Fitting diameter distribution models to data from forest inventories with concentric plot design
نویسندگان
چکیده
منابع مشابه
Development and Comparison of Species Distribution Models for Forest Inventories
A comparison of several statistical techniques common in species distribution modeling was developed during this study to evaluate and obtain the statistical model most accurate to predict the distribution of different forest tree species (in our case presence/absence data) according environmental variables. During the process we have developed maximum entropy (MaxEnt), classification and regre...
متن کاملAnomalous diameter distribution shifts estimated from FIA inventories through time
Forestry, Vol. 83, No. 3, 2010. doi:10.1093/forestry/cpq009 For Permissions, please email: [email protected] Advance Access publication date 7 April 2010 Since the 1930s, the individual, regional Forest Inventory and Analysis Units concentrated on increasing their efficiency of operation, often by improving the efficiency of the sample design for the specific forest condit...
متن کاملPlot intensity and cycle-length effects on growth and removals estimates from forest inventories
Continuous forest inventory planners can allocate the budget to more plots per acre or a shorter remeasurement cycle. A higher plot intensity benefits small area estimation and allows for more precision in current status estimates. Shorter cycles may provide better estimates of growth, removals and mortality. On a fixed budget, the planner can’t have both greater plot intensity and shorter cycl...
متن کاملFitting two concentric spheres to data by orthogonal distance regression
The problem of this research tackles the process of fitting two concentric spheres to data, which arises in computational metrology. There are also many fitting criteria that could be used effectively, and the most widely used one in metrology, for example, is that of the sum of squared minimal distance. However, a simple and robust algorithm assigned for using the orthogonal distance regressio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Forest Systems
سال: 2017
ISSN: 2171-9845
DOI: 10.5424/fs/2017262-10486