A slate magnifying glass over a grid of teal squares, three squares under the lens turned amber and one left as an empty outline
Data quality for GIS
Five audits a professional runs before trusting a layer: identifiers, coordinates against geometry, probable duplicates, completeness against a second layer, and the fitness of a boundary polygon for assignment.
Data Management
Steps
5
Each assumes the one before it
Time
~3 h
At the problems' own estimates
XP
1,120
Before hint costs and speed bonuses
Progress
0/5
Start the pathBegins with Which airport codes will break the schedule join?
What you will be able to do
Audit a dataset before using it — find the missing, malformed and duplicated keys, measure where attributes disagree with geometry, test one layer's completeness against another, and decide with numbers whether a polygon layer is fit to derive attributes from.
Data Management is examined in the Spatial SQL — Associate, which issues the Kharita Certified Spatial SQL (Associate) (KSQL-A1). The problems here are the practice; the assessment is the same kind of problem, under time.