An overview of the 10th Southern Forestry and Natural Resource Management GIS Conference
Parole chiave:
Symposium Proceedings, SOFOR GIS, Geographic Information Systems, Spatial Information Technologies, mapping technologiesAbstract
With this brief summary, we provide an overview of the 10th Southern Forestry and Natural Resource Management GIS Conference (SOFOR GIS), and a Special Section of this journal related to it. The conference was held in Athens, Georgia (USA) on December 7-8, 2015 at the University of Georgia Center for Continuing Education. Several papers from this conference were submitted for the publication in the journal; and some are still undergoing peer review. We anticipate that future issues of Mathematical and Computational Forestry & Natural-Resource Sciences will include other papers from the conference, while this Special Section contains the first two articles of the collection that already have passed the peer review process.
Riferimenti bibliografici
Bettinger, P., and S. Fei. 2010. One year's experience with a recreation-grade GPS receiver. Mathematical and Computational Forestry & Natural-Resource Sciences. 2(2): 153-160. Retrieved from http://mcfns.com/index.php/Journal/article/view/MCFNS.2-153.
Bettinger, P., K. Merry, and C. Cieszewski. 2016. The importance of mapping technology knowledge and skills for students seeking entry-level forestry positions: Evidence from job advertisements. Mathematical and Computational Forestry & Natural-Resource Sciences. 8(1): 14--24. Available online at: http://mcfns.com/index.php/Journal/article/view/MCFNS.8.14/8.14.
Chapman, J., I. Hung, and J. Tippen. 2010. Evaluating TIFFS (Toolbox for LiDAR Data Filtering and Forest Studies) in deriving forest measurements from LiDAR Data. Mathematical and Computational Forestry & Natural-Resource Sciences. 2(2): 145-152. Retrieved from http://mcfns.com/index.php/Journal/article/view/MCFNS.2-145.
Kauffman, J., and S. Prisley. 2016. Automated estimation of forest stand age using Vegetation Change Tracker and machine learning. Mathematical and Computational Forestry & Natural-Resource Sciences. 8(1): 4--13. Available online at: http://mcfns.com/index.php/Journal/article/view/MCFNS.8.4/8.4.
Lipscomb, D., & Baldwin, R. 2010. Geoprocessing solutions developed while calculating the mean human footprint™ for federal and state protected areas at the continent scale. Mathematical and Computational Forestry & Natural-Resource Sciences 2(2): 138-144. Retrieved from http://mcfns.com/index.php/Journal/article/view/MCFNS.2-138.
Lowe, R., and C. Cieszewski. 2014. Multi-source K-nearest neighbor, mean balanced forest inventory of Georgia. Mathematical and Computational Forestry & Natural-Resource Sciences. 6(2): 65-79. Retrieved from http://mcfns.com/index.php/Journal/article/view/6_65/184.
Williams, T., B. Williams, and B. Song. 2014. Creation of GIS data requirements for FARSITE modeling of an historic wildfire. Mathematical and Computational Forestry & Natural-Resource Sciences. 6(2): 80-88. Retrieved from http://mcfns.com/index.php/Journal/article/view/6_80/183.
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