OpenStreetMap Query-geospatial data extraction tool
AI-powered OpenStreetMap query generator
Buildings near rivers
Hills above 500m
Cafes in Petersfield, England
Shops excluding cafes
Buildings inside residential areas
Related Tools
Load MoreQGIS Assistant
The definitive QGIS GPT for all skill levels. Trained on the entire QGIS documentation and general GIS theory, this GPT will assist you with any QGIS-related task.
Geo+
Your assistant for quick geospatial analysis
ChatGIS
Experto en GIS, PostgreSQL, PostGIS, programación y cartografía
Elasticsearch Assistant
Your very own Elasticsearch Copilot
Map Maker
あなたの指定した地点や住所の周辺地図を描きます
GIS Expert
GIS Expert for ArcGIS, PostgreSQL, Python advice
20.0 / 5 (200 votes)
Introduction to OpenStreetMap Query
OpenStreetMap Query (OSM Query) is a specialized tool designed to create and execute queries on the OpenStreetMap (OSM) database using the Overpass API. The primary function of OSM Query is to allow users to retrieve geospatial data based on specific criteria and parameters. It serves various purposes, from simple data extraction, like finding all buildings in a specific area, to complex spatial queries, such as identifying relationships between different geographical features. For example, one might use OSM Query to find all cafes within 500 meters of a park or to locate power lines that do not intersect residential areas. By using the Overpass QL syntax, users can perform highly customized searches, making OSM Query a powerful tool for anyone needing detailed and specific geographic information.
Main Functions of OpenStreetMap Query
Extracting Specific Features
Example
Finding all buildings within a defined bounding box.
Scenario
An urban planner needs to inventory all structures within a new development area. Using OSM Query, they can generate a list of all buildings in the specified coordinates to plan infrastructure and utilities.
Spatial Relationship Analysis
Example
Identifying buildings within 300 meters of a river.
Scenario
Environmental researchers studying flood risks can use this function to assess how many structures lie within the flood-prone areas along a riverbank. This helps in creating risk mitigation strategies.
Exclusionary Searches
Example
Finding shops that are not charity shops or cafes.
Scenario
A market analyst wants to analyze retail diversity in a city center. By excluding charity shops and cafes, they can focus on other types of retail outlets to understand the commercial landscape better.
Ideal Users of OpenStreetMap Query Services
Urban Planners and Developers
Urban planners and developers benefit from OSM Query by accessing detailed maps and data for planning infrastructure, zoning, and construction projects. They can retrieve specific information about land use, building types, and proximity to amenities, aiding in comprehensive urban development.
Environmental Researchers and Analysts
Environmental researchers use OSM Query to gather data on natural features and their interactions with human-made structures. This information is crucial for studies on environmental impact, conservation efforts, and disaster management, as it allows for precise mapping of ecological zones and potential risk areas.
Guidelines for Using OpenStreetMap Query
1
Visit aichatonline.org for a free trial without login, also no need for ChatGPT Plus.
2
Ensure you have a basic understanding of Overpass QL syntax and OpenStreetMap tagging conventions.
3
Access the Overpass Turbo website to test and run your queries using their user-friendly interface.
4
Formulate your query by specifying the geographical area and the features you are interested in, utilizing the Overpass QL syntax.
5
Run your query and analyze the output, refining your query as needed to get the desired results.
Try other advanced and practical GPTs
Database Architect
AI-powered database design and review.
Azure Well-Architected Advisor
AI-powered Azure architecture advisor
Artificial Intelligence Expert
Your AI-Powered Expert for All Queries
宝宝起名
AI-powered tool for meaningful baby names.
Art Buddy
AI-powered creativity for families and kids
StockGPT
AI-powered market insights for smarter decisions.
Seer's Screaming Frog & Technical SEO Companion
AI-powered SEO analysis and insights
Memoji Maker
Create AI-powered Memojis easily
Situacions d'Aprenentatge CAT
AI-powered learning situation creator
Filament Docs
AI-powered FilamentPHP Documentation
ScreenWriter GPT
AI-powered Screenwriting for Everyone
ストックフォト・イラストのタイトル・タグ提案くん
Boost your stock photo visibility with AI.
- Academic Research
- Urban Planning
- Environmental Studies
- Custom Maps
- Transportation Analysis
OpenStreetMap Query: Detailed Q&A
What is OpenStreetMap Query?
OpenStreetMap Query is a tool that allows users to create precise Overpass QL queries to extract specific geospatial data from the OpenStreetMap database.
How can I specify a geographic area in my query?
You can specify a geographic area in your query by using the geocodeArea feature in Overpass QL, followed by the area name and additional tags to refine your search.
What types of features can I query in OpenStreetMap?
You can query a wide range of features including buildings, natural landmarks, transportation infrastructure, amenities, and more, by using the appropriate tags in your Overpass QL query.
Can I perform spatial relationship queries with OpenStreetMap Query?
Yes, you can perform complex spatial relationship queries such as finding buildings near rivers or power lines not crossing residential areas using specific Overpass QL syntax.
What are some common use cases for OpenStreetMap Query?
Common use cases include urban planning, environmental studies, transportation analysis, academic research, and creating custom maps for various applications.