futureNow is a web application that predicts the volume of people using different modes of transport for specific locations (i.e: train stations). Predictions on train patronage and traffic volume are based on weather indicators and time variables (day of the week, month etc.)
We are creating a map first guide for new comers to the neighbourhood.
This will first facilitate people who moves to a new area or tourists visiting a new place.
Data from the city of melbourne will be a good start for the app.
Quantitative information will be generated through a data-mining algorithm to present.
Get parked is an informative, easy to use interface that connects everyday individuals to the amazing experiences and getaways right in their backyard. Country Victoria has a vast number of parks and sites open to public use, however there is no easy way to find information on these sites and hence can be intimidating for those that are not bush savvy, to plan a bush/outdoor weekend outing.
SweetSpot is a data visualisation tool which combines employment, building, residential and traffic data in Melbourne to determine promising locations to start or expand a business.
It allows users to interrogate a wide range of property, landuse and demographic datasets at an individual building level, with the aim of helping users suitably locate a business. The tool allows for the interrogation of:
Election Stitchup is a data visualisation project for the 2010 and 2013 Senate election results. We decided to work with election data but with a desire to represent it in a way that really stretched GovHack’s horizon - by crocheting the results.
We are using this dataset as it is available on the data.gov.au site, a major data portal for GovHack and indeed the data that partially determines who the Federal Government is!
Highway to the Danger zone is an interactive planning tool intended to help policy makers with identifying future trends for population, employment and travel demand growth and planning future development. In particularly the tool utilises Geelong City Council planning population forecasts and compares sub-region employment with labour force. Furthermore, public transport accessibility is shown for each small area.
Crowdfunding and crowdsourcing are proving to be great ways to utilize the economy of scale to affect change – be that local, state or federal government, charity organisations or the lives of individuals. Everybody can make a change for good, but some don’t know how. This is where Helping Hand comes in; utilising the idea of crowdsourcing, data analytics and big data visualisation to understand what charities, causes and community challenges need assistance and where volunteering resources can be best spent.
An app allowing users to find their closest public amenity (toilets, shower, drinking water), provide feedback rating of the facility and inform the body responsible for the amenity if maintenance is required. By recording the location of users when they indicate they need a facility and providing access to this new dataset to councils and town planners via both an API and a heatmap, it is easy for them to visualise where new amenities are most needed.
IPGODMODE - patent visualization and prediction with machine learning