Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS) — ##plugins.generic.mcfnsReadingTools.readingTools##

##plugins.generic.mcfnsReadingTools.printerFriendly##

A brief overview of the second Special Section of papers from the tenth Southern Forestry and Natural Resource Management GIS Conference

Pete Bettinger, Krista Merry

##plugins.generic.mcfnsReadingTools.abstract##

This is the second Special Section of papers from the 10 th Southern Forestry and Natural Resource Management GIS Conference. The conference was held in Athens, Georgia (USA) on December 7-8, 2015. In this Special Section resides the third manuscript that has passed the peer review process. We anticipate that future issues of Mathematical and Computational Forestry & Natural-Resource Sciences may include other papers from the conference.

##plugins.generic.mcfnsReadingTools.keywords##

Symposium Proceedings; SOFOR GIS; Geographic Information Systems; Spatial Information Technologies; mapping technologies

##plugins.generic.mcfnsReadingTools.references##

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.
Kauffman, J.S., and S.P. 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.

PDF (英語)