1. GUS: 0262 Fundamentals of GIS Lecture Presentation 8: Data Input and Editing Jeremy Mennis Department of Geography and Urban Studies Temple University

2. Raster Data Input 1.Vector to Raster Conversion 2.Scanned Graphics 3.Classified Remotely Sensed Imagery 4.Interpolation from Point Data

3. Raster to Vector Conversion

4. Scanned Graphics

5. Classified RS Imagery

6. Interpolation from Point Data 7 5 8 7 9 12 10 15 11 9 12 5 5 6 7 7 8 9 5 5 7 8 8 8 9 6 7 8 9 10 9 8 9 9 11 8 9 12 13 11 13 7 8 10 13 15 12 14 7 8 10 11 14 12 13

7. Vector Data Input 1.Raster to Vector Conversion 2.Scanned Graphics (Scan Digitizing) 3.Data Collection from the Field 4.Manual Vector Digitizing

8. Scanned Graphics (Scan Digitizing) 1.Drum scanner scans in map image 2.Specialized software ‘extracts’ point, line, and area features 3.Very expensive and susceptible to errors when map is ‘dirty’

9. Field Data Collection

11. Manual Vector Digitizing Tablet

12. Manual Vector Digitizing Puck

13. Manual Vector Digitizing

14. 1.Prepare map sheet 2.Digitize the coverage 3.Identify and correct digitizing errors 4.Build topology 5.Identify and correct topology errors 6.Assign attributes 7.Identify and correct attribute errors Manual Vector Digitizing Process

15. Manual Vector Digitizing Preparation

16. 1.Map quality? 2.Separations? 3.Folds and wrinkles in the map? 4.Transfer to mylar ? Manual Vector Digitizing Preparation

17. Manual Vector Digitizing Registration

18. Manual Vector Digitizing Process 1.Fuzzy tolerance. 2.Try to capture the necessary accuracy with minimum number of data points.

19. Vector Data Editing Vector digitizing errors 1.entity error (positional error) 2.attribute error 3.entity-attribute error

20. Undershoots/Overshoots

21. Weird Polygons Missing node

22. Pseudonodes pseudonode

23. Polygon Label Errors

24. Sliver Polygons

25. Edge Matching