GIS Automation: When to Automate and When NOT To
GIS Automation: When to Automate and When NOT To Automation is one of the most powerful trends in GIS today. From data loading to QA/QC and reporting, automation promises speed, consistency, and scalability. But here’s the uncomfortable truth: Blind automation breaks more GIS projects than it fixes. This article explains when GIS automation makes sense, when it doesn’t, and how to make intelligent automation decisions that improve outcomes. 🔍 What Does GIS Automation Really Mean? GIS automation is the use of scripts, tools, or workflows to perform repeatable GIS tasks with minimal manual intervention. Common automation approaches include: Model-based workflows (ModelBuilder, FME) Scripting (Python with ArcPy, SQL, shell scripts) Scheduled jobs and triggers SQL procedures that clean incoming data ETL (Extract, Transform, Load) tools Automated validation rules and topology checks Automation is not about replacing ...