Today we welcome a guest post by William Tober, one of the GIS and CAD experts at MNC. MNC needed to make an automated validation process for incoming files to ensure they comply with a range of business rules. Using FME, they developed online digital data submission solutions for 3 Canadian provinces. Here’s a look at the top transformers they […]
Peter Veenstra of TRC Solutions is using the AttributeCreator transformer to automate linear referencing tasks including the calculation of cumulative values to increase the accuracy of measurements in his pipeline dataset. “The AttributeCreator transformer allows a user to create new attributes using values obtained from previous or subsequent rows in an ordered input table,” explains […]
When you’re responsible for the integrity of infrastructure like pipes, water mains, roads and culverts that serve a population of roughly 250,000, you need an asset life cycle management system that runs as efficiently as possible. This is the case for the City of Burnaby in British Columbia, Canada. To ensure inspections, repairs and replacements […]
Supported by the UK Space Agency, Sterling Geo have been embarking on an innovative project to demonstrate the practical value of earth observation data. Sterling Geo used FME Cloud to quickly create apps that turn raw data into useful intelligence. Their project has uncovered a way to rapidly deploy purpose-built applications without requiring capital investment […]
The University of Oxford is mapping the human eye, with GIS & FME, to assess the progression of genetic eye diseases and the effectiveness of new treatments.
GIS undergrad David Runneals has come a long way since his internship. Now he’s building APIs to make Iowa DOT’s public data more accessible, opening it to innovative applications. To populate the data, he once again chose FME to do the heavy lifting.
This is a short post about entries to the Game of Life challenge.
If you recall, Conway’s Game of Life is a raster grid where each cell either lives or dies according to a set of rules, producing a new grid to repeat the process. The result is a living grid that a couple of people managed to solve using FME – in quite a different number of ways!
Congratulations to SFU’s Unmanned Aerial Vehicle (UAV) Team, who achieved second place at the Unmanned Systems Canada 2016 Competition. Here’s the technology behind their award-winning system and how FME helped in building flight plans and identifying locations. Facing thirteen other teams, a massive space to analyze, and high winds up to 25 knots, Team Guardian […]
Here’s the second part of my FME Golf follow up, where I showcase all of the entries from our users. I’ll also be revealing a new FME challenge to try, and giving out reputation rewards, so don’t miss out!
You might remember a blog article entitled “Code Smells and FME Golf”. The FME golf part was a challenge that users submitted a series of entries to.
A train journey from Vancouver to Winnipeg is an excellent time to do some FME golfing so, while watching the scenery pass by, I finally worked on the problem myself and reviewed what you had all done. This post is the first of two – in this post I’ll talk about the concept and what I did to achieve the goal, in the second post I’ll list all of the strategies users came up with and who had the best result!