Approaches to Isolate Forced Changes
In the synthesis of group discussions, various approaches to isolate forced changes in models and observations are highlighted. Hurdles such as time-limited observations and sources of uncertainty in projections are discussed, along with the evaluation of models and attribution of extreme events. The content emphasizes the challenges and considerations in understanding forced changes and uncertainties in climate projections.
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Presentation Transcript
Representing Uncertainty in Geospatial Visualizations Matthew L. Sisk GIS / Anthropology Librarian Navari Family Center for Digital Scholarship Eck Institute for Global Health
What is uncertainty? the state of being uncertain Anything that renders a measurement less than absolutely accurate Measurement error Measurement bias Missing components Ambiguously defined concepts Geospatial uncertainty Positional accuracy Geometry choices Model error terms Different scales of measurement Administrative differences
How do we represent uncertainty? Positional uncertainty Size or color of point locations represents the uncertainty of the location GPS or geocoding error term Fuzzyness / Opacity Opacity is used to represent an error term http://project-ukko.net/map.html Uncertainty in statistical measures e.g. American Community Survey
How do we teach people it is important? Incorporate into early GIS workshops / guest lectures Develop tools for instructors / independent learners to understand and effectively visualize the uncertainty in their data Libguide / github page of examples and techniques in major geospatial software
