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

Autori

Parole chiave:

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

Abstract

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.

Biografia autore

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

Riferimenti bibliografici

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

Pubblicato

2014-09-30

Fascicolo

Sezione

Special Section on the Southern Forestry GIS Conference

Come citare

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://v3.mcfns.com/index.php/Journal/article/view/6_62

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