Users Need Performance Information to Evaluate Models
Abstract:The important criteria for evaluating a forest growth model depend on the model's use. Consequently the potential user rather than the developer should determine acceptability, particularly when the model can serve multiple purposes. To help the user, the developer should present quantitative information about the model's performance under a variety of forest conditions.
Document Type: Journal Article
Affiliations: Mathematical Statistician, North Central Forest Experiment Station, USDA Forest Service, St. Paul, Minnesota 55108
Publication date: April 1, 1983
More about this publication?
- The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.
2015 Impact Factor: 1.476
Ranking: 22 of 66 in forestry
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