A modeling strategy for the growth projection of managed stands

1985 ◽  
Vol 15 (3) ◽  
pp. 511-518 ◽  
Author(s):  
James D. Arney
Keyword(s):  
Data Base ◽  
Large Data ◽  
Height Growth ◽  
Projection Model ◽  
Individual Tree ◽  
Large Data Base ◽  
Tree Distance ◽  
Growth Projection ◽  
Modeling Strategy ◽  
Projection Strategy

Using a large data base of permanent research plots in coastal Douglas-fir, a growth projection strategy is developed. The emphasis is on stratifying growth influences into potential and modifier functions for components of diameter and height growth within a stand table. Growth periods are defined as equal increments of top height through time. The model developed is an individual-tree, distance-independent, stand-projection model.

A two-level architecture for a large data base

1976 ◽  
Vol 10 (4) ◽  
pp. 23-23 ◽  
Author(s):  
Tomas Lang
Keyword(s):  
Data Base ◽  
Large Data ◽  
Large Data Base

Numeric data bases on‐line

Online Review ◽  
1977 ◽  
Vol 1 (3) ◽  
pp. 207-215 ◽  
Author(s):  
James A. Luedke
Keyword(s):  
Data Base ◽  
Distributed Processing ◽  
Large Data ◽  
Training Needs ◽  
Data Bases ◽  
Textual Information ◽  
Large Data Base ◽  
User Training ◽  
On Line ◽  
Numeric Data

The activities that are at present furthering the visibility of numeric data bases and systems are discussed. A tentative estimate of the numbers of existing numeric data bases and systems in various categories of accessibility (on‐line, batch, and remotely accessible) and availability (public, restricted, and in‐house) is made. Numeric data bases and systems are becoming offered by information retrieval services through many of the channels that made bibliographic and textual information systems successful. These include remote accessibility and marketing by large data base vendors. The user community for numeric data bases is generally more restricted, with the possible exception of business and financial numeric data bases. User training needs are generally greater as well. Numeric data bases may nevertheless reach large user audiences with the advent of distributed processing and, ultimately, data base maps which can automatically locate and link together data bases in many locations.

Cumulative Frequency Distributions for Daily Global Illuminance

Solar Energy ◽  
2004 ◽  
Author(s):  
V. V. Satyamurty ◽  
P. RaviKumar
Keyword(s):  
Standard Deviation ◽  
Data Base ◽  
Linear Form ◽  
Large Data ◽  
Cumulative Frequency ◽  
Clearness Index ◽  
Frequency Distributions ◽  
Large Data Base ◽  
Average Value ◽  
Monthly Average

The present article describes the development of cumulative frequency distributions (similar to clearness index distributions) for daily global horizontal illuminance based on the modeled data of 56 US locations. Normalized variables have been employed to account for seasonal and location dependencies. The normalized variables contain the maximum and minimum illuminance values in the array of daily values in addition to the daily illuminance (the variable to be related to cumulative frequency) and the monthly average daily illuminance. The distributions thus developed discrete in terms of the normalized monthly average daily global illuminance have been presented in a convenient linear form which accommodates continuous values for the parameter. When data are not available, the maximum and minimum of the daily values needed in estimating the parameter first and eventually the daily illuminance values have been correlated to other more readily available predictors. Present distributions have been validated by comparing against the daily illuminance values available in the large data base employed. Daily global illuminance has been predicted with a standard deviation of 23.44 klux and rms difference of 4.64%. The present correlations can be conveniently applied to obtain the 30 or 31 daily illuminance values in a month from the monthly average value.

Quetiapine Versus Trazodone in Reducing Rehospitalization for Alcohol Dependence: A Large Data-Base Study

2008 ◽  
Vol 2 (3) ◽  
pp. 128-134 ◽  
Author(s):  
Edward P. Monnelly ◽  
Joseph S. LoCastro ◽  
David Gagnon ◽  
Melissa Young ◽  
Louis D. Fiore
Keyword(s):  
Alcohol Dependence ◽  
Data Base ◽  
Large Data ◽  
Large Data Base ◽  
Base Study

Holographic contouring of fossil teeth

1987 ◽  
Vol 61 (6) ◽  
pp. 1236-1241 ◽  
Author(s):  
Stuart B. Elliott ◽  
William J. Morris
Keyword(s):  
Data Base ◽  
Holographic Interferometry ◽  
Analytical Techniques ◽  
Large Data ◽  
Trend Surface Analysis ◽  
Contour Map ◽  
Trend Surface ◽  
Large Data Base ◽  
Contour Maps ◽  
Very Large Data Base

A method has been developed that uses holographic interferometry to generate contour maps of the occlusional surfaces of fossil teeth. The resulting contour map is, in itself, a valuable descriptive tool. In addition, it provides information for a very large data base, which has been used in trend-surface analysis and Q-mode clustering. As an example, these analytical techniques are applied to a set of Pliocene badger teeth. The same methods can be applied to any paleontological problem dealing with shapes of small objects.

scholarly journals Risk factors for stuttering: a secondary analysis of a large data base

2009 ◽  
Vol 260 (4) ◽  
pp. 279-286 ◽  
Author(s):  
Vladeta Ajdacic-Gross ◽  
Stefan Vetter ◽  
Mario Müller ◽  
Wolfram Kawohl ◽  
Franz Frey ◽  
...  
Keyword(s):  
Risk Factors ◽  
Data Base ◽  
Secondary Analysis ◽  
Large Data ◽  
Large Data Base
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