1. GIS 1 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University GIS Lecture 10 Extensions

2. GIS 2 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Outline Extensions Overview Free Add On Applications Network Analyst Spatial Analyst 3D Analyst Community Visualization tools TerraSim Keyhole Extensions Review

3. GIS 3 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University ArcGIS Extensions http://www.esri.com/software/arcgis/arcgisxtensions/ The following ArcGIS Extension products add specialized tools and functionality to ArcView, ArcEditor and ArcInfo. 3D Analyst Business Analyst Geostatistical Analyst Military Analyst Publisher Schematics Spatial Analyst StreetMap Survey Analyst Tracking Analyst ArcPress ArcScan Job Tracking MrSID Encoder

4. GIS 4 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Free ArcGIS Add-Ons ArcWeb Toolbar Tablet PC Support for ArcGIS ArcMap GPS Support Districting for ArcGIS

5. GIS 5 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Network Analyst Solves a variety of problems based on geographic networks including: Most efficient travel routes Travel directions Closest emergency vehicle or service facility to an incident Service areas or sales territories based on travel time

6. GIS 6 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Delivery Route - This path represents a delivery truck route. - With the Network Analyst, the dispatcher can define a route that with stop at each restaurant in the most efficient order and return to the warehouse.

7. GIS 7 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Shortest and Fastest Path -This path represents the shortest linear distance between the two locations. - This path represents the fastest path between the same two locations used in the previous example. - Fastest paths are based on time. You can use any measure of time ( seconds, minutes, hours, etc.)

8. GIS 8 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Service Areas - Overlapping and nested service areas are individual polygons. - This allows you to use ArcView's spatial analysis tools to determine which customers or how many customers are in each service area or if any customers are serviced by more than one site.

9. GIS 9 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Areas within a Distance This example shows which areas are within a 10 minute walking distance of different bus stops (service area and network) and which bus routes (find best route) are serviced by the stops.

10. GIS 10 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Spatial Analyst Grid based layers Geographic data to attempt to describe, simulate or predict a real-world problem or system Creates continuous surfaces from scattered point features Maps easy to read

11. GIS 11 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Grid Layers Divides geographic space into uniform blocks called cells - Every cell represents a certain specified portion of the earth, such as a square kilometer or square meter - Each cell is given a value that describes the site, such as elevation or landuse type

12. GIS 12 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Wild Fire Predictions Original wind direction grid. Using Spatial Analyst, add 90 degrees to each cell value in the first grid to generate a second wind direction grid.

13. GIS 13 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Wild Fire Predictions

14. GIS 14 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Soil Information Farmers can determine the soil pH values

15. GIS 15 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Hydrology Maps Flow direction grid from an elevation grid Hypothetical spill points, shown by white dots, on the elevation grid. Spatial Analyst uses the flow direction and elevation values to compute the contaminant's probable downhill path.

16. GIS 16 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University 3D Analyst

17. GIS 17 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University 3D Analyst Overview 3D Analyst Extension - Surfaces - Grids - TINS - 3D Shapefiles - 3D Scenes - Examples

18. GIS 18 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Surface Model A geographic surface, or surface model, represents a spatial quantity or phenomenon that can be measured continuously over some part of the earth Terrain Elevations DEM - Digital Elevation Model DTM - Digital Terrain Model

19. GIS 19 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Other Surface Examples Geographic phenomena - Soil type - Land cover - Temperature - Rainfall - Population density

20. GIS 20 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Surface Model (Elevations) Sample elevation points that can be used to generate a surface model. A set of sample elevation points. Each point has x,y values and a z value, which defines its elevation.

21. GIS 21 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Surface Model (Elevations) A surface model generated from the points and displayed in 3D perspective.

22. GIS 22 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Grids A grid defines geographic space as a matrix of identically-sized square cells. Each cell holds a numeric value that measures a geographic attribute (like elevation) for that unit of space. When the grid is drawn as a map, cells are assigned colors according to their numeric values.

23. GIS 23 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Grids A grid divides geographic space into cells of equal size. Each cell stores a number that measures a geographic value at that location. In this case, the numbers reflect elevation in meters.

24. GIS 24 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Grids An elevation grid drawn in a view. The cell values are classified by numeric range and symbolized with different colors.

25. GIS 25 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Grid Example Proposed shopping center plan displayed on a graded elevation surface

26. GIS 26 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University TIN (Triangulated Irregular Network) A TIN is a data structure that defines geographic space as a set of contiguous, non- overlapping triangles, which vary in size and angular proportion.

27. GIS 27 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University TIN Structure Defined by two elements: a set of input points with x,y, and z values, and a series of edges connecting these points to form triangles. Each input point becomes the node of a triangle in the TIN structure, and the output is a continuous faceted surface of triangles.

28. GIS 28 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University TIN The TIN structure, showing nodes (sample elevation points) and the triangles generated from them.

29. GIS 29 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University TIN Example Santa Barbara elevation surface

30. GIS 30 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University 3D Shapefiles Displays discrete geographic features Buildings Rivers Wells Roads in 3D

31. GIS 31 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University 3D Shapefiles Attributes of a 2D shapefile Attributes of a 3D shapefile

32. GIS 32 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University 3D Contours Mt. Saint Helens Start with a 2D Contour Map

33. GIS 33 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University 3D Contours Surface layer created

34. GIS 34 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Dynamic 3D Views Perspective angle in 3D Scene set at 60°

35. GIS 35 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Loading Extensions (3D Analyst) Tools, Extensions… Choose the 3D Analyst Extension

36. GIS 36 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University 3D Scenes A 3D scene is a three-dimensional viewing environment for spatial data.

37. GIS 37 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Draping features to a 3D Model Raster Images Vector Features

38. GIS 38 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Extruding Features Based on 3D field Buildings extruded from height or number of floors

39. GIS 39 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Navigating Scenes Set Observers and Targets Flythrough

40. GIS 40 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University ArcGlobe Fast Viewing of Large 3D Datasets

41. GIS 41 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Other 3D Examples Analyzing Visibility Locations from which observers can see Red part of the line is a gap in the line of sight

42. GIS 42 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Other 3D Examples Steepest-path analysis Flow of liquid from a certain point

43. GIS 43 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Other 3D Examples 3D Representation of Land Value Totals by Tax Map Grid, Concord, North Carolina, USA

44. GIS 44 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Other 3D Examples North Macadam Development Concept— Floor Area Ratio Massing Study, City of Portland Bureau of Planning Results of the massing model were used to generate a series of three- dimensional perspectives from adjacent neighborhoods and scenic points to help illustrate what the district's build-out form could look like. In addition, a regional elevation model was used to assess the impact of development on the visibility of important landscape features. This information was used to help the city, property owners, and the public understand what would be allowed under the proposed plan.

45. GIS 45 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Advanced Visualization Tools - Helps view, project, analyze, and understand potential alternatives and impacts via visual exploration and alternative scenarios - Experiments with hypothetical scenarios, challenge assumptions on the fly - Encourages participation and collaboration by engaging users and public audiences via visualization and interactive participation.

46. GIS 46 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Community VIZ Community VIZ http://www.communityviz.comhttp://www.communityviz.com

47. GIS 47 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Criterion Planners INDEX http://www.crit.comhttp://www.crit.com

48. GIS 48 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University TerraSim, Inc. CMU Spin-off TerraTools - 3D GIS Visualization Software http://www.terrasim.com/ One Gateway Center, Suite 2050 420 Fort Duquesne Blvd. Pittsburgh, PA 15222 (412) 232-3646 (412) 232-3649 FAX

49. GIS 49 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Schenley Park

50. GIS 50 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Parametric Bridge Models

51. GIS 51 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University CMU Campus

52. GIS 52 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Urban Clutter

53. GIS 53 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Placement Models

54. GIS 54 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Keyhole http://www.keyhole.com

55. GIS 55 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Keyhole

56. GIS 56 Copyright 2005 – Kristen S. Kurland, Carnegie Mellon University Extension Review Free or paid for add on extensions 3 rd Party GIS applications Reference Manuals Available at \\thunderbolt.heinz.cmu.edu\lobby\gis\ArcGIS 9 Docs