Abstract

Variable Grid Method: Using Uncertainty to Inform Spatial Decisions
Track: Education and Training
Authors: Jennifer Bauer, Kelly Rose

Currently, spatial data and their associated uncertainties are rarely presented together, despite the increasing use of spatially derived products across a range of disciplines. The Variable Grid Method (VGM) is an intuitive approach to simultaneously visualize spatial patterns and trends of data and underlying uncertainties to improve the use of spatial data in advanced models and analyses as well as to better inform research, management and policy decisions.