Invited Speakers

 

               i.      Dixon, B and J. Earls. 2009. Integration of GIS for Infrastructure Management and Risk Analysis. (Florida Planning and Zoning Association - FPZA): Workshop on Urban Places/Rural Spaces: Planning For Tomorrow. Tampa, June 10 – 13.

             ii.      Dixon, B and J. Earls. 2008. Tutorial session: Introduction to Using the Soil Water Assessment Tool Model Integrated with ArcGIS 9 with Demonstration. IASTED (International Conference on Applied Simulation and Modeling). Corfu, Greece, June 23rd – 25th

            iii.      Dixon, B. 2007.  Fractal Dimension Analysis of Wetlands: a joint venture between applied mathematics and theoretical physics. Applied Mathematics Summer Workshop hosted by Applied Mathematics Research Center, sponsored by Department of Defense. August 24th – 26th. Dover, Delaware.

           iv.      Dixon, B. 2007. Examination of the spatial relationship of soils, landuse and slopes to florescence data in selected watersheds: An integrated analysis with GIS. Charlotte Harbor National Estuary Program. May 28 – 30th, Ft. Meyers, FL

             v.      Dixon, B. 2006. Sensing Flow and Water Quality. Presented at SWFWMD Workshop, Jan 26th 2006, Brooksville, FL

           vi.      Gore, J. Dixon, B, and A. Casper. 2006. Assessing Florida's large rivers: GIS-based data-mining and the impacts of the Atlantic Multi-decadal Oscillation. Great River Ecosystems Reference Condition Workshop, January 10-11, 2006, Cincinnati, OH.

          vii.      Dixon, B. 2006. GIS application for Ground Water. Presented at the workshop hosted by American Ground Water Trust. June, 2006, Arcadia, FL. Sponsored by USGS and American Ground Water Trust.

        viii.      Dixon, B.  2005. Sensing the Flow and Water Quality: How remote sensing and GIS can facilitate spatio-temporal modeling of interactions among hydrology, pollutant loading and habitat.  Seeing the Big Picture Symposium, Sarasota, FL. Sponsored by Mote Marine Aquarium &  Laboratory and EDC Sarasota County. September 15-16.

           ix.      Dixon, B. and Earls, J. 2005.  Mapping and Modeling: GIS and Remote Sensing Data Integration Issues.  Suwannee River Basin and Estuary Initiative Second Annual Integrated Science Workshop Folkston, GA, June 28-29, 2005. Sponsored by USGS.

 

Presentations at professional meetings

 

  1. Williams, N., B. Dixon and A. J. Pyrtle. 2009. Estimating Soil Loss From Two Coastal Watersheds in Puerto Rico with RUSLE. 15th International Interdisciplinary Conference on the Environment. Interdisciplinary Environmental Association. Daytona Beach, Florida.  July 8-11.
  2. Bradley F. and Dixon B. 2009. Examining the Relationship between RUSLE and In-Stream Water Quality Parameters: A Statistical Approach.15th International Interdisciplinary Conference on the Environment. Interdisciplinary Environmental Association. Daytona Beach, Florida.  July 8-11.
  3. Dixon, B. and Shannon Conley. 2009. Characterization of Soil Properties to Derive Pedo-Transfer Functions to Map Soil Moisture at a Regional Scale: A Comparative Study.  AWRA Spring Specialty Conference: Managing Water Resources and Development is a Changing Climate.  Paper in AWRA conference CD. May 4 – 6th Anchorage, Alaska.
  4. Dixon, B, Earls, J. A. F. Casper, J. A Gore. 2009. Integrating Spatially Explicit Watershed Models With In-Stream Habitat Models: A Discussion on Constraints With Regard to the Resolution of Data. AWRA Spring Specialty Conference: Managing Water Resources and Development is a Changing Climate. May 4 – 6th Anchorage, Alaska.
  5. Bradley, F[1]. and B. Dixon. 2009. Using GIS to Investigate Soil Physical Properties in Four South Florida Watersheds.  45th Annual FSG Meeting, St. Augustine, FL, Jan 23-25.
  6. Connelly, S2. and B. Dixon. 2009. Mapping Soil Moisture at a Regional Scale Using Integrated Remote Sensing, GIS, and Radar Precipitation: A Comparative Study. 45th Annual FSG Meeting, St. Augustine, FL, Jan 23-25.
  7. Bradley, F2. and B. Dixon. 2008. Investigating the Impacts of Soil Erosion and Sediment Yield on Water Quality.  USF 2008 Poster Symposium & Competition title Global Challenges for the 21st Century, Tampa, FL. Nov 6.
  8. Bradley, F., B. Dixon and D. Li.  2008. Investigating Groundwater Contamination Potential in Jinan, China Using GIS. Annual ESRI International User Conference. San Diego, CA. Aug 4-8
  9. Earls, J1 , B. Dixon and Karlin A. 2008. Using ERDAS Imagine to Derive Impervious Surfaces from High Resolution Aerial Photography and LiDAR.  Annual Meeting American Association of Geographers - Boston, MA, April 15-19.
  10. Earls, J1. and  B. Dixon. 2008.  The Influence of Resolution on the SWAT Model: Examining Neighboring Basins. Spring Specialty Conference GIS and Water Resources V.  San Mateo, CA, Mar 17-19. 
  11. Earls, J1. and B. Dixon. 2008. The Effects of Landuse and Soil Characteristics On Nutrient Loading Using the Soil & Water Assessment Tool (SWAT): A Comparative Study. Ocean Sciences Meeting, Orlando, FL, Mar 2-7, 2008.   
  12. Bradley, F2. and B. Dixon.  2008. Using RUSLE to Investigate the Watershed Source-Sink Relationship of CDOM. AAG Boston, MA, Apr 15-19.
  13. Bradley, F2., B. Dixon and J. Earls. 2008. Characterization of the Spatial Variability of Terrestrial Watershed Properties In Relation to In-Stream CDOM Distributions.  AWRA Spring Specialty Conference - GIS and Water Resources V, San Mateo, CA.  Mar 17-19.
  14. Earls, J1 and B. Dixon. 2007. Assessment of the Effect of Varying Input Soil Data To Predict Stream flow Using the SWAT Model. ASA-CSSA-SSA International Annual Meeting. New Orleans, LA, Nov 4-8.
  15. Earls, J1 and B. Dixon. 2007. Application of the Soil and Water Assessment Tool (SWAT) in modeling the effects of landuse change on watershed hydrology. 30th Applied Geography Conferences. Indianapolis, IN. Oct 17 – 20.
  16. Dixon, B.,  Stetson, R1. and Smith S. 2007. Examining Resolution Effects on the Prediction of the Revised Universal Soil Loss Vulnerability Equation (RUSLE-V). Florida Society of Geographers Annual Meeting, Jacksonville, FL.  February.
  17. Dixon, B,  Stetson, R1 and Smith  S. 2007. Creating a Soil Erosion Vulnerability Map at 3 Different Resolutions for the US Southeast” Florida Academy of Sciences Annual Meeting St.Petersburg, FL. March.
  18. Stetson, R1 and Dixon, B. 2007. Resolution Effects on the Prediction of RUSLE in 3 different phyisogeographic Regions of the US” American Association of Geographers Annual Meeting, San Francisco, CA. April.
  19. Earls J1 and Dixon B. 2007. Spatial Interpolation of Rainfall Data Using ArcGIS:  A Comparative Study”.  27th Annual ESRI International User Conference.  San Diego, June.
  20. Stetson, R1,  Dixon B., Candade, N7. 2007. A Comparison of Kriging Methods for Well Contaminates in the Tampa Bay Region of Florida. 27th Annual  ESRI International Users Conference, San Diego, CA. June.
  21. Earls, J1. and  Dixon, B. 2007. Evaluation of Drainage Basin Delineation:  ArcHydro & the Soil & Water Assessment Tool (SWAT).  Association of American Geographers Meeting,  San Francisco, CA, April.
  22. Earls, J1. and Dixon, B.2007.  Sensitivity Analysis of the SWAT Model to the Resolution of Input, Calibration and Validation of Data.  American Society of Photogrammetry and remote Sensing Annual Conference, Tampa, FL, May.
  23. Earls, J1. and Dixon, B., 2007 Effects of Input Resolution on Stream flow Predicted by the SWAT Model.  Presented at Florida Academy of Sciences Annual Meeting, St. Petersburg, FL, Mar.
  24. Earls, J1. and Dixon, B., 2007. Evaluation of the Sensitivity of Fractal Dimension Analysis for Classification of Natural vs. Artificial Wetlands.  Presented at Florida Society of Geographers Annual Meeting, Jacksonville, FL, February.
  25. Johns R, Dixon, B, Dennison, D1 and Stetson, R1. 2007. Space-Time Convergence in the Creation of Opportunities for Violent Crime against Children in Pinellas and Hillsborough Counties, Florida: minimizing access through public policy. Florida Society of Geographers Annual Meeting, Jacksonville, FL, February.
  26. Earls, J1., Dixon, B. & Prieto, M1. 2006. Sensitivity of Fractal Dimension Analysis to Resolution of Input Data for Classification of Natural vs. Artificial Wetlands.  Presented at the 29th Annual Applied Geography Conference, Tampa, FL, Oct.
  27. Earls1 J and Dixon, B and Holmes, M. 2006. An Evaluation of the SWAT Model Sensitivity and autocorrealtion to Regression Analyis of Flow Data for Charlie Creek, Central FL. 29th Applied Geography Conference, Tampa FL. Oct 11 – 14.
  28. Earls1, J and Dixon, B. 2006. A comparison of Model-Predicted Evapotranspiration by the SWAT Model with real and Modeled Meteorology. 18th Wo0rld Congress of Soil Scince, Philadelphia, PA. July 10th – July 14th.
  29. Earls1, J and Dixon, B. 2006.  The Influence of Resolution on the SWAT Model: Examining Neighboring Basins.  Spring Specialty Conference GIS and Water Resources IV. Houston, TX, May 8-10.
  30. Earls1, J and Dixon, B. 2006. Comparison of annual calibration of SWAT model at differing resolutions. Adaptive Management of Water Resources, AWRA Summer Specialty Conference MT, June 26-28.
  31. Dixon, B., Candade, N. and Julie Earls. 2006. Development of an integrated methodology to assess vulnerability of ground water to pathogen intrusion using GIS, remote sensing, neural networks and neuro-fuzzy methods. American Association of Geographers, Annual Meeting, Chicago, IL, March.
  32. Earls, J. andDixon, B. 2006. Utilizing SWAT to Model Spatio-Temporal Influences on River Basins At Differing Resolutions Annual Meeting Association of American Geographers, Chicago, IL Mar 7-10.
  33. Earls, J., Candade, N. and Dixon, B. 2006. A Comparative Study of Landsat 5 TM Landuse Classification Methods including Unsupervised Classification, Neural Network and Support Vector Machine for Use in a Simple Hydrologic Budget Model. ASPRS Annual Conference - Prospecting for Geospatial Information Integration – Reno, NV - May 1-5
  34. Dixon, B., R. Stetson and J. Earls. 2005. Examining Spatio-temporal relationships of landuse change, population growth, and water quality in Tampa Bay area. Applied Geography Conference. Washington D.C. November.Abstract, Presentation, Paper
  35. Dixon, B. and Candade C. 2005. Integrated GIS and machine learning algorithms applied to ground water contamination mapping: a comparative study. Applied Geography Conference. Washington D.C. November.Abstract, Presentation, Paper
  36. Earls, J and Dixon, B. 2005. Using landsat 5 TM to determine landuse classification for representing seasonal ET from 2 unique Drainage Basins in a hydrologic budget. Applied Geography Conference. Washington D.C. November. Abstract , Paper
  37. Earls, J. and Dixon, B. 2005. SWAT:  How Much Does Resolution of Soils Matter When Comparing Real vs. Simulated Meteorological Data? Soil Science Society of America Annual Meeting. Salt Lake City.  November. Poster. Abstract , Presentation
  38. Dixon, B and Candade, N. 2005. Can Logistic Regression and/or Feature Selection Methods Be Used to Predict Contaminated Wells? a Case Study of Polk County, Florida. Soil Science Society of America Annual Meeting. Salt Lake City.  November. Poster
  39. Dixon, B. and Candade N. 2005. Groundwater Contamination Mapping Using Integrated GIS and Neural Networks: A Sensitivity Analysis. Presentation. International Conference on Environmental Science and Technology. January, New Orleans. Abstract
  40. Candade, N. and B. Dixon. 2005. Effects of Training Sizes and Dimensionality on NN and SVM Performance: A Comparative Study. American Association of Geographers, Annual Meeting, Denver, CO, April. Abstract
  41. Stetson R, Dixon, B. and Candade, N. 2005. Comparison of various krigging methods for contaminated wells in Tampa Bay region FL, Poster. Florida Society of Geographers, Annual meeting. Orlando, Feb. 2005. Abstract, Poster
  42. Dixon, B, Scott, H.D and A. M. Mauromoustakos. 2004. A GIS-based comparison of neural networks and neuro-fuzzy models to predict ground water vulnerability.  Poster. Seattle. November 2004. Abstract
  43. Dixon, B. 2004. Can integrated ground water vulnerability mapping tool facilitate sensitivity analysis in a spatial domain? Presentation. International Conference on Geo Environment. Spain, July 2004.Paper, Abstract
  44. Dixon, B. 2005. Does Resolution Matter? A comparative Assessment of Physically-based SWAT Model. Presentation. 4th International Conference in Risk Analysis and Hazard Mitigation. Greece, September,  2004. Abstract
  45. Dixon, B. 2004. A comparison of fuzzy logic and neuro-fuzzy based methodologies to predict ground water contamination potential. Presentation. American Association of Geographers, Annual Meeting, Philadelphia, PA, March 14th – 19th.
  46. Candade2, N  and Dixon, B. 2004. Application of GIS-based neural networks to predict ground water contamination potential. Poster. American Association of Geographers, Annual Meeting, Philadelphia, PA, March 14th – 19th
  47. Dixon, B. 2004. Ground Water Vulnerability Mapping Tool:  NN and fuzzy logic: one, the other, or both??  Presentation. AWRA's 2004 Spring Specialty Conference Geographic Information Systems (GIS) and Water Resources III Water. Nashville, May 2004.
  48. Candade N and Dixon, B. 2004. Comparison of Neural Network and Neuro-fuzzy Techniques in Ground Water Vulnerability Mapping: A Case Study. Poster. AWRA's 2004 Spring Specialty Conference Geographic Information Systems (GIS) and Water Resources III Water. Nashville, May 2004. Abstract, Paper
  49. Candade 2, N and Dixon, B. 2004. Multispectral classification of Landsat images: Comparison of Support Vector Machine and Neural Network classifiers. Presentation.  ASPRS Annual Meeting. Denver, May 2004. Abstract, Paper
  50. Candade 2, N. and Dixon, B. 2004.  Supervised classification of spectrally enhanced Landsat TM data of Joshua Creek Watershed, Florida. Presentation. Annual meeting of Florida Society of Geographers,2004, Pensacola Beach, FL. February 6th  – 8th .
  51. Candade, N and Dixon, B. 2004. Integrated Vulnerability Assessment of Ground Water for Hillsborough County, Florida: A Case Study. AWRA Annual Conference, Orlando, November. Abstract
  52. Dixon, B. 2003. Assessing Transferability of a GIS-Based Neuro-fuzzy Model to Predict Ground Water Contamination Potential. Presentation. American Association of Geographers, Annual Meeting, New Orleans, LA, March. Abstract
  53. Dixon, B. 2003. A comparison of fuzzy logic and neuro-fuzzy based methodologies to predict groundwater vulnerability. Presentation. Soil Science Society of America Annual Meeting, Denver, CO, Nov 2 – 5th
  54. Dixon,  B. 2003. Can contamination potential of ground water to pesticides be identified from hydrogeological parameters? Presentation.  26th Applied Geography Conference. Colorado Springs, CO, November 5th – 8th. Presentation , Paper
  55. Bailey,2 A. N. and Dixon, B. 2003. A Methodology to Estimate Soil Moisture Content from WSR-88D Data.  Presentation. American Association of Geographers, Annual Meeting, New Orleans, LA, March.
  56. Streubert, M. and Dixon, B. 2003. Effects of varying resolution in the assessment of SWAT modeling. Florida Society of Geographers, Boca Raton, FL, February 6th  – 8th 
  57. Dixon, B. 2002. Can ground water sampling strategy be improved by incorporating fuzzy logic in a GIS? Presentation. 25th Annual Applied Geography Conference. Binghamton, NY, October. Abstract, Paper , Presentation
  58. Dixon, B and H. D. Scott. 2002. Determining appropriate size of the training data sets for Neuro-fuzzy models to predict ground water vulnerability in Northwest Arkansas. Presentation. Southern Branch, American Society of Soil and Water, Annual Meeting, Orlando, FL, February. Abstract, Presentation
  59. Dixon, B., H. D. Scott and J. V. Brahana. 2002. Application of Neuro-Fuzzy techniques to predict ground water vulnerability. Presentation. Third International Conference on computer Simulation in Risk Analysis and Hazard Mitigation, Sintra, Portugal, June. Abstract, Paper, Abstract, Presentation
  60. Dixon, B., H. D. Scott, J. V. Brahana, A. Mauromoustakos, and J. C. Dixon. 2001. Delineation of ground water vulnerability to agricultural contaminants using Neuro-fuzzy techniques. Presentation. Annual Meeting of Soil Science Society of America, Charlotte, NC, October. Presentation
  61. Dixon, B., T. H. Udouj, and H. D. Scott. 2000. Examination of Spatial variability of parameters affecting contamination of ground water in Arkansas Delta. Presentation. Southern Regional Geological Society of America Meeting . Fayetteville, AR. April.
  62. Dixon, B., T. H. Udouj, H. D. Scott, A. Mauromoustakos, T. Kresse and F. Limp. 1999. Analyses of the Spatial Variability of Bentazon Contamination of Wells in the Arkansas Delta Presentation. Arkansas GIS Users Forum. Eureka Springs, AR. September.
  63. Dixon, B., H. D. Scott, T. Kresse, K. F. Steele, and W.F. Limp. 1999. Comparison of the Spatial Variability of Pesticide Contamination of Wells in the Arkansas Delta. Presentation. Annual Meeting Program of Soil Science Society of America. Salt Lake City, Utah October-November.
  64. Dixon, B, H. D. Scott, H. S. Lin, K. F. Steel and J. C. Dixon. 1998. Comparison of modified DRASTIC and fuzzy-logic predictive models in ground water contamination. Presentation. Annual Meeting Program of Soil Science Society of America , Baltimore. October.
  65. Udouj, T.H., Dixon, B. and H. D. Scott. 1998. Application of GIS and RS techniques to the analysis of Spatial and Temporal Changes in the Buffalo River Watershed. Presentation. American Society of Soil and Water, Southern Regional  Meeting, Little Rock, AR. February.
  66. J. V. Skinner Jr., B. Mitra and H. D. Scott. 1997. Use of Fuzzy Logic to Predict Soil Productivity and Crop Yield. Presentation. Annual Meeting Program of Soil Science Society of America. Anahiem CA. October. 
  67. Mitra, B. and T. H. Udouj. 1997. Applications of GIS in natural resource management: primary and secondary attributes of soils, Lonoke and Prairie Counties. Presentation. Arkansas GIS Users Forum. Hot Springs, AR. September.

 

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