scholarly journals Using the ARP-03 for high-resolution mapping of calcic horizons

2013 ◽  
Vol 27 (3) ◽  
pp. 313-321 ◽  
Author(s):  
S. Priori ◽  
M. Fantappič ◽  
S. Magini ◽  
E.A.C. Costantini
Keyword(s):  
Principal Component Analysis ◽  
Electrical Resistivity ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Component Analysis ◽  
Proximal Sensing ◽  
Cheap Method ◽  
Resolution Mapping

Abstract The aim of this work is to present a fast and cheap method for high-resolutionmapping of calcic horizons in vineyards based on geoelectrical proximal sensing. The study area, 45 ha located in southern Sicily (Italy), was characterized by an old, partially dismantled marine terrace and soils with a calcic horizon at different depths. The geoelectrical investigation consisted of a survey of the soil electrical resistivity recorded with the Automatic Resistivity Profiling-03 sensor. The electrical resistivity values at three pseudo-depths, 0-50, 0-100 and 0-170 cm, were spatialized by means of ordinary kriging. A principal component analysis of the three electrical resistivity maps was carried out. During the survey, 18 boreholes, located at different electrical resistivity values, were made for soil description and sampling. The depth to the calcic horizon showed a strong correlation with electrical resistivity. The regression model between calcic horizon and the principal component analysis factors with the highest correlation coefficients was selected to spatialise the calcic horizon values. An Normalized Difference Vegetation Index map was used to validate the calcic horizon map in terms of crop response to different soil rooting depths. The strengths of this method are the quick, non-invasive kind of survey, the relevance for vine vigour, and the high spatial resolution of the final map.

scholarly journals ALGORITMA UNTUK DETEKSI TUMPAHAN MINYAK DI LAUT TIMOR MENGGUNAKAN CITRA MODIS

2017 ◽  
Vol 4 (1) ◽  
pp. 41-62
Author(s):  
Muhammad Sudibjo ◽  
Vincentius P. Siregar ◽  
Jonson Lumban Gaol
Keyword(s):  
Principal Component Analysis ◽  
Oil Spill ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Principal Component ◽  
Component Analysis ◽  
Fluorescence Index ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer

Tumpahan minyak di Laut Timor yang terjadi pada tahun 2009 telah menyebarkan minyak seluas 10.842.81 km2.Tumpahan minyak ini berhasil dideteksi oleh satelit Moderate Resolution Imaging Spectroradiometer (MODIS). Tujuan dari penelitian ini adalah membandingkan hasil deteksi tumpahan minyak dari beberapa algoritma dengan citra menggunakan citra MODIS dan melihat perbedaan visual yang dihasilkan. Algoritma yang digunakan adalah Oil Spill Index, Fluorescence Index, Principal Component Analysis (PCA), Normalized Difference Vegetation Index (NDVI). Visualisasi tumpahan minyak yang terlihat pada citra MODIS dengan algoritma oil spill indeks dan fluorescence index lebih cerah dibandingkan dengan badan air disekitarnya dan juga memiliki nilai piksel lebih tinggi, sedangkan visualisasi minyak menggunakan algoritma PCA dan NDVI lebih gelap dibandingkan dengan badan air disekitarnya dan juga memiliki nilai piksel yang lebih rendah. Hasil uji akurasi yang dilakukan terhadap algoritma oil splill index, fluorescence index, PCA, NDVI berturut-turut sebagai berikut 41%, 46%, 41%, dan 60%

scholarly journals Principal component analysis for evaluating a ranking method used in the performance testing in sheep of Morada Nova breed

2015 ◽  
Vol 36 (6) ◽  
pp. 3909
Author(s):  
Michelle Santos da Silva ◽  
Luciana Shiotsuki ◽  
Raimundo Nonato Braga Lôbo ◽  
Olivardo Facó
Keyword(s):  
Principal Component Analysis ◽  
Principal Components ◽  
Correlation Coefficients ◽  
Performance Testing ◽  
Principal Component ◽  
Component Analysis ◽  
Ranking Method ◽  
Daily Weight Gain ◽  
Meat Production ◽  
Body Depth

A multivariate approach was adopted to evaluate the relationship among traits measured in the performance testing of Morada Nova sheep, verify the efficiency of a ranking method used in these tests and identify the most significant traits for use in future analyses. Data from 150 young rams participating in five versions of the performance tests for the Morada Nova breed were used. Twenty traits were measured in each animal: initial weight (IW), final weight (FW), average daily weight gain (ADG), loin eye area (LEA), scrotal circumference (SC), fat thickness (FT), conformation (C), precocity (Pc), muscularity (M), breed features (BF), legs (L), withers height (WH), chest width (CW), rump height (RH), rump width (RW), rump length (RL), body length (BL), body depth (BD), heart girth (HG) and body condition scoring (BCS). The Pearson’s correlation coefficients ranged from –0.10 to 0.93, with the highest correlations were between body weight variables and morphometric measurements. The three first principal components explained 72.28% of the total variability among all traits. The variables related to animal size defined the first principal component, whereas those related to visual appraisal and suitability for meat production defined the second and third principal components, respectively. The combination of traits from the principal component analysis showed that the ranking method currently used in the performance testing of Morada Nova sheep is efficient for selecting larger rams with better breed features and higher degrees of specialization for meat production.

scholarly journals Resiliência em Médicos: Contributos para a Validação da Versão Portuguesa da Escala de Resiliência

2021 ◽  
Vol 34 (13) ◽  
Author(s):  
Carla Serrão ◽  
Luísa Castro ◽  
Andreia Teixeira ◽  
Ana Rita Rodrigues ◽  
Ivone Duarte
Keyword(s):  
Principal Component Analysis ◽  
Life Satisfaction ◽  
Internal Structure ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Component Analysis ◽  
Satisfaction Scale ◽  
Resilience Scale

Introduction: The aim of this study is to explore the validation of the Resilience Scale in its long and brief versions (25 items and 14 items). This instrument assesses the individual’s ability to withstand stressors, thrive and make sense of vital challenges.Material and Methods: The sample included 511 Portuguese physicians. Both versions were validated through the study of internal structure validity, reliability, and convergent validity. The validity of the internal structure was analysed using the principal component analysis technique. Reliability was verified by the internal consistency study. For convergent validity, the correlation coefficients between these versions of the Resilience Scale and other scales validated to measure depression, anxiety, stress, and life satisfaction were calculated.Results: Both versions of Resilience Scale showed good internal consistency. For each of the versions, one factor was retained in the principal component analysis. Convergent validity was verified by significant positive correlations between Resilience Scale (25 and 14) and a life satisfaction scale and significant negative correlations between Resilience Scale and depression, anxiety, and stress subscales.Discussion: The results show the one-dimensional character of both versions of the Resilience Scale and support their usefulness and validity in the physician’s class. Conclusion: This is the first validation study of this scale in a group of physicians. Its results are very satisfactory, and its use in this specific group is recommended.

The use of ordination techniques in the preliminary evaluation of Stylosanthes accessions

1973 ◽  
Vol 24 (5) ◽  
pp. 715 ◽  
Author(s):  
WT Williams ◽  
LA Edye ◽  
RL Burt ◽  
B Grof
Keyword(s):  
Principal Component Analysis ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Component Analysis ◽  
Preliminary Evaluation ◽  
Ordination Techniques ◽  
Three Components ◽  
The Way

It is suggested that ordination is preferable to classification if two sets of data are to be rigorously compared. Ordination techniques have been applied to data from 154 Stylosanthes accessions grown at two contrasted sites. Eleven agronomic attributes were recorded for each site. Each set of data was submitted separately to a principal component analysis, and the first three components in each case are described and discussed. Techniques are explained as well as the way in which the components can be used for predicting the most promising accessions. The two sets of components were compared by canonical procedures, and although the between-attributes-between-sites correlation coefficients are everywhere low, the canonical coefficients are extremely high. There is, therefore, a robust attribute- pattern, common to the two sites, but exemplified by different species in each instance. If a desirable performance can be defined in terms of the canonical components, it follows that accessions can always be found that will meet it, but different species will be required at different sites. The results strongly suggest that, among the set of accessions tested, there may be forms potentially capable of out-yielding even the best of the existing cultivars.

scholarly journals microRNA-mRNA interaction identification in Wilms tumor using principal component analysis based unsupervised feature extraction

2016 ◽  
Author(s):  
Y-h. Taguchi
Keyword(s):  
Principal Component Analysis ◽  
Feature Extraction ◽  
Wilms Tumor ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Component Analysis ◽  
Mrna Gene ◽  
Unsupervised Feature Extraction

AbstractWilms tumor is one of lethal child renal cancers, for which no known disease causing mechanisms exist. In this paper, we tried to identify possible disease causing microRNA(miRNA)-mRNA pairs (interactions) by analyzing (partially matched) miRNA/mRNA gene expression profiles with the recently proposed principal component analysis based unsupervised feature extraction. It successfully identified multiple miRNA-mRNA pairs whose biological natures are convincing. Correlation coefficients between miRNA and mRNA expression in matched parts of profiles turned out to be significantly negative. Constructed miRNA-mRNA network will be a key to understand Wilms tumor causing mechanisms.

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