scholarly journals Agro-climatic classification in India

MAUSAM ◽  
2021 ◽  
Vol 44 (1) ◽  
pp. 53-60
Author(s):  
A. CHOWDHURY ◽  
H. P. DAS ◽  
S.S. SINGH
Keyword(s):  
Principal Component Analysis ◽  
Soil Moisture ◽  
Spatial Variability ◽  
Principal Component ◽  
Component Analysis ◽  
Climatic Zones ◽  
Climatic Classification ◽  
Agroclimatic Zones ◽  
Rainy Days

In the present study, principal component analysis has been applied to agroclimatic variables for delineating India into homogeneous agroclimatic zones for kharif crops. The vaTiates chosen were soil moisture, water need of the crops, number of rainy days and radiation. Spatial variability of some of these factors has been discussed. Vector 1 and vector 2 were obtained for each of the three separate sets of the variates and plotted to obtain grid maps. Through a process of successive superimposition of these maps, agro-climatic zones have been obtained.  

scholarly journals Regionalization of Daily Soil Moisture Dynamics Using Wavelet-Based Multiscale Entropy and Principal Component Analysis

Entropy ◽  
2019 ◽  
Vol 21 (6) ◽  
pp. 548 ◽  
Author(s):  
Yuqing Sun ◽  
Jun Niu
Keyword(s):  
Principal Component Analysis ◽  
Soil Moisture ◽  
Large Scale ◽  
Hydrological Modeling ◽  
Simulated Data ◽  
Grid Cell ◽  
Principal Component ◽  
Component Analysis ◽  
Multiscale Entropy ◽  
Homogeneous Groups

Hydrological regionalization is a useful step in hydrological modeling and prediction. The regionalization is not always straightforward, however, due to the lack of long-term hydrological data and the complex multi-scale variability features embedded in the data. This study examines the multiscale soil moisture variability for the simulated data on a grid cell base obtained from a large-scale hydrological model, and clusters the grid-cell based soil moisture data using wavelet-based multiscale entropy and principal component analysis, over the Xijiang River basin in South China, for the period of 2002–2010. The effective regionalization, for 169 grid cells with the special resolution of 0.5° × 0.5°, produced homogeneous groups based on the pattern of wavelet-based entropy information. Four distinct modes explain 80.14% of the total embedded variability of the transformed wavelet power across different timescales. Moreover, the possible implications of the regionalization results for local hydrological applications, such as parameter estimation for an ungagged catchment and designing a uniform prediction strategy for a sub-area in a large-scale basin, are discussed.

Principal Component Analysis of the Spatiotemporal Pattern of Soil Moisture and Apparent Electrical Conductivity

2017 ◽  
Vol 16 (10) ◽  
pp. vzj2016.12.0129 ◽  
Author(s):  
Edoardo Martini ◽  
Ute Wollschläger ◽  
Andreas Musolff ◽  
Ulrike Werban ◽  
Steffen Zacharias
Keyword(s):  
Electrical Conductivity ◽  
Principal Component Analysis ◽  
Soil Moisture ◽  
Principal Component ◽  
Component Analysis ◽  
Spatiotemporal Pattern ◽  
Apparent Electrical Conductivity

Assessing spatial variability of SO2 field as detected by an air quality network using Self-Organizing Maps, cluster, and Principal Component Analysis

2009 ◽  
Vol 43 (25) ◽  
pp. 3829-3836 ◽  
Author(s):  
Gabriel Ibarra-Berastegi ◽  
Jon Sáenz ◽  
Agustín Ezcurra ◽  
Unai Ganzedo ◽  
Javier Díaz de Argandoña ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Air Quality ◽  
Spatial Variability ◽  
Principal Component ◽  
Component Analysis ◽  
Self Organizing Maps ◽  
Self Organizing

scholarly journals Multivariate analysis and geostatistics of the fertility of a humic rhodic hapludox under coffee cultivation

2012 ◽  
Vol 36 (2) ◽  
pp. 467-474 ◽  
Author(s):  
Samuel de Assis Silva ◽  
Julião Soares de Souza Lima
Keyword(s):  
Principal Component Analysis ◽  
Spatial Variability ◽  
Spatial Dependence ◽  
Saturation Index ◽  
Great Influence ◽  
Chemical Properties ◽  
Principal Component ◽  
Component Analysis ◽  
Information Loss ◽  
Coffee Cultivation

The spatial variability of soil and plant properties exerts great influence on the yeld of agricultural crops. This study analyzed the spatial variability of the fertility of a Humic Rhodic Hapludox with Arabic coffee, using principal component analysis, cluster analysis and geostatistics in combination. The experiment was carried out in an area under Coffea arabica L., variety Catucai 20/15 - 479. The soil was sampled at a depth 0.20 m, at 50 points of a sampling grid. The following chemical properties were determined: P, K+, Ca2+, Mg2+, Na+, S, Al3+, pH, H + Al, SB, t, T, V, m, OM, Na saturation index (SSI), remaining phosphorus (P-rem), and micronutrients (Zn, Fe, Mn, Cu and B). The data were analyzed with descriptive statistics, followed by principal component and cluster analyses. Geostatistics were used to check and quantify the degree of spatial dependence of properties, represented by principal components. The principal component analysis allowed a dimensional reduction of the problem, providing interpretable components, with little information loss. Despite the characteristic information loss of principal component analysis, the combination of this technique with geostatistical analysis was efficient for the quantification and determination of the structure of spatial dependence of soil fertility. In general, the availability of soil mineral nutrients was low and the levels of acidity and exchangeable Al were high.

A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Kirchberger ◽  
Finger ◽  
Müller-Bühl
Keyword(s):  
Principal Component Analysis ◽  
Intermittent Claudication ◽  
Completion Time ◽  
Short Form ◽  
Principal Component ◽  
Component Analysis ◽  
German Version ◽  
Average Completion Time ◽  
Sf 36 ◽  
Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbach’s alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbach’s alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

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