As the saying goes – a picture says a thousand words
Because of the way the human brain works, it’s much easier for people to understand data represented in a chart or on a graph rather than hidden away in spreadsheets or reports. Data visualisation is key to making data analytics approachable and conveying analysis results effectively.
In its raw form, data can be essentially meaningless. Without the ability to compare and contrast, highlight trends and predict outcomes, the value of data remains trapped. By taking raw datasets and representing them in a visual format, analysts can unlock a wealth of insights and gain a greater understanding of any situation.
Combining the latest visualisation technologies with the huge amounts of data available from companies like HERE – a leader in mapping, navigation and location experiences – allows you to present your data on striking, interactive maps that are not only informative, but also highly engaging.
This year’s Australian Esri User Conference – Ozri 2015 was another huge success. We are proud to be part of such an outstanding event which brings together mapping and spatial professionals from all over the country. We hope you enjoyed the 3-day action-packed program as much as we did.
Committed to powering your next big idea with premium content we took advantage of the conference to launch exciting new applications and deliver helpful demonstrations.
But if you’ve missed out on Ozri 2015 – don’t worry, we’ve got you covered. Find a summary of the best bits below.
After previously talking about our place/suggest service and what it can do, we received requests to actually see something in action. What better way to understand! So we’ve put this demo together for you.
Just the other day I was reading the popular Australian music website fasterlouder.com.au and I came across an article that I found interesting. It was discussing the frustration live music fans have with bands not touring in areas outside the east coast of Australia. The original reddit post was made by Luke Penman – he drew this map to describe his frustration: Continue reading →
Twitter has become the de facto standard for real-time communication about global events, and as such it gives you real insights into what’s happening in the world at any given moment. Imagine the insights you could get if you could visualise this on a map! Well you can, and it’s becoming really popular.
Recently I have been working with the Raspberry Pi kit computer to create a homemade indoor Wi-Fi Analytics solution just like momma used to make. For those of you who don’t know; Raspberry Pi is the name of a particular type of mini kit computer you can buy that runs Linux – and not a delicious type of pie!
Previously I talked about the place/suggest service which allows you to input text and get suggested results based on that input.
I’ve pulled together a guide to show you how to make a request to the suggest service, and then use the returned coordinates to place a marker on a map. I’ve used leaflet for this which is an open source solution.
Previously I spoke about the Dynamic Tile Service and how it creates tile images in real-time; its ability to easily create custom styles and colours for maps; and, its ability to tile point and polygon data sets.
In this post I will be talking about how the Dynamic Tile Service can further solve Big Data problems by allowing users to view thousands of interactive features such as pop-ups showing point detail instantly when the browser loads using the UTFGrid JSON web service.
As we have previously stated, viewing Big Data on a map brings a unique set of challenges to web based applications as browsers cannot process massive data sets all at once, instantly. This leaves users waiting for information to load and is probably contributing to the bounce rate of many web-based map applications.