Abstract: A time‐series dataset plotted as a raster "time map" and analyzed in a GIS‐like manner offers project managers, decision makers, scientists, and other professionals an alternative approach to examining time-based data. This data configuration technique can integrate time‐series values from numerous sources such as observations, model output, or other time‐based data. This is important skill in the era of “big data” and provides organizations a higher GIS Return On Investment (ROI). Workshop examples include multi‐scale temporal pattern identification and quantification, data quality checks, difference plots,thresholds, image filtering, as well as other visualization and data overlay techniques. Also demonstrated is how a stacked GIS-like analysis of temporal data can be conducted. This approach is an excellent tool for conducting scenario-based studies, substituting key layers to produce multiple summary layers for comparison. Discussion also includes the important differences between raster-based temporal maps and traditional geospatial maps. General agenda: The workshop will have an introductory session to cover theory and some overall basics of this technique. This will be followed up with a hands-on session to producing raster-based graphics. Objectives: The specific objectives of this workshop are to: 1. Introduce participants to raster time-series “time map” raster plots. 2. Provide participants with insights and interpretation of temporal data patterns. 3. Provide participants with instructions on how to format data and produce raster plots. The concepts used in the workshop are readily transferable to other GIS/mapping software packages.