The Urban Sustainability brand within the City of Melbourne required a pilot project to analyse and map the thermal comfort for pedestrian routes.
On 18-21 June, Dr Zaffar Sadiq Mohamed-Ghouse, Executive Director – Strategic Consulting & International Relations joined global leaders in Kuala Lumpur, Malaysia for the fourth United Nations Expert Consultations and Meetings on the Development of the Implementation Guide of the Integrated Geospatial Information Framework (IGIF).
The Biodiversity Division of DELWP engaged Spatial Vision to produce a mobile application in ArcCollector to be the field data capture tool for the DELWP biodiversity web mapping application STAR.
Spatial Vision developed a mobile App map ordering using solution based on advanced HTML5 hybrid framework that focuses on performance, and can create App for multiple platforms such as iOS and android as well as desktops using a single source code that can reduce the cost and effort of development for these multiple platforms.
With the frequency of extreme heat events increasing in urban areas, heat stress is becoming a major health concern for pedestrians as they navigate their way across the urban landscape.
Melton City Council engaged Spatial Vision to develop a GIS service plan including review of its existing operational work needs.
Shadeways is a new program that takes into account weather conditions, time of day and tree canopy to find the most optimal route for thermal comfort unlike current navigation apps like Google Maps.
The area around the Box Hill Railway station has been a major development hub since the early 2000s. While most residents and visitors to the area cannot but help notice that there is a construction boom, data from DELWP’s Housing Development Data project helps to put this in context.
Geospatial information is part of our daily life and business. Many business areas in Local Government Authorities (LGAs) rely on Geospatial Information Systems (GIS) to deliver services to external customers or to support efficient internal daily operations.
The School of Global, Urban and Social Studies (GUSS) within RMIT University recently undertook a pilot project to determine the feasibility of using machine-learning ability to identify occupied ground surface car spaces using aerial photography (NearMap) and satellite imagery from Sentinel-2.