نتایج جستجو برای: derived from regression tree
تعداد نتایج: 5991938 فیلتر نتایج به سال:
This study investigated the potential of fusing low laser-sampling density LiDAR data with QuickBird panchromatic imagery for estimating stand volumes. The study area was in closed-canopy, mountainous Japanese cedar (Cryptomeria japonica) plantations in Japan. Stand volume in the area ranged from 250.5 to 913.1 m/ha and terrain was undulating with an elevation ranging from 135 to 391 m above se...
AIM This paper presents a discussion of classification and regression tree analysis and its utility in nursing research. BACKGROUND Classification and regression tree analysis is an exploratory research method used to illustrate associations between variables not suited to traditional regression analysis. Complex interactions are demonstrated between covariates and variables of interest in in...
Unmanned aerial vehicles (UAVs) images have high spatial resolution. They are a valuable source of information for mapping land cover and thematic information, particularly in the identification of tree species. The aim of this study was to investigate the capability of drone images and the base object method for detecting tree species in the Hyrcanian forests. For this purpose, part of an area...
The objective of this paper is to assess increase and decrease of forest area and estimate shrub encroachment between 1997 and 2002 in open mire land using CIR-aerial images, DSMs derived from it and LiDAR data. The present study was carried out in the framework of the Swiss Mire Protection Program, where changes of forest area are a key issue. The study area is located in the Pre-alpine zone o...
background & aim: in many medical studies, one data set is used to construct the model, and to test its performance. this approach is prone to over optimization, and leads to statistics with low chance of external validity. data splitting can be used to create training and test sets but the cost is reduction in power. the aim of this study was to demonstrate the ability of bootstrap aggregating...
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