Quality Impact Explorer
See how data quality problems affect flood risk analysis
Elevation Precision
Positional Error (Buildings)
Sea Level Scenario
Map Layers
Guided Questions
Move the Elevation Precision slider from 1m to 5m. How does the flood zone boundary change? What does this tell you about how data resolution affects analysis?
Add positional error to the buildings. At what level of error do buildings start appearing in the wrong flood zone? Would this error matter for a resource consent decision?
Look at the marae locations on the map. Why might publishing the exact coordinates of these cultural sites raise ethical concerns? How does this relate to Te Mana Raraunga (Maori Data Sovereignty)?
You receive a shapefile of flood extents from 2005. The description says "1m resolution, NZGD2000 datum." Using the fitness-for-purpose test, is this dataset suitable for planning new housing in 2025? List three concerns.
The error propagation formula shows that combining two datasets with 10% error each gives approximately 14% error. If the elevation data has ±0.5m accuracy and the sea level projection has ±0.3m uncertainty, what is the approximate combined uncertainty for the flood boundary?