Data Lens is a cloud-based API toolkit for developing web-based geographical data visualizations. Raw data is queried via a REST API from the Data Lens cloud, and transformed and aggregated to provide input to the JavaScript API, which can render map objects, vector shapes and heat maps. This talk is about the beauty behind big data represented by Data Lens heat maps, the beauty behind its accuracy and its engineering.
A graduate in computer science and information systems, Stoimen started his working life as a server-side developer. For the past eight years, he has fallen hopelessly into front-end technology stacks. Ever since then, he keeps an obsessive interest in the integration of the latest technologies discovered in the wide world of the front end. Stoimen is currently an R&D Lead for the Product Innovation team in the HERE IoT Department.
Smart cities make use of information technologies to improve performance and quality of urban services, to decrease costs and to optimize resources, besides to involve citizens actively. However, many citizens do not know all the services and advantages that a smart city offers to them. In this work, we make use of a videogame to involve them in different cities and, by playing with real services, increase their knowledge about smart cities.
Francisco Ramos is Associate Professor at University Jaume I of Castellon (Spain). He teaches in the Master Erasumus Mundos of Geospatial technologies and is Director of a Master in Mobile Programming and Videogames. Moreover, he is also co-founder of Pixeder.com
