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In order to predict pork prices and its trend, early-warning model based on the BP neural networks was established to protect the interest of producers of pigs and consumers. The programming of C# and MATLAB 2008b was mixed in implementation early-warning system of pork prices. C# realized man-machine interface of early-warning system and database operation, the training and simulation data of neural...
The main objective of this study was to make a pollution regionalization of soil heavy metals in A city, an area with rapid economic development in Yangtze River Delta of China. Therefore, the spatial distribution of soil heavy metals was firstly estimated by optimal space method using 126 data points and performed using ArcGIS9.2 software. The areas of different content grade were computed by overlay...
The aim of this study was to analyze the density of larch samples using near-infrared (NIR) spectroscopy. A multivariate analysis (MVA) method of principal component regression (PCR) was applied to the NIR spectroscopy of the samples. Using PCR method, correlation coefficients was 0.954 for the calibration model and 0.911 for the validation model with standard error of calibration (SEC) and standard...
The paper is to reveal influential factors and the marginal role of the urban residential land price in order to provide guidance for making policies of scientific urban land use by GWR (geographically weighted regression) model, and then displays the spatial distribution of the marginal role of factors by GIS(geographic information system) drawing tools. As shown by research results, the marginal...
The effect of land use pattern on the heavy metals (HMs) distribution in soil profiles was investigated in Yixing City, China, for the four typical types of land utilization, i.e. vegetable fields on the plain, paddy fields, tea gardens on hilly lands and bamboo groves. The variance of HMs concentration in the depth of 0–15 cm, 15–30 cm, 30–60 cm of soil profiles was compared among the different tillage...
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