Application of topography and logistic regression in forest type spatial prediction

Application of topography and logistic regression in forest type spatial prediction

This research was carried out for predicting probability of forest type's presence using topographic attributes in the Educational and Research Forest of Doctor Bahramnia, district 1, with 1714 ha area. Field sampling was performed, based on cluster random sampling and systematic random samplin...

Full description

Bibliographic Details
Main Authors:	Fariba Ghanbari, Sha'ban Shataee Joybari, Majeid Azim Mohseni, Hashem Habashi
Format:	Article
Language:	fas
Published:	Research Institute of Forests and Rangelands of Iran 2011-03-01
Series:	تحقیقات جنگل و صنوبر ایران
Subjects:	Spatial predictive map forest types primary and secondary topographic attributes Logistic regression
Online Access:	http://ijfpr.areeo.ac.ir/article_107599_2a04d88152e45176c48240618d770ac9.pdf

Similar Items

Deforestation modeling and investigation on related physiographic and human factors using satellite images and GIS (Case study: Armerdeh forests of Baneh)
by: Mohammad Rashid Amini, et al.
Published: (2008-09-01)

Evaluation of Landsat-ETM+ and IRS-LISS III satellite data for forest type mapping in Zagros forests (Case study: Ghalajeh forest, Kermanshah province)
by: Rohollah Porma, et al.
Published: (2009-12-01)

Applying Artificial Neural Networks and Multiple Linear Regression models to estimate Forest density in Marivan forests
by: sasan vafaei, et al.
Published: (2016-03-01)

Incorporating survey weights into logistic regression models
by: Wang, Jie
Published: (2013)

Application of the Ordinal Logistic Regression Models in Quality of life Studies
by: Z Asadollahi, et al.
Published: (2014-06-01)

Categorical Data Analysis - Logistic Regression
by: Shengping Yang, et al.
Published: (2014-07-01)

Maximum Likelihood Estimation of Logistic Sinusoidal Regression Models
by: Weng, Yu
Published: (2013)

Social demographic factors influencing consumer's preferences on rice attributes in Indonesia: a multinomial logistic approach
by: Julkhaidar Romadhon, et al.
Published: (2021-03-01)

Common pitfalls in statistical analysis: Logistic regression
by: Priya Ranganathan, et al.
Published: (2017-01-01)

Topics in ordinal logistic regression and its applications
by: Kim, Hyun Sun
Published: (2004)

Sample comparisons using microarrays: - Application of False Discovery Rate and quadratic logistic regression
by: Guo, Ruijuan
Published: (2008)

On goodness-of-fit of logistic regression model
by: Liu, Ying
Published: (2007)

Inference on Logistic Regression Models
by: Rashid, Mamunur
Published: (2008)

PEMODELAN RISIKO PENYAKIT PNEUMONIA PADA BALITA DI PROVINSI JAWA TIMUR DENGAN PENDEKATAN GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION
by: EVI NOVIYANTARI FATIMAH, et al.
Published: (2015-05-01)

Prediction of Tuberculosis Using a Logistic Regression Model
by: Kiarash Ghazvini, et al.
Published: (2019-09-01)

Predicting the potential habitat of Wych elm (Ulmus glabra Huds.) using the Maxent model in Kheyrod forest
by: Atefeh Mohammadi, et al.
Published: (2019-02-01)

Identifiability of logistic regression with homoscedastic error: Berkson model
by: Sergiy Shklyar
Published: (2015-07-01)

Privacy-preserving logistic regression training
by: Charlotte Bonte, et al.
Published: (2018-10-01)

LOGISTIC REGRESSION AS A TOOL FOR DETERMINATION OF THE PROBABILITY OF DEFAULT FOR ENTERPRISES
by: Erika SPUCHLAKOVA, et al.
Published: (2017-12-01)

Random forest versus logistic regression: a large-scale benchmark experiment
by: Raphael Couronné, et al.
Published: (2018-07-01)

Logistic regression with conjugate gradient descent for document classification
by: Namburi, Sruthi
Published: (2016)

On Some Ridge Regression Estimators for Logistic Regression Models
by: Williams, Ulyana P
Published: (2018)

LOGISTICS REGRESSION MODELING ON INFANT MORTALITY RATES IN EAST JAVA PROVINCE
by: Burhanuddin Lazuwardi
Published: (2020-08-01)

Influence of Logistic Regression Models For Prediction and Analysis of Diabetes Risk Factors
by: Yufri Isnaini Rochmat Maulana, et al.
Published: (2018-07-01)

Logistic regression over encrypted data from fully homomorphic encryption
by: Hao Chen, et al.
Published: (2018-10-01)

Evaluation of logistic regression and random forest classification based on prediction accuracy and metadata analysis
by: Wålinder, Andreas
Published: (2014)

Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification
by: Faxian Cao, et al.
Published: (2017-12-01)

A LOGISTIC REGRESSION AND DISCRIMINANT FUNCTION ANALYSIS OF ENROLLMENT CHARACTERISTICS OF STUDENT VETERANS WITH AND WITHOUT DISABILITIES
by: Metcalfe, Yovhane
Published: (2012)

Application of logistic regression in an analysis of Polish households’ financial problems
by: Zbigniew Gołaś,, et al.
Published: (2012-03-01)

Use of Logistic Regression for Forecasting Short-Term Volcanic Activity
by: Mark T. Woods, et al.
Published: (2012-08-01)

Classification of Bone Cements Using Multinomial Logistic Regression Method
by: Wei, Jinglun
Published: (2018)

Logistic regression model training based on the approximate homomorphic encryption
by: Andrey Kim, et al.
Published: (2018-10-01)

Desertification Susceptibility Mapping Using Logistic Regression Analysis in the Djelfa Area, Algeria
by: Farid Djeddaoui, et al.
Published: (2017-10-01)

Noncollapsibility and its role in quantifying confounding bias in logistic regression
by: Noah A. Schuster, et al.
Published: (2021-07-01)

Logistic regression to determine significant factors associated with share price change
by: Muchabaiwa, Honest
Published: (2014)

Logistic regression to determine significant factors associated with share price change
by: Muchabaiwa, Honest
Published: (2014)

Dealing with measurement error in covariates with special reference to logistic regression model: a flexible parametric approach
by: Hossain, Shahadut
Published: (2008)

Dealing with measurement error in covariates with special reference to logistic regression model: a flexible parametric approach
by: Hossain, Shahadut
Published: (2008)

Dealing with measurement error in covariates with special reference to logistic regression model: a flexible parametric approach
by: Hossain, Shahadut
Published: (2008)

Endogeneity in Logistic Regression Models
by: George Avery, et al.
Published: (2005-03-01)

Cannot write session to /tmp/vufind_sessions/sess_431g4e199mna5qfnbms8s66su3