Detailed Agenda

Spatial data science workflows guide decision-making across organizations, but most analyses downplay the impact of analytical uncertainty. Analytical uncertainty comes in many forms, including attribute uncertainty (for example, uncertain results from survey estimates) and aggregation uncertainty (for example, questioning the scale of your analysis). This technical session introduces the Assessing Sensitivity toolset and methods to help GIS professionals embrace and use uncertainty in their analysis.