李卫江, 吴永兴, 茅国芳. 基于WebGIS与模型的农业经济监测与评价系统的建立[J]. 农业工程学报, 2010, 26(5): 213-219.
    引用本文: 李卫江, 吴永兴, 茅国芳. 基于WebGIS与模型的农业经济监测与评价系统的建立[J]. 农业工程学报, 2010, 26(5): 213-219.
    Development of information system for investigation and evaluation of economic situation of regional agriculture based on WebGIS and models[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(5): 213-219.
    Citation: Development of information system for investigation and evaluation of economic situation of regional agriculture based on WebGIS and models[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(5): 213-219.

    基于WebGIS与模型的农业经济监测与评价系统的建立

    Development of information system for investigation and evaluation of economic situation of regional agriculture based on WebGIS and models

    • 摘要: 为动态、准确获取区域农业生产的投入结构、产出水平、经济效益等信息,在时空数据库支持下,以开源SharpMap为地图服务器,利用ASP.NET(C#)语言,建立农业经济监测与评价系统(SHAEWS),SHAEWS的构建包括农业投入产出监测数据库和模型系统两部分。数据库由样本农户动态监测数据、地形图数据和元数据组成。模型系统包含作物数据聚合与分析模型、轮作茬口识别及数据聚合分析模型、柯布-道格拉斯模型和综合评价模型。SHAEWS包括样本数据采集与编辑、样本数据检验、作物评价、茬口评价、投入产出定量模型分析、时序分析、区域分析、报表输出、元数据浏览等9个功能子系统。结果表明,该系统能够把样本监测数据与地图数据相结合,并通过模型运算,实现区域农业投入产出等信息的在线共享、评价与服务。

       

      Abstract: In order to dynamically and accurately obtain the information of input structure, output level, and economic benefits of regional agriculture production, based on the spatial-temporal database and the open source map server of SharpMap, the WebGIS-based information system for investigation and evaluation of economic situation of regional agriculture (SHAEWS) was developed with ASP.NET(C#). The construction of SHAEWS was divided into two parts: agricultural input-output database and model system. The database was composed of sample monitoring data, relief map data and metadata. The model system covered crop data analysis and aggregation model, crop stubbles extraction and analysis model, Cobb-Douglas production model, and comprehensive evaluation model, etc. SHAEWS included nine functional subsystems named as sample data acquisition, sample data examination, crops evaluation, crop stubble evaluation, crops input-output simulation with Cobb-Douglas production function, time series analysis, spatial analysis, data report, and metadata browsing, respectively. The results show that SHAEWS can combine sample monitoring data with map data and through relevant model calculations, can achieve the on-line sharing, analysis, evaluation and consultant service of agricultural input-output information.

       

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