Interpolation methods in ArcGIS_ESRI Geostatistical Analyst tool allow obtaining unknown values at unsampled points from observed data and generating continuous surfaces. In this paper, forest data variables as tree h...Interpolation methods in ArcGIS_ESRI Geostatistical Analyst tool allow obtaining unknown values at unsampled points from observed data and generating continuous surfaces. In this paper, forest data variables as tree height and diameter measured in two plots in Central Mountains in Spain. These data were georeferenced to obtain maps that can visualize the spatial variability of these forest variables. In order to evaluate the best interpolation method that could adequately explain the spatial variability of those variables, two interpolation methods were studied： inverse results was made by means of statistical methods to analyze distance weighted （IDW） and Ordinary Kriging （OK）. A comparison of residuals. Results with the kriging method were slightly better.展开更多
Macroscopic anomalies from"Earthquake Cases in China"are statistically analyzed in this paper. The conclusion is as follows: The probability of occurrence of macroscopic anomalies before earthquakes increase...Macroscopic anomalies from"Earthquake Cases in China"are statistically analyzed in this paper. The conclusion is as follows: The probability of occurrence of macroscopic anomalies before earthquakes increases with magnitude. The larger the earthquake magnitude, the more macroscopic anomalies appear. The temporal distribution of macroscopic anomalies is as follows: There are few macroscopic anomalies at beginning; as time goes on,the number of macroscopic anomalies increases; the increase of macroscopic anomaly quantity accelerates with the impending earthquake and reaches a climax when the earthquake breaks out. The spatial distribution pattern of macroscopic anomalies is as follows: macroscopic anomalies appear at the epicenter at the beginning,then spread out,and finally arise explosively at the epicenter area.展开更多
Hani rice terraces system is one of the Globaly Important Agricultural Heritage Systems （GIAHS） pilot sites selected by FAO. Soil nutrients are an important symbol of soil fertility, and play an important role in th...Hani rice terraces system is one of the Globaly Important Agricultural Heritage Systems （GIAHS） pilot sites selected by FAO. Soil nutrients are an important symbol of soil fertility, and play an important role in the sustainable utilization of land. Based on geo-statistics and GIS, the spatial variation of pH, organic matter, total nitrogen, alkaline hydrolyzable nitrogen, available phosphorus and available potassium in the soil in Yisa （a town in Honghe County, Yunnan Province） was studied. The results show that the spatial variability of pH, organic matter, total nitrogen, alkaline hydrolyzable nitrogen and available potassium exhibited medium spatial variability, and the coefficients of variation are 12.54%, 40.14%, 40.00%, 34.89%, and 40.00% respectively. Available phosphorus exhibited strong spatial variability, and the coefifcient of variation is 102.13%. The spatial variation of pH, organic matter, total nitrogen, alkaline hydrolyzable nitrogen and available potassium fit the index mode, however, the spatial variation of available phosphorus ifts the spherical model. Total nitrogen, available phosphorus and available potassium were greatly affected by soil structural factors, while pH, organic matter and alkaline hydrolyzable nitrogen were affected by both structural and random factors. The spatial distribution of soil nutrients in Yisa was intuitively characterized by Kriging interpolation. It is very important to understand the spatial distribution of soil nutrients, which wil provide the guidance for adjusting agricultural management measures such as fertilization.展开更多
文摘Interpolation methods in ArcGIS_ESRI Geostatistical Analyst tool allow obtaining unknown values at unsampled points from observed data and generating continuous surfaces. In this paper, forest data variables as tree height and diameter measured in two plots in Central Mountains in Spain. These data were georeferenced to obtain maps that can visualize the spatial variability of these forest variables. In order to evaluate the best interpolation method that could adequately explain the spatial variability of those variables, two interpolation methods were studied： inverse results was made by means of statistical methods to analyze distance weighted （IDW） and Ordinary Kriging （OK）. A comparison of residuals. Results with the kriging method were slightly better.
基金This project was sponsored by the National Science&Technology Pillar Program of China(2012BAK19B04-05)"Monitoring,Prediction and Research"Three Combinations Subject of China Eanthquake Administration(151503)
文摘Macroscopic anomalies from"Earthquake Cases in China"are statistically analyzed in this paper. The conclusion is as follows: The probability of occurrence of macroscopic anomalies before earthquakes increases with magnitude. The larger the earthquake magnitude, the more macroscopic anomalies appear. The temporal distribution of macroscopic anomalies is as follows: There are few macroscopic anomalies at beginning; as time goes on,the number of macroscopic anomalies increases; the increase of macroscopic anomaly quantity accelerates with the impending earthquake and reaches a climax when the earthquake breaks out. The spatial distribution pattern of macroscopic anomalies is as follows: macroscopic anomalies appear at the epicenter at the beginning,then spread out,and finally arise explosively at the epicenter area.
基金National Natural Science Fund of China(31200376)
文摘Hani rice terraces system is one of the Globaly Important Agricultural Heritage Systems （GIAHS） pilot sites selected by FAO. Soil nutrients are an important symbol of soil fertility, and play an important role in the sustainable utilization of land. Based on geo-statistics and GIS, the spatial variation of pH, organic matter, total nitrogen, alkaline hydrolyzable nitrogen, available phosphorus and available potassium in the soil in Yisa （a town in Honghe County, Yunnan Province） was studied. The results show that the spatial variability of pH, organic matter, total nitrogen, alkaline hydrolyzable nitrogen and available potassium exhibited medium spatial variability, and the coefficients of variation are 12.54%, 40.14%, 40.00%, 34.89%, and 40.00% respectively. Available phosphorus exhibited strong spatial variability, and the coefifcient of variation is 102.13%. The spatial variation of pH, organic matter, total nitrogen, alkaline hydrolyzable nitrogen and available potassium fit the index mode, however, the spatial variation of available phosphorus ifts the spherical model. Total nitrogen, available phosphorus and available potassium were greatly affected by soil structural factors, while pH, organic matter and alkaline hydrolyzable nitrogen were affected by both structural and random factors. The spatial distribution of soil nutrients in Yisa was intuitively characterized by Kriging interpolation. It is very important to understand the spatial distribution of soil nutrients, which wil provide the guidance for adjusting agricultural management measures such as fertilization.
