Point Break - Crowdsourcing Beach Intelligence | On Demand Spatial Awareness

Team Name: 
Point Break

Crowdsourcing beach intelligence to encourage participation of recreational activities and utilisation of our coastal areas with real time spatial awareness.

## Our aims:

* Tackle beach safety with a solution that fits into peoples current habits (not just a shark spotting app).
* Encourage activity and engagement around beaches and beach communities.
* Drives collaboration and sharing of local knowledge.
* Feed useful data back into industry/government.

## Problem Statement

Current surf/weather apps provide valuable information about weather and the surf conditions of Australian beaches. However:

* They do not enable discovery beaches
* They are often aimed specifically at surfers - ignoring the simple beach goer
* They do not have information about beach safety 
* Conditions can be difficult to interoperate for beginners
* Provide a means for community feedback

Addressing community beach safety is an especially prevalent problem, given the recent shark attacks in WA resulting in conflict between government, surfers and the general public.

## Solution

PointBreak is an app that aims to provide beach goes with a easily consumable way of discovering beaches, understanding surf conditions, collaborating your community all while and keeping you safe.

The app allows you to setup surf alerts that monitor current beach and weather conditions - then notify you when its the best time to go to the beach! Alerts that users set up get added to a public list which which they can use to discover new spots and learn what conditions are best for their favourite activities. Users also have to ability to submit events and information about the current conditions so the community can get notified with real and up to date observations.

PointBreak also intelligently keeps track of shark alerts and dangerous weather in the background, both from government data sources, and user curated content, so app can let you know if it might be best to keep out of the water.

Used Datasets: 
Dataset Name: 
Western Australia’s GovHack Shark Hazard api
Publishing Organisation/Agency: 
Department of Fisheries
Jurisdiction of Data: 
Government of Western Australia
How did you use this data in your entry?: 
We've used 3 of the Shark Hazard api resources in our entry ## CoastalFeatures We are using the coastal features dataset to enable discovery of enable nearby locations for users of our app. ## Sightings We are using the sightings dataset to hook into a user subscription feed that triggers alerts for users based on user location and other preferences. ## Detections We are using the detections dataset to hook into a user subscription feed that triggers alerts for users based on user location and other preferences. ## Mentor Availability The team from the Department of Fisheries were an excellent resource over the weekend. They were proactive in approaching us and providing advice and suggestions about creative uses of their dataset. They also worked with us to identify other data sources that we could use to link spatial awareness with user submitted local knowledge in our solution.
Dataset Name: 
Historical rainfall and temperature forecast and observations hourly data - Weather forecasting verification data (2015-05 to 2016-04)
Publishing Organisation/Agency: 
Bureau of Meteorology
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
## Data Use Our application can be summarised as crowdsourcing beach intelligence. Users share and rate condition sets for locations. Condition sets are primarily weather conditions. Using the historical forecast and observation data we enable quick sharing of either current or recent conditions of a location that other users are then able to rate and set up subscriptions to be alerted when similar conditions will occur at that location. We used this dataset to enable the design of this feature and to inform how it can be used moving forward. ## Mentor Availability There were no local data mentors and we didn't take advantage of any of the national mentors via slack. As our project will also require access to the paywalled forecast data set from BoM we decided to primarily focus on integrating other datasets and taking advantage of local mentors. Moving forward it would be great to get access to a BoM mentor.
Dataset Name: 
Coastline (LGATE-070)
Publishing Organisation/Agency: 
Landget
Jurisdiction of Data: 
Non-Government Organisations
How did you use this data in your entry?: 
We've made use of this for two separate features. Firstly for creating a map for users to select location bounds when sharing a weather condition set. This enables local knowledge to be shared in a scoped way. We've also used it to plan how we could provide smarter search bounds for discovering condition sets based on locations. For example a condition set that is falls within 50km of a user is only useful if there is a similar coastline distance. Using this data we can scope queries in an intelligent way to coastline accessibility. A mentor from Landgate talked us through what is available from Landgate and the history and likely future direction of the map data we were interested in. Despite taking advantage of their advice fairly late in the event, they wer very helpful in explaining how we could incorporate the data into our project.
Dataset Name: 
Landgate WA Locate mosaic
Publishing Organisation/Agency: 
Landgate
Jurisdiction of Data: 
Non-Government Organisations
How did you use this data in your entry?: 
As part of discovery for new locations for out application we wanted to provide contextual spatial knowledge alongside the current weather observation, forecast conditions and user submitted condition sets. Using map tiles from this dataset allows us to provide nice looking card backgrounds which have the location marked on satellite and aerial photography. We've used this data to inform the design of the discovery features of our application.
Event Location: 
Perth