Spatial Agent: Highlighting Public Domain Datasets
The World Bank recently announced the release of a new Spatial Agent app for iOS and Android (web version also available). The app curates an already impressive collection of public domain spatial datasets in a variety of formats from over 300 web services, with the developers promising to add more iconic datasets. App users can choose between the following data sources:
- Indicators (for example % of female employees in agriculture or % of forested land areas)
- Map layers
- Other (for example the Nepalese major river system or hydro power plants in Malawi)
The data can be displayed against a back-drop of one of four base map sources:
- Shaded relief (NOAA)
- Street map
- Topographic map
- World imagery
with the option to set the area of interest by Country, Basin or Region.
In this example a layer of CIESIN’s earthquake hazard frequency and distribution data is displayed against a backdrop of world imagery.
Each dataset is accompanied by a short description of the source and intended purpose and as the datasets are public domain, they may be shared through email and/or social media.
The World Bank hope that the app will help spread the news about public domain data and go some way to organising the ‘current big data cosmos’.