1. Dr. Roberto Flores Physics, Computer Science & Engineering Christopher Newport University Newport News, Virginia USA

2.  GK12 Education Spatial Thinking  GIS Prototype Web-based GIS application  What’s Next? University of Calgary - September 13, 2011 2

3.  NSF Committee astronomy, education, geography, geosciences & psychology  “Learning to Think Spatially” (2006) http://www.nap.edu/openbook.php?isbn=0309092086  Spatial Thinking Form of thinking involving:  Spatial Data  Tools of Representation  Processes of Reasoning University of Calgary - September 13, 2011 3

4.  NSF Committee astronomy, education, geography, geosciences & psychology  “Learning to Think Spatially” (2006) http://www.nap.edu/openbook.php?isbn=0309092086  Spatial Thinking Form of thinking involving:  Spatial Data  Tools of Representation  Processes of Reasoning University of Calgary - September 13, 2011 4 Attributes: location, dimension, continuity, … Relationships: separation, clustering, overlapping, … Temporal properties: static | dynamic Attributes: location, dimension, continuity, … Relationships: separation, clustering, overlapping, … Temporal properties: static | dynamic

5.  NSF Committee astronomy, education, geography, geosciences & psychology  “Learning to Think Spatially” (2006) http://www.nap.edu/openbook.php?isbn=0309092086  Spatial Thinking Form of thinking involving:  Spatial Data  Tools of Representation  Processes of Reasoning University of Calgary - September 13, 2011 5 to visualize… to manipulate… spatial geographical data to visualize… to manipulate… spatial geographical data

6.  GIS is a major technology but… …it is not for novice users  Like teachers …it demands high-end hardware  Unlikely to be found in GK12 schools  Wish List University of Calgary - September 13, 2011 6

7.  Data GPS location Nutrients  Nitrite (NO 2 ), Nitrate (NO 3 ), Ammonia & pH Macro-Invertebrates  Some species more/less resistant to pollutants Sediments  Turbidity blocks sunlight University of Calgary - September 13, 2011 7 http://gk12.cnu.edu/

8.  Client/Server Server hosts GIS software & data. Clients use interface to add & access data. NN School CNU University of Calgary - September 13, 2011 8 Clients Web browser & Adobe Flash Clients Web browser & Adobe Flash Server ArcGIS Server ArcGIS

9.  Data University of Calgary - September 13, 2011 Site TeacherStudentSchool SedimentNutrientMacro Invertebrate GPS point name name/initials name, extent name, latitude, longitude NO 2,NO 3,pH,ammonia,date biotic index, date value, date deployed, date collected 1 1+ * 1 1 * 1 *** 9

10.  Main Screen All users Login View Data University of Calgary - September 13, 2011 10

11.  Editing data Guest / Student / Teacher Login University of Calgary - September 13, 2011 11

12.  Editing data Main Screen (Teacher) Add One-day Pass View Verify University of Calgary - September 13, 2011 12

13.  Adding data Site Sediments Bugs Nutrients GPS Points Site University of Calgary - September 13, 2011 13

14.  Adding data GPS point Sediments Bugs Nutrients GPS Points Site University of Calgary - September 13, 2011 14

15.  Adding data Nutrients Sediments Bugs Nutrients GPS Points Site University of Calgary - September 13, 2011 15

16.  WISE Prototype Short-term: Exploring feasibility & functionality  NSF Goal Long-term: Educators need a GIS app builder University of Calgary - September 13, 2011 16

17. What do we mean by…  Component-based Building-block functionality Scalable & Robust  Customizable User-defined composition  Collaborative Distributed system:  Multiple locations  Multiple participants (+privileges)  Multiple devices  Simple GUI Intuitive to use by novices (builders + users) Easy to deploy & maintain (using limited resources) University of Calgary - September 13, 2011 17

18.  Geographic Information System Software able to store, manipulate & display geographically referenced information (data identified by a location) University of Calgary - September 13, 2011 18 APPENDIX

19.  Data Properties Location Attributes Spatial relationships  Data Models Vector: Point, Line, Polygon (area) Raster: pixel pictures (satellite images)  Projections Mercator, et al. (be consistent)  Query & Analyzing Pulling information from a GIS Overlaying & Buffering University of Calgary - September 13, 2011 19 For more: Google: GIS tutorial For more: Google: GIS tutorial APPENDIX