Helping conect sports, venue and people to be more active and better use time and resources and build community
walkED is a route planning educational guide to the natural wonders in your own backyard. Using mobile first technology, educational and conservation information from national biodiversity data sets, including the 50 million individual records within Australian Living Atlas to tell you about the species, habitat and recent sightings in your local area.
Explore and download resources from global CKANs (using node and an elctron app). Data sets are easy to retrieve and review with descriptions of content. The organization, accessibility and descriptions make the open data sets easier to utilize and navigate in a much shorter time frame. Great accessibility!
As a team of software developers we understand that machines are replacing labour on both a physical level, and mental level. Automation and business needs to optimise for efficiency are putting people out of work, or significantly reducing the required hours to complete specific tasks. For our population to meet to the challenges presented by these changing employment conditions, we need our current workforce to be able to re-locate, re-skill, or re-educate; the other option - retire - is not available to the great majority of the populace.
This app uses open datasets for preparing rich information about any location in Queensland - how close it to bus stops, picnic areas, hospitals, museums, commuty halls etc.
The Australian Bureau of Meterology maintains almost 18,000 autonomous weather stations around the country, collecting Climate data such as rainfall totals, temperature extrema and windspeeds. Many of the stations have been operational since the late 19th century, so there is a wealth of information about how the climate changes over time in different parts of the country. The information, although technically available to the public, is isolated in separate websites for each station which makes it hard to interpret any useful trends to be found.
Part I : The first is a general tool to assist with doing inferential statisticl analysis
The idea is to make it trivial to combine data from multiple datasets.
It is wonderful to see how much data has been made available at the local, state and federal level as part of the open data initiative, and the orginsation of them and existing visualisation tools are impressive. What is missing, however, is the ability to combine datasets. So the first part of this project addresses that gap. It is designed to be fun and engaging to use; making it a valuable educational tool.
edStat represent data statistic differently - in a visual way.
I analysed data from the Department of Education to work out what areas has the highest dropout rate and correlate with 2011 Census Community Profiles.