1. Logo Amy Jagge, Project Manager, GIS Analyst Steven Ferguson, Assistant Manager, GIS Analyst Blake Durant, GIS Analyst, GPS Tech Jacob Waterman, GIS Analyst, GPS Tech 1

2. Geodatabase Design and Mapping of the Gary Softball Complex Prepared for: Source: http://www.ci.san-marcos.tx.us 2

3. Summary Gary Sports Complex is a softball complex consisting of eight softball fields split into two 4 field sections The City of San Marcos would like to create an inventory of the features within the complex using GPS and GIS technology Source: http://tiny.cc/9xix6x 3

4. Purpose 4 Create a comprehensive geodatabase of the softball complex to assist with asset management, facility improvements, and park maintenance Model the amenities and utility features of the Gary Sports Complex Provide a detailed methodology of the steps we took to create and merge the geodatabases

5. Scope 5

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7. Bases Infield Boundaries Landscaping Dugouts Bullpins Awnings Parking Lots Scoreboards Data Dictionary Sprinkler heads Valve boxes Lighting Waste Disposal Playground Impervious Cover Electrical Boxes Field Boundaries Foulpoles Data 7

8. Provided Data Georeferenced orthographic aerial image of the study area (.TIFF image) CAD file containing spatially referenced line and polygon data A small selection of dizitized building data including dugouts and awnings Data 8

9. Collected Data Point data collected with Trimble XT GPS unit Raw GPS data (.SSF) Corrected GPS data (.COR) Points accurate within 1 meter Polygon data digitized in ArcMap with orthographic.TIFF image Data 9

10. Methodology 10

11. Methodology Created a data dictionary in Pathfinder → transferred into Trimble XT GPS unit Recorded point data at Gary Sports Complex Collected point data within a range of 30-180 positions per feature Georeferenced the provided orthographic (.TIFF) image with our collected GPS data 11

12. Used the image to digitize field borders, impervious cover and other polygon features Point and polygon data was then organized into a geodatabase containing all of the spatial and attribute data for the park features The GSC geodatabase was then merged with the 5 Mile Dam soccer complex geodatabase Created 3 models representing irrigation, utilities and amenities and cover perviousness Methodology 12

13. Discussion and Results Obstacles Time– Started collecting point data at 180 positions per feature After multiple visits to the park we decided to cut back on positions– eventually settling on 30 positions, greatly reducing collection time Data Inaccuracy–.TIFF image did not initially line up with point data– had to georeference the image over our point features to line them up 13

14. Discussion and Results Obstacles Weather Cloud cover obstructed satellite signals and precipitation prevented data collection Obstructing Features Fences, man made cover, and trees obstructed satellite signal– Distance- Bearing and Distance-Distance offsets were used to collect points covered by obstructing features Hidden Features (Sprinkler heads) Relied on park maintenance to run irrigation system 14

15. Discussion and Results Results A geodatabase including spatial and attribute information of both the Gary Sports Complex and 5 Mile Dam Soccer Complex 3 models representing spatial features throughout the park Detailed and easily replicated methodology on how to create a geodatabase using GIS and a GPS device 15

16. 16 Successfully provided geodatabase, merged geodatabase, and visualization of all features within Gary Sports Complex Learned importance of efficient coordination with park staff, and unpredictability of weather Geodatabase can be further combined with future park inventories for more efficient management Conclusion