GIS and Data Visualization The Critical Importance of Location, Analysis, and Communication HPC Day October 15, 2014 AGENDA What is GIS? Case Studies: Campus Lighting Regional Planning Flood Modeling Free GIS Tools George McLeod Lead Geospatial & Visualization Engineer Old Dominion University
Introduction to GIS: What + Where + Why GIS DEFINITION A collection of computer hardware, software, and geographic data for capturing, managing, analyzing, and displaying all forms of geographically referenced information.
What is GIS? What + Where + Why Geographic Information is basically Where is what located and why? Where is location What is attribute Why is analytical
Databases are what makes GIS different from paper maps Attributes of La Crosse Land Parcels
GIS is a tool(box) for accomplishing work GIS is great for mapping anything! creating inventories of facility features and assets (i.e. trees). replacing paper record keeping with secure and backed-up digital data. replacing spreadsheets with dynamic data linked to visible maps objects. reducing staff time spent on data collection, retrieval, and analysis. enabling new methods of analysis of existing data & interpretation of interrelated data based on current, accurate data.
Campus Map: Pre-GIS
Campus Map: Using GIS
Case Study 1: Lighting Analysis PROBLEM: Public Safety & limited understanding of true campus lighting conditions
Lighting Analysis: Modeling the light field
Lighting Analysis: Analyzing Variance from the optimal light performance
Lighting Analysis: Visualizing light conditions compared to acceptable levels
Lighting Analysis: Landscape Impacts
Lighting Analysis: Possible 3D Visualizations
Case Study 2: Reality Check Planning Exercise Problem: Where do we put 350,000 new people?! Gathering of 300 stakeholders from across region representing a wide variety of sectors. Day long regional visioning exercise to develop land use and growth scenarios through 2035
Case Study: Reality Check Participants allocate population, jobs, transportation improvements, and preservation areas based on group consensus
Reality Check: GIS Analysis
Reality Check: Post-game Analysis Numerical change (counts) vs. Percent Change
Reality Check: Post-game Analysis Transportation Averaging is more challenging
Reality Check: Post-game Analysis Green Space Averaging is another challenge (Raster Math)
Reality Check: Post-game Analysis, Next Step = Sea-level Rise?
Case Study 3: Flood Modeling Problem: How do we know what areas will flood during any specific storm?
Case Study: Flood Modeling, Irene/Sandy NWS most likely scenario at the time of Sandy s impact on Hampton Roads: Category: 1 Direction: North bearing, parallel to coast, turning NW over DELAWARE/New Jersey Speed: 14 mph currently Tide: The storm was be positioned offshore of VA/NC during two tidal cycles. Tides were affected by the full moon which occurred on Oct 29/30. High tide was approx. 1-2ft > normal. Rainfall: 4-6 inches may be expected Mon 9:24 AM Mon 9:43 PM
Flood Modeling: Cones of Uncertainty (confusion?)
Flood Modeling: Elevation is the key
Guest Interpretive/Tour Map
Flood Modeling: 2D paper maps often fall short of providing actionable information
Flood Modeling: Mapping and analysis
Clear & actionable information Building Rogers East Annex Ctr. for Quantitative Fisheries Ecology Dragas Hall Facilities Management Max Predicted Water Depth at base 4 ft 3 ft 2 ft 2 ft
Flood Modeling: Visualization for threat impacts communication
Flood Modeling: Visualization
Flood Modeling: Enhanced Visualizations
FREE GIS Tools ArcGIS Online
FREE GIS Tools Google Earth, Earth Engine, Maps Engine
Foundation of 3-D Visualizations
Integrated terrain & infrastructure models
FREE GIS Tools ArcGIS Explorer Desktop
FREE GIS Tools ArcGIS App for iphone/ipad and Android
FREE GIS Tools QGIS Free Robust GIS Desktop
George McLeod Lead Geospatial & Visualization Engineer gmcleod@odu.edu Question & Comments