نتایج جستجو برای: derived from regression tree

تعداد نتایج: 5991938  

2008
Tomoaki Takahashi Yoshio Awaya Yasumasa Hirata Naoyuki Furuya Toru Sakai Atsushi Sakai

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...

2014
Lisa Kuhn Karen Page John Ward Linda Worrall-Carter

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...

2007
E. BALTSAVIAS H. EISENBEISS D. AKCA M. KÜCHLER C. GINZLER

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...

Journal: :journal of biostatistics and epidemiology 0
morteza rostami department of biostatistics and epidemiology, school of public health, kerman university of medical sciences, kerman, iran behshid garrusi department of community medicine, neuroscience research center, afzallipour medical school, kerman university of medical sciences, kerman, iran mohamad reza baneshi modeling in health research center, institute for futures studies in health, kerman university of medical sciences, kerman, iran

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...

Journal: :IEEE Transactions on Pattern Analysis and Machine Intelligence 2016

Journal: :Indian Journal of Science and Technology 2016

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