Melbourne, Australia: Ambient Maps, a leader in noise modelling geospatial data and analytics, and AURIN, the Australian Urban Research Infrastructure Network, have announced a partnership to deliver advanced geospatial intelligence to urban planners and researchers.
The partnership will leverage Ambient Maps’ expertise in noise modelling, data acquisition and processing and AURIN’s extensive data resource management and infrastructure capabilities. It will provide researchers from academia, government and industry with the most comprehensive and accurate data and insights available about noise at the most competitive rates.
“AURIN and Ambient Maps are both committed to improving the livability and sustainability of our cities,” said Mr. Aaron Magri, Commercial and Partnerships Lead at AURIN. “By partnering, we are able to provide researchers from academia, government and industry with the geospatial intelligence about noise they need to make informed decisions about noise, and its impacts on the future of our cities.”
“We are excited to be working with AURIN to deliver advanced geospatial intelligence to researchers from academia, government and industry through their infrastructure” said Mr. Ben Hinze, Director of Ambient Maps. “Our partnership will enable us to commercialise our product with the assistance of AURIN and provide the most accurate noise data and insights to help shape the future of our cities.”
The partnership will focus on providing data and insights in areas such as urban planning, health, transportation, and environmental management. The collaboration will also include continued collaboration and the development of new geospatial intelligence products and services, allowing for new, innovative research based on the latest noise data.
“This partnership is an important step forward in using geospatial intelligence to improve the livability and sustainability of our cities,” said Professor Pascal Perez, Director at AURIN. “We look forward to working with Ambient Maps to make the outcomes of their modelling available and deliver the data that will shape the future of our cities.”
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