Creating a 3D Map of the World

By liz prutting on 20th October 2017 | Map Data

Creating 3D maps at scale

WRLD has been creating a 3D map of the world since 2010. Our mapping platform streams from the cloud in real-time to users globally on mobile, web, desktop, VR or AR apps. Our proprietary technology procedurally renders GIS and other location data into an intelligent 3D representation of the world, so developers can create more engaging applications for the delivery of geolocation services and information, such as Internet of Things data.
At present, our mapping platform has full coverage for such countries as the United States, Canada, United Kingdom, Ireland, Scandinavia, the Arabian Peninsula, Italy, and more. We have partial coverage available for regions such as Spain and Australia, and are nearly complete building a 3D map of Thailand. Our 3D mapping platform now represents over 300 million square kilometers.
This article aims to detail the following:
  • WRLD’s current 3D map coverage
  • The WRLD data curation process and pipeline
  • A few case studies on how we’ve built cities and countries in 3D including Japan, Canada, and Rio De Janeiro
  • Map process lead times and how you can request new regions to be available in WRLD.

WRLD 3D map coverage by country

We will continually update our Map Data page with new areas that have been mapped in WRLD. As of October 2017, the following countries are available on the WRLD 3D maps SDK today:

WRLD Global 3D Map

* Note some countries are currently available under a separate license – Dubai, UAE, Japan
+ Note some countries are unavailable through browser – Spain, Germany, Australia, France

We carefully curate quality source data

At WRLD, our goal is to  build the most intelligent representation of the world in 3D from quality data sources. We have access to global GIS and location data from a number of special vendors that we select based on the quality and accuracy of their specific regional data. This global data provides the key information such as building footprints, land cover polygons, road polylines, terrain data and more that WRLD uses to produce an immersive mapping platform. 
For example, we work with TomTom as an essential source for WRLD global mapping data, providing navigable road network coverage, building footprint data across most major metropolitan areas worldwide and 3D landmark models for most major landmarks. For areas with limited or sparse mapping data availability, we are able to acquire additional geographic information data from our established partner network. WRLD is also able to use and convert data from OpenStreetMap under an Open Database License.
In cases where source map data is unavailable or the fidelity of the data is poor, additional mapping information data may be required. The case study featured in this article on Rio de Janeiro describes an example project where multiple map data sources were used to provide highly detailed 3D maps for a customer application. WRLD can also produce 3D maps directly from country-by-country mapping data vendors such as Ordnance Survey in Great Britain and Zenrin in Japan. The case study of Japan below illustrates an example of using Zenrin country-specific source mapping data to build nation-wide 3D maps for their mobile application.
Note, we rapidly build additional areas upon commercial interest and prioritize the map processing pipeline based on requests from our community.

Processing data and designing a 3D map

The WRLD 3D map generation process is optimized for the following types of data:
  • Building footprints, ideally including groupings and height information
  • Road polylines, ideally including height information, number of lanes, road types
  • Railway polylines, ideally including height information
  • Coarse land cover polygons, including categorization: urban, residential, commercial, transportation, agricultural, forest, etc.
  • Detailed water polygons
  • River polylines where water polygons are unavailable
  • 10m to 30m resolution Digital Terrain Model
WRLD can ingest a variety of data formats including vector data in ESRI Shapefiles & GML and raster data in GeoTIFF. The data pipeline is flexible so additional formats can be rapidly supported for input.
In areas of high importance (i.e. where detail of important landmarks are needed) the maps are manually edited to provide high fidelity visual cues. Map experiences built using WRLD can also incorporate custom 3D models of buildings (including indoors) or other 3D objects to further add to visual acuity and spatial understanding of the world. 
The images below show 2D source mapping data for downtown San Francisco and the resulting WRLD 3D map procedurally generated from that 2D source data. 
San Francisco 3D Map

3D Map Case Study – Japan

3d map tokyo

3D Map of Tokyo

For Zenrin DataCom Co., Ltd. WRLD produced a 3D map for the whole of Japan covering over 377,000 km squared.
The resulting 3D maps can be seen in the NTT DoCoMo app 3D地図 in the Japanese Android Play store and Japanese iOS App Store. WRLD generated the Japanese 3D maps using entirely new source data from a new vendor.
The data used was:
  • Zenrin Shape 10K and 25K dataset
  • Zenrin 3D objects
  • Zenrin 3D road dataset
  • Japanese Ministry of Land, Infrastructure Transport and Tourism forest and agricultural datasets
WRLD also produced stylized maps for Japan, including rice fields, cherry blossoms during springtime, and procedurally generated temples.
The project to provide 3D map coverage for the whole of Japan,  including ingestion of new vendor data and customized stylization, took only 2 months. Zenrin were able to deliver an application for NTT DoCoMo that included highly detailed 3D mapping with instantly recognizable landmarks and localized environmental cues.  
 

3D Map Case Study – Canada

Hubio worked with WRLD to produce a 3D map of Canada, covering over 9,984,000 km squared.
WRLD generated the Canadian 3D maps using source mapping data from an existing vendor augmented with a small amount of data from a new public domain vendor.
The data used was:
  • TomTom MultiNet (road, rail, water bodies, land use)
  • TomTom Advanced City Models
  • TomTom 2D City Maps
  • TomTom 3D Landmarks
  • OpenStreetMap for additional building footprints (available under ODbL)
  • CanVec land cover
  • Geobase Digital Terrain Model
The project to deliver 3D maps for the whole of Canada took only 6 weeks, allowing hubio to rapidly build and deploy their mobile applications.  
 

3D Map Case Study – Rio de Janeiro

3d map of Rio de Janeiro
For Samsung, WRLD produced a 3D map of Rio de Janeiro to coincide with the Brazil 2014 World Cup football tournament, covering an area of 1,600 km squared.
WRLD generated the Rio de Janeiro map using source data from an existing vendor, together with additional mapping data from a private data vendor.
The data used was:
  • TomTom Multinet (road, rail, water bodies, land use)
  • Galantis 3D building data
  • Galantis land cover data
  • Computamaps Digital Terrain Model
WRLD produced stylized maps for Rio de Janeiro and additionally hand-modeled over 100 important landmarks, including Christ the Redeemer, Copacabana beach and Sugarloaf mountain.
The project to deliver the initial 3D mapping for Rio de Janeiro took 4 weeks, with an additional four weeks being spent on custom map design and hand-modeling.

Lets map new areas, together

Our map processing pipeline is determined by commercial interests and incoming requests received from our developer community, which we encourage you to join! We can rapidly provide full map coverage in as little as a couple weeks of countries/regions depending on their size and density. Sign up  to request a new area, or contact us to about your project needs and we can discuss expanding our map coverage to support you.
Happy Mapping.  




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