A Brief Overview of the 9th Southern Forestry and Natural Resources GIS Conference

Авторы

Ключевые слова:

Symposium Proceedings, SOFOR GIS, Geographic Information Systems, Spatial Information Technologies

Аннотация

This short summary represents the introduction and overview of a special section of two papers that arose from the 2013 (9th) Southern Forestry and Natural Resources GIS Conference (SOFOR GIS). The conference held its ninth meeting in Athens, Georgia (USA) on December 9-10, 2013.

Биография автора

  • Pete Bettinger, University of Georgia, University of Georgia
    Professor

Библиографические ссылки

Bettinger, P., and W.G. Hubbard. 2010. The 2009 Southern Forestry and Natural Resources GIS Conference. Mathematical and Computational Forestry and Natural-Resources Sciences. 1: 135-137.

Finney, M.A. 2004. FARSITE: fire area simulator - model development and evaluation. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Ogden UT. Research Paper RMRS-RP-4 Revised. 47 p.

Lowe, R.C., and C.J. Cieszewski. 2014. Multi-source K-nearest neighbor, mean balanced forest inventory of Georgia. Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS). 6(2)10-24. Available online at: http://mcfns.com/.../MCFNS 184/MCFNS-184

Merry, K., P. Bettinger, T. Brown, C.J. Cieszewski, I-K. Hung, and Q. Meng. 2014. Proceedings of the 9th Southern Forestry and Natural Resources GIS Conference. Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA. 165 p.

Williams, T.M., B.J. Williams, and B. Song. 2014. Creation of GIS data requirements for FARSITE modeling of an historic wildfire. Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS). 6(2)25-33. Available online at: http://mcfns.com/.../MCFNS 183/MCFNS-183

Опубликован

2014-09-30

Выпуск

Раздел

Special Section on the Southern Forestry GIS Conference

Как цитировать

A Brief Overview of the 9th Southern Forestry and Natural Resources GIS Conference. (2014). Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 6(2), 62-64 (3). https://www.tmp.17921125833755a190e36a5857.temporary.link/index.php/Journal/article/view/6_62

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