The TalkData Blog
TalkData is your go-to blog for all things related to data, asset management, RAMM, and information systems.
Whether you are interested in infrastructure asset management, road network management, or the land transport sector, TalkData is a perfect resource for you. But even if you just enjoy data, interesting projects, and cool tools, you'll find plenty to love at TalkData too.
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A new era for RAMM as thinkproject Group acquires the business
In the midst of the second week of the COVID-19 level 4 lockdown here in New Zealand, an interesting email arrived in inboxes for those in the world of RAMM. It was an announcement that as of the 1st April 2020, thinkproject Group has purchased RAMM Software NZ and Australia.
The announcement addressed the future direction of the software, and hinted at some big things to possibly come.
Try out new RAMM features with RAMM Beta
Beta versions of software can provide a preview of new features and tools coming out soon. This is prior to them being released in the ‘production’ or off-the-shelf version of the product.
With RAMM you can access the Beta version of the software from directly within your browser. This means you can start using some new and updated RAMM features ahead of their formal release.
A video walkthrough to show centreline directions in RAMM Map
Carriageway sections define the increasing linear direction of each of the roads in your RAMM database. However by default you are not able to easily see this direction as part of the centreline symbology in the map.
The good news is that RAMM map layers are configurable. So it is totally possible (and pretty easy) to get the centreline directions to show up as part of the symbology.
Detecting hundreds of invalid centrelines in a single network
Today’s post is a case study look at a centreline data validation analysis project, undertaken by The Datastack, which had an amazing and somewhat surprising outcome!
The Datastack was commissioned by a professional services consultancy for this project, with the dataset in question relating to a local authority transport network.
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