especially geospatial image analysis tools, requiring licenses for shipments to China, a move that could impact drone, autonomous vehicle, and mapping companies worldwide while sparking debate among policymakers.

AIChinaGeospatial

0 likes · 6 min read

US Tightens AI Software Exports: What It Means for China and Global Tech

Amap Tech

Oct 16, 2019 · Artificial Intelligence

Visual Intelligence Connecting the Real World – Amap’s Mapping and AR Navigation Technologies

Amap leverages large‑scale visual intelligence—camera‑captured imagery, AI‑driven road‑sign and POI recognition, and compressed AR navigation overlays—to automate map creation, enhance real‑time positioning, and deliver richer travel experiences for its billion‑scale user base.

AIAR navigationGeospatial

0 likes · 13 min read

Visual Intelligence Connecting the Real World – Amap’s Mapping and AR Navigation Technologies

Xianyu Technology

Dec 12, 2018 · Big Data

Community Data Normalization Using Prefix Matching and Text Similarity

The study presents a four‑step pipeline that normalizes community data for rental platforms by clustering records using longest‑common‑prefix patterns, geographic filtering, Levenshtein similarity, and pattern‑based parent‑child assignment, achieving under 8 % false positives and 5 % false negatives.

ClusteringGeospatialdata normalization

0 likes · 10 min read

Community Data Normalization Using Prefix Matching and Text Similarity

Manbang Technology Team

Nov 15, 2018 · Fundamentals

Introduction to GIS and Its Application in Highway Logistics Platforms

This article explains the fundamentals of Geographic Information Science (GIS), recounts John Snow's historic cholera map as an early GIS example, and details how GIS technology can be leveraged to build a road‑logistics platform that enables real‑time monitoring, dispatch, path planning, and data‑driven decision making for transportation companies.

Data VisualizationGISGeospatial

0 likes · 10 min read

Introduction to GIS and Its Application in Highway Logistics Platforms

Baidu Maps Tech Team

Mar 1, 2016 · Frontend Development

How Baidu Maps Turns Massive Geodata into Interactive Visual Stories

This article explores how Baidu Map’s open platform leverages web‑based visualization libraries such as ECharts, MapV, Canvas, SVG and WebGL to render point, line and polygon geospatial data—including heatmaps, clustering, and 3D charts—while addressing performance challenges of large‑scale datasets and outlining the front‑end technologies used.

Baidu MapsCanvasData Visualization

0 likes · 12 min read

How Baidu Maps Turns Massive Geodata into Interactive Visual Stories

Architect

Feb 20, 2016 · Databases

Understanding GeoHash: Spatial Indexing and Its Application in Proximity Queries

This article explains the GeoHash algorithm, how it converts latitude‑longitude coordinates into hierarchical string codes, the precision trade‑offs of different code lengths, the binary encoding process, the use of space‑filling curves, and practical considerations when applying GeoHash for nearby point‑of‑interest searches.

Geospatialdatabase indexgeoHash

0 likes · 9 min read

Understanding GeoHash: Spatial Indexing and Its Application in Proximity Queries

21CTO

Aug 13, 2015 · Databases

Mastering Redis GEO: Add Locations, Compute Distances, and Build Nearby User Features

This tutorial explains Redis 3.2 GEO capabilities, showing how to add geographic data with GEOADD, retrieve positions, calculate distances, query nearby points with GEORADIUS/GEORADIUSBYMEMBER, and implement practical features like "find nearby users" and an efficient "shake" random selector.

DatabaseGEOGeospatial

0 likes · 11 min read

Mastering Redis GEO: Add Locations, Compute Distances, and Build Nearby User Features

Java High-Performance Architecture

Jul 13, 2015 · Databases

How Redis Geo Powers Accurate Location Services at Scale

This article explains the challenges of location‑based services, why a two‑dimensional index is needed, and how Redis Geo provides precise, high‑performance geospatial operations that handle millions of requests per second for mobile applications.

GeospatialLocation‑based servicesNoSQL

0 likes · 3 min read

How Redis Geo Powers Accurate Location Services at Scale