1. GIS Data Capture: Getting the Map into the Computer some background and extra material in Chapter 9, Longley et al

2. Overview Introduction Primary data capture Secondary data capture Data transfer Capturing attribute data Managing a data capture project Error and accuracy

3. Data Collection Can be most expensive GIS activity Many diverse sources Two broad types of collection Data capture (direct collection) Data transfer Two broad capture methods Primary (direct measurement) Secondary (indirect derivation)

4. Data Collection Techniques Field/RasterObject/Vector Primary Digital remote sensing images GPS measurements including VGI Digital aerial photographs Survey measurements Secondary Scanned mapsTopographic surveys DEMs from mapsToponymy data sets from atlases

5. Haiti Earthquake Disaster Web Site of the Week

6. Stages in Data Collection Projects PlanningPreparation Collection / Transfer Editing / Improvement Evaluation

7. Primary Data Capture Capture specifically for GIS use Raster – remote sensing e.g., SPOT and IKONOS satellites and aerial photography, echosounding at sea Passive and active sensors Resolution is key consideration Spatial Spectral, Acoustic Temporal

9. Vector Primary Data Capture Surveying Locations of objects determines by angle and distance measurements from known locations Uses expensive field equipment and crews Most accurate method for large scale, small areas GPS Collection of satellites used to fix actual locations on Earth’s surface Differential GPS used to improve accuracy

10. Total Station

11. GPS “Handhelds” geographic coordinates text photos audio video Bluetooth, WiFi

12. cell towers +/- 500 m Google db of tower locations Graphic courtesy of Wired, Feb. 2009 Wi-Fi +/- 30 m Skyhook servers and db GPS +/- 10 m iPhone uses reference network

13. “Power to the People:”VGI & PPGIS “Volunteered Geographic Information” Wikimapia.org Openstreetmap.org “Public Participation GIS” GEO 599, Fall 2007 Papers still online at dusk.geo.orst.edu/virtual/

14. Example: A Boon for International Development Agencies Robert Soden, www.developmentseed.org Kinshasa, Democratic Republic of Congo

15. International Development, Humanitarian Relief Robert Soden, www.developmentseed.org Mogadishu, Somalia

16. Haiti Disaster, MapAction.org

17. UCLA Center for Embedded Networked Sensing, http://peir.cens.ucla.edu “Citizen Sensors”

18. Societal Issues (privacy, surveillance, ethics) e.g., Google StreetView Google Maps Mania Blog Early and late May 2008

19. More surveillance (electronic, video, biological, chemical) integrated into national system From Chris Peterson, Foresight Institute As presented at OSCON 2008, Portland

20. Graphic: Gina Miller From Chris Peterson, Foresight Institute As presented at OSCON 2008, Portland

21. Sewer monitoring has begun “The test doesn’t screen people directly but instead seeks out evidence of illicit drug abuse in drug residues and metabolites excreted in urine and flushed toward municipal sewage treatment plants.” From Chris Peterson, Foresight Institute As presented at OSCON 2008, Portland

22. Secondary Geographic Data Capture Data collected for other purposes, then converted for use in GIS Raster conversion Scanning of maps, aerial photographs, documents, etc. Important scanning parameters are spatial and spectral (bit depth) resolution

23. Scanner

24. Vector Secondary Data Capture Collection of vector objects from maps, photographs, plans, etc. Photogrammetry – the science and technology of making measurements from photographs, etc. Digitizing Manual (table) Heads-up and vectorization

25. Digitizer

26. GEOCODING spatial information ---> digital form capturing the map (digitizing, scanning) sometimes also capturing the attributes “mapematical” calculation, e.g., address matching WSW

27. Managing Data Capture Projects Key principles Clear plan, adequate resources, appropriate funding, and sufficient time Fundamental tradeoff between Quality, speed and price Two strategies Incremental ‘Blitzkrieg’ (all at once) Alternative resource options In house Specialist external agency

28. The Role of Error Map and attribute data errors are the data producer's responsibility, GIS user must understand error. Accuracy and precision of map and attribute data in a GIS affect all other operations, especially when maps are compared across scales.

29. Accuracy closeness to TRUE values results, computations, or estimates compromise on “infinite complexity” generalization of the real world difficult to identify a TRUE value e.g., accuracy of a contour Does not exist in real world Compare to other sources

30. Accuracy (cont.) accuracy of the database = accuracy of the products computed from database e.g., accuracy of a slope, aspect, or watershed computed from a DEM

31. Positional Accuracy typical UTM coordinate pair might be: Easting 579124.349 m Northing 5194732.247 m If the database was digitized from a 1:24,000 map sheet, the last four digits in each coordinate (units, tenths, hundredths, thousandths) would be questionable

32. Map scaleGround distance corresponding to 0.5 mm map distance 1:125062.5 cm 1:25001.25 m 1:50002.5 m 1:10,0005 m 1:24,00012 m 1:50,00025 m 1:100,00050 m 1:250,000125 m 1:1,000,000500 m 1:10,000,0005 km A useful rule of thumb is that positions measured from maps are accurate to about 0.5 mm on the map. Multiplying this by the scale of the map gives the corresponding distance on the ground. Positional Accuracy

33. Testing Positional Accuracy Use an independent source of higher accuracy: find a larger scale map (cartographically speaking) use GPS Use internal evidence: digitized polygons that are unclosed, lines that overshoot or undershoot nodes, etc. are indications of inaccuracy sizes of gaps, overshoots, etc. may be a measure of positional accuracy

34. not the same as accuracy! repeatability vs. “truth” not closeness of results, but number of decimal places or significant digits in a measurement A GIS works at high precision, usually much higher than the accuracy of the data themselves Precision

35. Accuracy vs. Precision

37. Components of Data Quality positional accuracy attribute accuracy logical consistency completeness lineage

38. Midterm

39. Multiple choice on scantron/bring #2 pencil Major concepts moreso than details Reviewing LECTURES is key  PPT files background & extra in Chapters 1, 3-4, 9, 20 in Longley et al. Will not include Web Sites of the Week (WSWs) Labs Learning Assessment/Practice Questions on class web site