Open Street Map
Open Street Map
OpenStreetMap (OSM) is a collaborative project to create a free and open map of the world. It's a massive, global database of geographical information that anyone can access and contribute to.
OpenStreetMap (OSM) is a collaborative project to create a free and open map of the world. It's a massive, global database of geographical information that anyone can access and contribute to.
OpenStreetMap (OSM) is a collaborative project to create a free and open map of the world. It's a massive, global database of geographical information that anyone can access and contribute to.
Tags
Tags
Urban
Economy
Landuse
Transportation
General
Buildings
Coverage
Coverage
Coverage
Global coverage
Global coverage
Global coverage
Credits
Credits
Credits
Open Street Map
Open Street Map
Open Street Map
Source tag
Source tag
Source tag
@open street map
@open street map
@open street map
Geometry types
Geometry types
Geometry types
Points
Points
Points
Polygons
Polygons
Polygons
Lines
Lines
Lines
Source link
Source link
Source link
Common data categories
Common data categories
Common data categories
Roads: Different road types (motorway, primary, secondary, etc.), one-way roads, speed limits, and more.
Roads: Different road types (motorway, primary, secondary, etc.), one-way roads, speed limits, and more.
Roads: Different road types (motorway, primary, secondary, etc.), one-way roads, speed limits, and more.
Buildings: Building outlines, heights, building types (residential, commercial, industrial), and more.
Buildings: Building outlines, heights, building types (residential, commercial, industrial), and more.
Buildings: Building outlines, heights, building types (residential, commercial, industrial), and more.
Points of Interest (POIs): Restaurants, shops, schools, hospitals, parks, monuments, and other places of interest.
Points of Interest (POIs): Restaurants, shops, schools, hospitals, parks, monuments, and other places of interest.
Points of Interest (POIs): Restaurants, shops, schools, hospitals, parks, monuments, and other places of interest.
Water Features: Rivers, lakes, canals, coastlines, and more.
Water Features: Rivers, lakes, canals, coastlines, and more.
Water Features: Rivers, lakes, canals, coastlines, and more.
Administrative Boundaries: Country borders, state lines, city limits, and more.
Administrative Boundaries: Country borders, state lines, city limits, and more.
Administrative Boundaries: Country borders, state lines, city limits, and more.
Land Use: Residential areas, commercial areas, industrial areas, forests, etc.
Land Use: Residential areas, commercial areas, industrial areas, forests, etc.
Land Use: Residential areas, commercial areas, industrial areas, forests, etc.
Attribute table
Attribute table
Attribute table
The attribute table of all OSM datasets contains much data useful for specific tasks. However, disadvantages include the lack of standardization in columns with detailed object information and the presence of many "nan" values.
The attribute table of all OSM datasets contains much data useful for specific tasks. However, disadvantages include the lack of standardization in columns with detailed object information and the presence of many "nan" values.
The attribute table of all OSM datasets contains much data useful for specific tasks. However, disadvantages include the lack of standardization in columns with detailed object information and the presence of many "nan" values.
Data collection
Data collection
Data collection
Map data is gathered through ground surveys, personal knowledge, digitizing from imagery, and government sources. Ground survey data is collected by volunteers often using tools such as a handheld GPS device, a notebook, digital camera, and voice recorder.
Map data is gathered through ground surveys, personal knowledge, digitizing from imagery, and government sources. Ground survey data is collected by volunteers often using tools such as a handheld GPS device, a notebook, digital camera, and voice recorder.
Map data is gathered through ground surveys, personal knowledge, digitizing from imagery, and government sources. Ground survey data is collected by volunteers often using tools such as a handheld GPS device, a notebook, digital camera, and voice recorder.
Microsoft
Climate Data
