Ozri Update: Cartography – Think Big!


The latest from Ozri

Hello from Melbourne. Thanks to everyone who made it out this morning to see Kellie and I talk about streamlining your cartography workflows.

Carto is definitely a favourite topic, for Kel and I, when we get started we can talk about mapping and visualisation for well.. hours. We did however, manage to distill what we wanted our session to convey. When it comes to cartography it’s time to Think Big!

Thinking big is about putting Cartography at the heart of every enterprise GIS system. Data alligned to cartographic standards, ready to be used across multiple products, in varying formats. It’s about map outputs ready to print “on demand”, published to the web or easily package up to share. All of this done whilst maintaining all important cartographic industry standards.

We started our session talking about enterprise cartography. The ability to store your cartographic information in the geodatabase, not just geodatabase annotation but Cartographic Representations allowing you to have your symbols assigned against each and every feature.  Cartographic Representations aren’t only a smart storage solution but provide access to tools that sort out those pesky cartographic challenges you just can’t solve.

We showcased data driven pages and it’s ability to create consistent, good looking map output with the click of a button (or 2, OK maximum 3). I know the ability to quickly create map output to specifications is important to everyone. I often wish I had access to this years ago!

No surprises that I handed the reigns over to Kellie when we started talking about Python. I am a complete novice when it comes to scripting but I do know that Python pulls it all together.  At ArcGIS we have access to a dedicated mapping module part that is part of the ArcPy site package . From here you can manage map documents, layer files and their contents. The time saving benefits are really noticed when you tap into Python;

  • Find a layer with data source x and replace with y
  • update a layer’s symbology in many MXDs
  • generate reports that list document information, data sources, broken layers, spatial information.. anything you need.
They key thing with Python and the rest of the tools is automation, being able to streamline the process from project conception to final export, print and serve.
It was great to bring just a taste of what is on offer in cartography today, see you next time.
Laura B.
To find out more about this presentation or topic, please contact us via email.

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