GIS and Data Visualization The Critical Importance of Location, Analysis, and Communication HPC Day October 15, 2014

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1 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

2 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.

3 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

4 Databases are what makes GIS different from paper maps Attributes of La Crosse Land Parcels

5 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.

6 Campus Map: Pre-GIS

7 Campus Map: Using GIS

8 Case Study 1: Lighting Analysis PROBLEM: Public Safety & limited understanding of true campus lighting conditions

9 Lighting Analysis: Modeling the light field

10 Lighting Analysis: Analyzing Variance from the optimal light performance

11 Lighting Analysis: Visualizing light conditions compared to acceptable levels

12 Lighting Analysis: Landscape Impacts

13 Lighting Analysis: Possible 3D Visualizations

14 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

15 Case Study: Reality Check Participants allocate population, jobs, transportation improvements, and preservation areas based on group consensus

16 Reality Check: GIS Analysis

17 Reality Check: Post-game Analysis Numerical change (counts) vs. Percent Change

18 Reality Check: Post-game Analysis Transportation Averaging is more challenging

19 Reality Check: Post-game Analysis Green Space Averaging is another challenge (Raster Math)

20 Reality Check: Post-game Analysis, Next Step = Sea-level Rise?

21 Case Study 3: Flood Modeling Problem: How do we know what areas will flood during any specific storm?

22 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

23 Flood Modeling: Cones of Uncertainty (confusion?)

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26 Flood Modeling: Elevation is the key

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29 Guest Interpretive/Tour Map

30 Flood Modeling: 2D paper maps often fall short of providing actionable information

31 Flood Modeling: Mapping and analysis

32 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

33 Flood Modeling: Visualization for threat impacts communication

34 Flood Modeling: Visualization

35 Flood Modeling: Enhanced Visualizations

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38 FREE GIS Tools ArcGIS Online

39 FREE GIS Tools Google Earth, Earth Engine, Maps Engine

40 Foundation of 3-D Visualizations

41 Integrated terrain & infrastructure models

42 FREE GIS Tools ArcGIS Explorer Desktop

43 FREE GIS Tools ArcGIS App for iphone/ipad and Android

44 FREE GIS Tools QGIS Free Robust GIS Desktop

45 George McLeod Lead Geospatial & Visualization Engineer Question & Comments