Big Backyard

Project Info

G.E.O. Janes thumbnail

Team Name

G.E.O. Janes

Team Members

3 members with unpublished profiles.

Project Description

Big Backyard is a map-app that will allow people travelling around Australia to make use of open data to locate information about attractions at ever-changing locations that are not captured by standard platforms like TripAdvisor. Map your route on the app, then select “what’s near me” to see
native animals (devils, penguins, platypus), walking tracks, food vans, and street art in the vicinity.

The app will tell you how long to get there, and what you will see. But the mobile, ever-moving nature of these attractions mean that you may not be able to locate the best exact location to find the photo-op you are hunting. So, the app allows people to upload pin-drops of their sightings location and photos.

This information is overlaid with the data with official sources like government, university and commercial project data. But as a bonus, the app provides an opportunity to capture information that is not ordinarily available with open source data – to capture more of the story – by providing the information crowdsourced from tourists and members of the community back to these original data sources.

When out in the field you can use the AR app to see where others have seen the attractions you are hunting for and the data they have collected in the field.

Importantly, it also helps preserve natural heritage fauna hotspots so that locals and tourists alike can continue to have access to see our beautiful wildlife and natural attractions for years to come.
Commercially; in Tasmania alone there were a total of 1.28 million people visiting the state last year and visitors spent a total of $2.37 billion on accommodation, attractions, tours, transport and other good and services during this period. We forecast conservatively capturing 1% of the market, at $1 per download representing $128,000 turnover per annum with low ongoing overheads. Now apply that commercial turnover to a national landscape, AND with increasing yearly download growth target of 10% downloads within 3 years. Now we’re talking!
Big Backyard will appeal to people who:
* are looking for a natural eco-tourism discovery experience in Tasmania
* are seeking low/no-cost activities to supplement their more expensive holiday experiences
* enjoy adventure travelling, and the opportunity to discover natural wildlife experiences
* enjoy exploring new places off the beaten track
* want to incorporate recreation, bush walking, nature and exercise into their holiday experience
* promotes accessible, free exercise opportunities by providing destination activities for groups such as cardio rehabilitation and mental well-being instead of walking around the same familiar suburban block.

*This app will motivate users through push notification to propel residents of our community to get outside and explore.

* enables children to develop interest in and learn about our environment and for schools to integrate into curriculum.
* data uploads will also assist government to understand the habits of visitors to specific areas which may need formal infrastructure like tracks and viewing barriers to better protect them and the environment as visitor numbers grow. This information will be particularly useful in remote areas where ongoing updates may be difficult to source.
* will provide information to help preserve our natural heritage through investing in and protecting the most loved and visited places for the benefit of generations to come.

What are you waiting for? Download Big Backyard App now!

Data Story

The Big Backyard map-app uses open source data from Penguin colonies, platypus burrows, rapture nest, shark hot spots, walking tracks, biking tracks, urban art walls, waterfalls, fire trails and The List then overlay that with open Esri base maps and routing services. As an additional input we crowdsource similar data about these categories from locals and tourists to create an energy, urgency and excitement around our urban and natural environment.

Locals and tourists can find and can then visit unique highlights nearby including native animal (devils, wombats, platypus), walking tracks, food vans and street art!

Evidence of Work



Project Image

Team DataSets

Mobile Food Vendors proposed

Description of Use Food Vendors base locations

Data Set

City of Hobart Playground Locations

Description of Use used as base POI

Data Set


Description of Use download csv and coverted in shapefile

Data Set


Description of Use covered to web layer withGIS

Data Set


Description of Use transposed data form this site to creat GIS data of sight location

Data Set

Raptor Nest

Description of Use to help people find interest sights

Data Set

The List

Description of Use used as part of base data

Data Set

walking track

Description of Use POI for near by talks

Data Set

Route data

Description of Use Route engine for direction

Data Set

Art walls

Description of Use base council info

Data Set

Bike Path

Description of Use Base map info

Data Set


Data Set

Challenge Entries

Most outstanding Tasmanian Benefit

How can we use data to benefit residents of the state.

Go to Challenge | 10 teams have entered this challenge.

Best use of Tasmanian Spatial Data Challenge

How can we use a Tasmanian spatial data to improve Tasmanian residents lives on a daily basis.

Go to Challenge | 9 teams have entered this challenge.

Most Commercial Potential

How can we showcase Tasmanian Data, and create something that could go on to be Commercial success.

Go to Challenge | 7 teams have entered this challenge.

More than apps and maps: help government decide with data

How can we combine data to help government make their big and small decisions? Government makes decisions every day—with long term consequences such as the location of a school, or on a small scale such as the rostering of helpdesk staff.

Go to Challenge | 58 teams have entered this challenge.

Bounty: Mix and Mashup

How can we combine the uncombinable?

Go to Challenge | 61 teams have entered this challenge.