GLOBAL

Planet Earth Open Map Data

From Sonra

Based on OpenStreetMap and enriched with third-party sources, organised across eleven themes.

Sonra - Planet Earth Open Map Data

Data Overview

The data is based on OpenStreetMap and enriched with third party sources. It is organised across eleven themes. Each theme is organised by classes and subclasses.

Drill down from the theme into the classes, and from there, into subclasses.

  1. Administrative: This data set contains the polygons for administrative boundaries at different levels. It includes the name of the administrative area, the quadkey, and the geo coordinates.
  2. Building: Contains the type of building and its surface area.
  3. Building Detail: Contains additional information on buildings such as building material, construction type, building colour, roof shape and materials used
    Infrastructure: The infrastructure theme contains information on infrastructure such as bridges, towers, communication (cell towers etc), power stations, towers.
  4. Land: The land theme contains information such as forests, volcanoes, grass, wetland etc.
  5. Landuse: The landuse theme contains information on the way land is used, e.g. for entertainment, commercial, agriculture etc. purposes.
  6. Placename: This theme includes named locations from cities, towns, villages etc.
    POI: This theme includes points of interests such as amenities, restaurants, cinemas, schools etc.
  7. Road: This theme set covers the road network of the UK, e.g. motorways, residential streets, cycle ways, national roads etc. It includes the length of road, its usage type, the speed limit and a lot more.
  8. Transit: This theme covers airports, railways, and buses.
  9. Water: This theme covers anything related to water such as oceans, rivers, lakes etc.

Request other open data sets from Sonra: hello@sonra.io

Data Sets
=======

ADMINISTRATIVE
ROAD
POI
PLACENAME
BUILDING
LAND
LANDUSE
TRANSIT
INFRASTRUCTURE
WATER
BUILDING_DETAIL

Views included
=======

V_ADMINISTRATIVE
V_ROAD
V_POI
V_PLACENAME
V_BUILDING
V_LAND
V_LANDUSE
V_TRANSIT
V_INFRASTRUCTURE
V_WATER
V_BUILDING_DETAIL

For more information about this data listing, view the full listing in Snowflake Marketplace.

Cloud Region Availability

US West (Oregon)
Canada (Central)
US East (N. Virginia)
US East (Ohio)
US East (Commercial Gov - N. Virginia)
US Gov East 1 (Fedramp High Plus)
US Gov West 1
US Gov West 1 (DoD)
US Gov West 1 (Fedramp High Plus)
Asia Pacific (Jakarta)
Asia Pacific (Mumbai)
Asia Pacific (Osaka)
Asia Pacific (Seoul)
Asia Pacific (Singapore)
Asia Pacific (Sydney)
Asia Pacific (Tokyo)
EU (Frankfurt)
EU (Ireland)
EU (London)
EU (Stockholm)
EU (Zurich)
EU (Paris)
South America (São Paulo)

Canada Central (Toronto)
Central US (Iowa)
East US 2 (Virginia)
South Central US (Texas)
US Gov Virginia
US Gov Virginia (FedRAMP) High Plus
West US 2 (Washington)
Australia East (New South Wales)
Central India (Pune)
Japan East (Tokyo, Saitama)
Southeast Asia (Singapore)
UAE North (Dubai)
North Europe (Ireland)
Switzerland North (Zurich)
UK South (London)
West Europe (Netherlands)

US Central 1 (Iowa)
US East 4 (N. Virginia)
Europe West 2 (London)
Europe West 4 (Netherlands)

Category

Geospatial

Refreshes

Monthly

Access

Available on request

Geographic Coverage

Global (by Latitude and Longitude)

 

Business Needs

Logistics and Supply Chain Management

Urban Planning

Real Estate

Market Analysis

Trade Area Analysis

Store Location Analysis

Logistics and Supply Chain Management

 

 

Road data can be used to analyse transportation routes and optimise delivery schedules.

Urban Planning

 

 

Road data can be used to analyze the accessibility of different neighborhoods and identify areas with inadequate transportation infrastructure.

Real Estate

 

 

Road data can be used to analyze the impact of road proximity and traffic noise on property values.

Market Analysis

 

 

Administrative boundary data can aid in market analysis by segmenting markets based on geographical regions.

Trade Area Analysis

 

 

The data can be used to define trade areas around existing stores or business locations.

Store Location Analysis

 

 

The data can aid businesses in determining optimal locations for new stores or branch offices