Modeling Complex Spatial Dependencies: Low-Rank Spatially Varying Cross-Covariances With Application to Soil Nutrient Data

2013 ◽  
Vol 18 (3) ◽  
pp. 274-298 ◽  
Author(s):  
Rajarshi Guhaniyogi ◽  
Andrew O. Finley ◽  
Sudipto Banerjee ◽  
Richard K. Kobe
2011 ◽  
Vol 255-260 ◽  
pp. 3018-3021
Author(s):  
Bing Chen Fan

By a method of discriminate analysis, the content of organic matter, alkali hydrolyzadle nitrogen, rapidly available phosphate, rapidly available potassium were used as the identification factors, and soil nutrient data and grain output were analysed. The results of the analysis has indicated that discriminate analysis can determine grades of the soil fertility. The fitting rate was over 80% , and that accuracy of forecast was right. This new method may be tried for determining grades of the soil fertility.


2012 ◽  
Vol 170-173 ◽  
pp. 923-927
Author(s):  
Lei Zhang ◽  
Yan Yun Wang ◽  
Wen Bao Liu

In this article, with rich production of Chinese gooseberry in Zhouzhi County of Shaanxi Province as an example, conducted an application of GIS based soil fertilization management. First, soil nutrient data (9 kinds) is interpolated as raster with GIS methods; then nutrient level is graded, and composite nutrient level is graded. At last, composite evaluation model, output-fertilize model is constructed. This method is a successful application of GIS based data management and spatial analysis in the use of soil fertilization management, and make soil nutrient data management with raster and soil nutrient data composite analysis as reality. So it is a useful request and is meaningful in theory and application realm.


2019 ◽  
Author(s):  
Parmanand Sinha ◽  
Prashant Das ◽  
Julia Freybote ◽  
Roland Fuess

2020 ◽  
Vol 7 (1) ◽  
pp. 21
Author(s):  
Faradina Marzukhi ◽  
Nur Nadhirah Rusyda Rosnan ◽  
Md Azlin Md Said

The aim of this study is to analyse the relationship between vegetation indices of Normalized Difference Vegetation Index (NDVI) and soil nutrient of oil palm plantation at Felcra Nasaruddin Bota in Perak for future sustainable environment. The satellite image was used and processed in the research. By Using NDVI, the vegetation index was obtained which varies from -1 to +1. Then, the soil sample and soil moisture analysis were carried in order to identify the nutrient values of Nitrogen (N), Phosphorus (P) and Potassium (K). A total of seven soil samples were acquired within the oil palm plantation area. A regression model was then made between physical condition of the oil palms and soil nutrients for determining the strength of the relationship. It is hoped that the risk map of oil palm healthiness can be produced for various applications which are related to agricultural plantation.


2014 ◽  
Vol 59 (2) ◽  
pp. 509-516
Author(s):  
Andrzej Olajossy

Abstract Methane sorption capacity is of significance in the issues of coalbed methane (CBM) and depends on various parameters, including mainly, on rank of coal and the maceral content in coals. However, in some of the World coals basins the influences of those parameters on methane sorption capacity is various and sometimes complicated. Usually the rank of coal is expressed by its vitrinite reflectance Ro. Moreover, in coals for which there is a high correlation between vitrinite reflectance and volatile matter Vdaf the rank of coal may also be represented by Vdaf. The influence of the rank of coal on methane sorption capacity for Polish coals is not well understood, hence the examination in the presented paper was undertaken. For the purpose of analysis there were chosen fourteen samples of hard coal originating from the Upper Silesian Basin and Lower Silesian Basin. The scope of the sorption capacity is: 15-42 cm3/g and the scope of vitrinite reflectance: 0,6-2,2%. Majority of those coals were of low rank, high volatile matter (HV), some were of middle rank, middle volatile matter (MV) and among them there was a small number of high rank, low volatile matter (LV) coals. The analysis was conducted on the basis of available from the literature results of research of petrographic composition and methane sorption isotherms. Some of those samples were in the form (shape) of grains and others - as cut out plates of coal. The high pressure isotherms previously obtained in the cited studies were analyzed here for the purpose of establishing their sorption capacity on the basis of Langmuire equation. As a result of this paper, it turned out that for low rank, HV coals the Langmuire volume VL slightly decreases with the increase of rank, reaching its minimum for the middle rank (MV) coal and then increases with the rise of the rank (LV). From the graphic illustrations presented with respect to this relation follows the similarity to the Indian coals and partially to the Australian coals.


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