地统计学
- 网络geostatistics;geostatistic;Geostatistical;Geo-statistics
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基于GIS和地统计学的作物需水量等值线图
Crop water requirement isoline based on GIS and geostatistics
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基于GIS和地统计学的低山茶园土壤肥力质量评价
Comprehensive evaluation of fertility quality in hilly tea plantation soils based on GIS and geostatistics
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基于GIS和地统计学的农田土壤养分空间变异性研究
Spatial Variability of Farmland Soil Nutrients Based on GIS and Geo-statistics
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基于地统计学和GIS的三峡库区土壤微量营养元素空间变异性研究
Geostatistics and GIS-based Spatial Distribution of Microelements in the Three Gorges Reservoir Area
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基于GIS的地统计学方法在土壤科学中的应用
Utilization of Geo-statistic with GIS in Soil Sciences
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基于地统计学与GIS的土壤重金属污染评价与预测
Pollution Assessement and Prediction of Heavy Metals in Soil Based on Geostatistics and GIS
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基于地统计学和GIS的低丘红壤养分空间变异及其分布研究&以龙游县低丘红壤为例
Spatial Variance and Distribution of Soil Nutrients in Hilly Area by Geo-statistic and GIS
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洞庭湖平原区土壤全磷含量地统计学和GIS分析
Geostatistical and GIS Analyses on Soil Total P in the Typical Area of Dongting Lake Plain
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基于地统计学和GIS的土壤和蔬菜重金属的环境质量评价
Evaluation on Environmental Quality of Heavy Metals in Soils and Vegetables Based on Geostatistics and GIS
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基于地统计学和GIS的福建省降雨侵蚀力空间格局
Study on the Spatial Pattern of Rainfall Erosivity Based on Geostatistics and GIS of Fujian Province
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基于地统计学和~(15)N技术的湿地土壤氮素空间运移理论探讨
A Theory Study on Soil Nitrogen Spatial Movement in Wetland Based on Geostatistics and ~ ( 15 ) N Trace Technique
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利用地统计学、GIS以及多元统计分析相结合的方法,对蒙顶山茶园土壤肥力质量进行了定量化综合评价研究。
A comprehensive evaluation of the soil fertility in Mengding Mountain was carried out with Geostatistics , GIS , and statistics methods .
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以GIS为工作平台利用地统计学等先进方法分析区城土壤养分的空间分异特征时精准施肥、保护生态环境和优化农业生产管理有着重要的意义。图3,表1,参9。
GIS will be a very useful working platform for spatial variability analysis of soil nutrients and precision agriculture and sustainability agricultural ecology .
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基于GIS与地统计学土壤养分空间变异特征研究&以辽宁省凌源市6乡镇为例
Spatial Variability of Soil Nutrients Based on GIS and Geostatistics & A Case Study of 6 Townships in Lingyuan City , Liaoning Province
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以甘肃省榆中县为研究区域,应用地统计学和GIS相结合的方法对该县的土壤有机质的空间变异性进行了分析。
Geostatistic method combined with GIS was applied to analyze the spatial variability of soil organic matter in Yuzhong County in Gansu Province as example .
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基于地统计学与支持向量回归的QSAR建模
A Novel QSAR Model Based on Geostatistics and Support Vector Regression
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通过对地统计学的研究和地理信息系统(GIS)软件的应用,提出了一种基于环境监测数据的估计近海有机物浓度分布的新方法。
A new methodology for estimation of organic substance concentration in coastal marine was proposed based on studies on geostatistics and geographic information system ( GIS ) software .
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在GIS的支持下,运用地统计学方法研究了苏南典型地区原锡山市土壤全Zn和有效Zn的空间分布特征,并简要分析了土壤全Zn和有效Zn含量与土壤颗粒组成之间的关系。
A geostatistics method combined with GIS was applied to the study of the spatial distribution of total soil Zn and available Zn in the typical area of southern Jiangsu province .
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结合GIS的地统计学技术作为研究土壤空间变异的重要工具,不同变量在不同取样尺度下插值分析空间估测结果是不一致的。
As a magnificent method in analyzing the spatial variation of soil , difference among the interpolations of different elements that being estimated at different sampling scales come up under the help of geostatistics with GIS .
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采用地统计学和GIS相结合的方法,研究了甘蔗连作19年(1980~1999年)的低丘陵红壤蔗区土壤有机质含量的时空变异特征。
Temporal and spatial changes of soil organic matter ( SOM ) content in the sugarcane field after 19-year interval ( from 1980 to 1999 ) were evaluated using geostatistics and geographic information system ( GIS ) .
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本文将地统计学和化学形态分级提取方法联合用于Cd的来源和污染风险研究,得出了一些较为新颖的结论。
In this dissertation , two ways , geo-statistics and the sequential extraction were used to research the sources and risk assessment of Cd . Some novel results were achieved from the two ways .
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在1:10万尺度下,利用土壤采样分析数据与DEM提取的海拔高度以及地统计学分析增城市水稻土土壤碱解氮的空间变异。
The spatial variety of soil available of paddy soil was analyzed by using soils sampled , geostatistics and altitude derived from DEM at the scale of1:100,000 in Zengcheng city .
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采用传统地统计学与地理信息系统(GIS)软件相结合,达到了对底泥养分从定性到定量的全面分析,可以准确地了解研究区域具体每一点位的营养状况。
Combined two kinds of software the traditional statistics and geographic information system , it can make the nutrients of sediment achieve comprehensive analysis from the qualitative to quantitative , accurately understanding research area nutritional status of every point .
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本文以RS、GIS为技术平台,综合运用地统计学、生态水文学的理论基础,重点分析了干旱区地下水位降幅对天然植被退化过程的影响。
In this dissertation , by using RS , GIS technology , synthesizing theory of Geostatistics and ecology hydrology , the effects of the depth downrange of groundwater on nature vegetation degeneration in arid area are analyzed .
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说明使用GIS和地统计学方法可正确、直观地反映沉积物重金属的污染状况,为其在滩涂增养殖区污染评价中的实际运用提供了思路。
It proved that the use of GIS and geostatistics methods could reflect the situation of the heavy metals pollution in sediments correctly and intuitively . Thus , it provided a guideline for the practical application of the heavy metal pollution assessments .
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在GIS技术支持下,利用地统计学方法系统地研究了基于村级土壤养分采样点实现村级土壤养分管理的可行性,并给出村级土壤养分管理的概念模型和实现方法。
The feasibility of village - level soil nutrient management is analyzed based on system study of soil nutrient sample point using geostatistics method supported by GIS technology , then village - level soil nutrient management conceptual model and its realization method is shown .
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在我国东南5省选择6个代表性区域(自然村),采用ASI和地统计学等方法对耕作土壤的有效Ca、Mg、S和Zn的空间变异性与合理取样数量进行了研究。
Based on the data from 6 natural villages of 5 provinces in southeast China , the spatial variability and rational sampling strategy of soil available Ca , Mn , S and Zn was studied using ASI method and Geo-statistics .
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运用地统计学、Kriging插值理论,对样点数据进行分析,确定不同土壤养分指标的空间变异特征,确定合理的取样个数。
Using geo-statistics and kriging interpolation , analyzing data of sample point , we educed spatial variability character of soil nutrient index , and made certain rational number of sampling points . 4 .
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根据成都平原区117个样点的调查资料,采用GIS与地统计学结合的方法,研究成都平原土壤磷素及其影响因素,包括土壤颗粒组成、有机质和pH值等土壤性质的空间变异特性。
Based on the survey data of 117 sampling points in Chengdu Plain , the spatial variability of soil phosphorus and its influential factors , including soil particle composition , organic matter , and pH were studied by coupling geographic information system ( G1S ) with geostatistics .
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主要的研究结果如下:1.基于GIS的地统计学方法能够很好地描述土壤养分的空间变异规律,考虑地形地貌条件的分区研究对土壤养分的空间变异结构性与分布格局表达的效果更佳。
The main results are as follows : 1 . The geostatistics method based on GIS can fairly represent the rule of soil nutrient spatial variance . The regional research that considers the terrain conditions can better reflect the spatial variance structural and distribution pattern of soil nutrients .