Open Data
Leverage Open Data to better understand your business!
Recent Open Data initiatives launched by governments and organisations worldwide, including the UK and United States, have released a wealth of useful location-based data into the public domain. Geo.me has embraced these initiatives by creating showcase visualisations of many data sets and embedding relevant data into our product platform.
Information becomes more valuable as it is shared, less valuable as it is hoarded. Open data promotes increased civil discourse, improved public welfare, and a more efficient use of public resources.
Case Study: World Bank Indicators
The data set represented in this demo was released as an API by the World Bank in April 2010. More than 1,000 social, economic and development indicators are available for countries across the world, dating back to 1960. Select a year and an indicator to view an interactive map of the data.
Country-by-country
View historical records
Compare economic trends
Create heatmaps of data
Analyse demographic trends
Case Study: UK General Election 2010
A topical map, timed to coincide with the 2010 UK General Election. View geotagged election-related tweets over a colour-coded constituency map of Britain. This map combines data from the Twitter API, Ordnance Survey Open Data and Guardian Data Store.
Thematic mapping
Live and historical data
Multiple data sources
Geotagged Tweets
Watch trends develop
Case Study: Mapping Climate Data
The data set represented in this demo was released by the UK Met Office in December 2009. It consists of a network of individual land stations designated by the World Meteorological Organization for use in climate monitoring. The data shows monthly average temperature values for more than 1,500 locations.
Find Climate Stations
View historical records
View current forecast
Create temperature heatmaps
Analyse climate trends
Principles of Open Data
US Open Data website resource.org lists a set of fundamental principles for open government data:
Complete
All public data is made available that is not subject to valid privacy, security or privilege limitations.Primary
Data is as collected at source, with the highest possible granularity, not in aggregate or modified forms.Timely
Data is made available as quickly as necessary to preserve the value of the data.Accessible
Data is available to the widest range of users for the widest range of purposes.Machine processable
Data is reasonably structured to allow automated processing.Non-discriminatory
Data is available to anyone, with no requirement of registration.Non-proprietary
Data is available in a format over which no entity has exclusive control.License-free
Data is not subject to any copyright, patent, trademark or trade secret regulation. Reasonable privacy, security and privilege restrictions may be allowed.
More broadly, the Open Knowledge Definition (OKD) sets out eleven principles that define 'openness' in knowledge. The definition can be summed up in the statement that "A piece of knowledge is open if you are free to use, reuse, and redistribute it subject only, at most, to the requirement to attribute and share-alike."






