scholarly journals Random forest regression analysis on combined role of meteorological indicators in disease dissemination in an Indian city: A case study of New Delhi

Urban Climate ◽  
2021 ◽  
Vol 36 ◽  
pp. 100780
Author(s):  
Ramya Hariharan
Keyword(s):  
Regression Analysis ◽  
Random Forest ◽  
New Delhi ◽  
Random Forest Regression ◽  
Indian City

Determination of Chlorpyrifos in Pears by Raman Spectroscopy with Random Forest Regression Analysis

2019 ◽  
Vol 53 (6) ◽  
pp. 821-833
Author(s):  
Xiaofan Du ◽  
Ping Wang ◽  
Lei Fu ◽  
Huifang Liu ◽  
Zhenxi Zhang ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Regression Analysis ◽  
Random Forest ◽  
Random Forest Regression

scholarly journals RANDOM FOREST REGRESSION FOR THE ESTIMATION OF LEAF AREA INDEX OF OKRA CROP USING GROUND BASED BISTATIC SCATTEROMETER

2018 ◽  
Vol XLII-5 ◽  
pp. 719-725
Author(s):  
S. A. Yadav ◽  
R. Prasad ◽  
A. K. Vishwakarma ◽  
V. P. Yadav
Keyword(s):  
Regression Analysis ◽  
Random Forest ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Growth Stages ◽  
Data Sets ◽  
Angle Of Incidence ◽  
Random Forest Regression ◽  
Area Index ◽  
Scattering Coefficients

<p><strong>Abstract.</strong> The specular bistatic scattering mechanism of Okra's crop was analyzed using dual polarized ground based bistatic scatterometer system at X, C, and L bands in the specular direction with the azimuthal angle(&amp;theta;<span class="thinspace"></span>=<span class="thinspace"></span>0&amp;deg;). An outdoor Okra crop bed of area 10<span class="thinspace"></span>&amp;times;<span class="thinspace"></span>10<span class="thinspace"></span>m<sup>2</sup> was specially prepared for the estimation of leaf area index (LAI) at HH and VV polarizations over the angular range of incidence angle 20&amp;deg; to 60&amp;deg; at steps of 10&amp;deg;. The regression analysis was done between bistatic specular scattering coefficients and crop biophysical parameter at X, C, and L bands for HH and VV polarization at different angle of incidence to determine the optimum parameters of bistatic scatterometer system. The linear regression analysis showed the high correlation at 40&amp;deg; angle of incidence for all bands and polarizations for the Okra crop. The computed scattering coefficients and measured LAI of Okra crop for the seven growth stages at 40&amp;deg; angle of incidence were interpolated into 61 data sets. The data sets were divided into input, validation and testing for the training and testing of the developed random forest regression (RF) model for the estimation of LAI for Okra crop. The estimated values of LAI of Okra crop, by the developed RF regression model, were found more closer to the observed values at X band for VV polarization with coefficient of determination (R<sup>2</sup><span class="thinspace"></span>=<span class="thinspace"></span>0.928) and low root mean square error (RMSE<span class="thinspace"></span>=<span class="thinspace"></span>0.260<span class="thinspace"></span>m<sup>2</sup>/m<sup>2</sup>) in comparison to C and L bands.</p>

scholarly journals Spatially Explicit Mapping of Historical Population Density with Random Forest Regression: A Case Study of Gansu Province, China, in 1820 and 2000

2020 ◽  
Vol 12 (3) ◽  
pp. 1231 ◽  
Author(s):  
Fahao Wang ◽  
Weidong Lu ◽  
Jingyun Zheng ◽  
Shicheng Li ◽  
Xuezhen Zhang
Keyword(s):  
Spatial Distribution ◽  
Random Forest ◽  
Population Density ◽  
Census Data ◽  
Gansu Province ◽  
Spatially Explicit ◽  
Random Forest Regression ◽  
Independent Variables ◽  
Population Weighting

This study established a random forest regression model (RFRM) using terrain factors, climatic and river factors, distances to the capitals of provinces, prefectures (Fu, in Chinese Pinyin), and counties as independent variables to predict the population density. Then, using the RFRM, we explicitly reconstructed the spatial distribution of the population density of Gansu Province, China, in 1820 and 2000, at a resolution of 10 by 10 km. By comparing the explicit reconstruction with census data at the township level from 2000, we found that the RFRM-based approach mostly reproduced the spatial variability in the population density, with a determination coefficient (R2) of 0.82, a positive reduction of error (RE, 0.72) and a coefficient of efficiency (CE) of 0.65. The RFRM-based reconstructions show that the population of Gansu Province in 1820 was mostly distributed in the Lanzhou, Gongchang, Pingliang, Qinzhou, Qingyang, and Ningxia prefecture. The macro-spatial pattern of the population density in 2000 kept approximately similar with that in 1820. However, fine differences could be found. The 79.92% of the population growth of Gansu Province from 1820 to 2000 occurred in areas lower than 2500 m. As a result, the population weighting in the areas above 2500 m was ~9% in 1820 while it was greater than 14% in 2000. Moreover, in comparison to 1820, the population density intensified in Lanzhou, Xining, Yinchuan, Baiyin, Linxia, and Tianshui, while it weakened in Gongchang, Qingyang, Ganzhou, and Suzhou.

Contactless and non-destructive chlorophyll content prediction by random forest regression: A case study on fresh-cut rocket leaves

2017 ◽  
Vol 140 ◽  
pp. 303-310 ◽  
Author(s):  
Dario Pietro Cavallo ◽  
Maria Cefola ◽  
Bernardo Pace ◽  
Antonio Francesco Logrieco ◽  
Giovanni Attolico
Keyword(s):  
Random Forest ◽  
Chlorophyll Content ◽  
Random Forest Regression ◽  
Fresh Cut ◽  
Non Destructive

scholarly journals PENGARUH PERGAULAN TERHADAP KENAKALAN “ABG” DI YOGYAKARTA MENGGUNAKAN REGRESI LOGISTIK

2017 ◽  
Vol 7 (2) ◽  
pp. 139
Author(s):  
Ridayati Ridayati
Keyword(s):  
High School ◽  
Regression Analysis ◽  
High Technology ◽  
Qualitative Approach ◽  
Senior High School ◽  
High Tech ◽  
Fundamental Factor ◽  
Immoral Behavior

Junior and Senior High School is the period for what we called unstable of “Anak Baru Gede (ABG) ”. Application of high technology like internet, is the ordinary things for students of Junior and Senior High School in Yogyakarta, which is used for doing their homework. Nevertheless, high tech is usedfor looking friends through Facebook, Twitter, etc as well. Nowadays, ABG are always curious of the new things, that lead them to inappropriate research. Even more, lack of parents concern is impacted to immoral behavior. Besides, negative environment gives the fundamental factor to immoral behavior as well. Hence, it effected to mentally and morally degradation. The objective o f this research is for identifying the role of society to ABGs mischievousness in Yogyakarta. This research is used qualitative approach with case study 's methodology to obtain data and description related to ABG s mischievousness in Yogyakarta. Next, is using Logistic Regression analysis to analyze the connection. The result is Y=4. 7451.054 X equation. Hence, it concluded that increased one unit of society's role will decrease the degree of ABG s mischievousness by 1.054.

scholarly journals The Role of Formal and Informal Credit in Agriculture Sector: A Case Study of District Faisalabad, Pakistan

2020 ◽  
Vol 2 (3) ◽  
pp. 99-102
Author(s):  
Khadija Akram ◽  
Muhammad Amjed Iqbal ◽  
Muhammad Munawar Hayat
Keyword(s):  
Regression Analysis ◽  
Time Delay ◽  
Positive Impact ◽  
Primary Data ◽  
Annual Income ◽  
Informal Credit ◽  
Agriculture Sector ◽  
Effective Role

The study aims to examine the role of formal and informal credit in the agriculture sector. The agriculture sector is considered the backbone of the economy of Pakistan. Credit is used as the most important source to enhance the productivity of the agriculture sector. Primary data were collected after choosing a sample of respondents of formal and informal credit users from district Faisalabad. It was observed from the literature that the disbursement of credit to farmers has a more important and effective role in agricultural output. So to check this impact the study in hand was carried out. The study also includes an exploration of the role of formal and informal credit on the productivity and profitability of farmers. The data were collected from 100 formal credit borrowers and 50 informal credit borrowers from district Faisalabad. Primary data were collected randomly through a well-designed questionnaire from farmers. Multiple regression analysis was used for the estimation of the results. This method was used to estimate the role of formal and informal credit in the agriculture sector. The results showed that annual income increased after getting the loan. The focus of the study was to investigate the role of formal and informal credit in the agriculture sector. The result showed that informal credit was more convenient in terms of timely availability of loans, less distance to travel, less time delay, and no specific securities. In this way, this study concluded that formal and informal credit has a significant impact on agricultural productivity, and the trend of agriculture credit has been gradually increased has a positive impact on income.

scholarly journals The Role of Religiosity on Halal Product Purchasing Decision Case Study : Wardah Cosmetics

2020 ◽  
Vol 1 (1) ◽  
pp. 19
Author(s):  
Farah Amalia
Keyword(s):  
Decision Making ◽  
Regression Analysis ◽  
Market Competition ◽  
Sampling Technique ◽  
International Markets ◽  
Global Market ◽  
Cosmetic Products ◽  
Practical Implications

The purpose of this study is to examine the effect of religiosity in making decisions about purchasing halal cosmetic products. This study uses regression analysis using purposive sampling technique that is sampling in the form of characteristics that have been determined by researchers. The results showed that religiosity affects Muslim consumers in the decision making to purchase halal cosmetic products. Practical implications for the cosmetics industry is to focus on product development based on the concept of halal in order to participate in the global market competition. The importance of considering consumer religiosity in order to gain recognition from national and international markets so that the image of the cosmetics industry has a place in the hearts of consumers.

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