Define
Clarify the inputs, rules, exceptions, outputs and decisions the process needs to support.
GIS automation and derived data creation
Turn existing spatial information into repeatable, useful outputs.
InfoSpatial develops workflows that reduce fragmented manual processing and create new, defensible datasets from existing information and specialist analytical methods.
More than process automation
Create information that did not previously exist.
Automation is not only about making an existing task faster. It can combine source data, spatial relationships and specialist methods to produce entirely new datasets and analytical outputs.
The right workflow may be fully automated, partially automated or deliberately retain expert review where judgement is important. The objective is a process that is consistent, traceable and appropriate for the decisions it supports.
Examples of work
- Repetitive data processing and conversion
- Automated validation and quality assurance
- Derived datasets from LiDAR, DTM and other source data
- Gradient modelling
- Track curvature using the Hallade method
- Spatial analysis and analytical outputs
- Automated reporting and deliverable production
- Repeatable FME, ArcGIS and QGIS workflows
A controlled workflow
Designed around the data and the people using it.
Technology is selected to fit the requirement. The workflow should remain understandable, supportable and proportionate to the organisation.
Build and test
Create the workflow against realistic data, including known edge cases and quality checks.
Document and hand over
Explain the process, assumptions and controls so the result can be used and maintained confidently.
Have data that should be doing more?
Tell us about the source information, current process and output you need to create.
Discuss a data creation workflow