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3 cards from this section. Quick, good the night before a test.
What is error propagation?
Think about how errors can spread through calculations.
Name two sources of input data errors.
Consider where data is collected from.
What does error propagation describe in geospatial analysis?
Think about the impact of input data accuracy.
True or False: Monte Carlo simulations can help visualize the range of potential outcomes based on random inputs.
Remember what this method is used for, especially in uncertain conditions.
You are given multiple datasets with known variances. Explain how you'd approach the analysis of error propagation and the role of both analytical methods and simulations.
Consider how each approach complements the other in understanding total uncertainty.
Develop a small simulation where you input random values and compute an output variance. Explain each step and the significance of your findings.
Remember the steps for setting up a Monte Carlo simulation and analyzing the results.
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