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首页> 外文期刊>WSEAS Transactions on Environment and Development >Support system based on GIS and weighted sum method for drawing up of land suitability map for agriculture - Application to durum wheat cultivation in the region of Tiaret in Algeria
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Support system based on GIS and weighted sum method for drawing up of land suitability map for agriculture - Application to durum wheat cultivation in the region of Tiaret in Algeria

机译:基于GIS和加权和法的农业土地适宜性图支持系统-阿尔及利亚提亚雷特地区硬粒小麦的应用。

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Due to the observed decreasing farmlands, it is important to identify the best lands useful for a sustainable agriculture (a productive and profitable agriculture that protects the environment and that is socially equitable). This identification is resulted in the development of land suitability maps for agriculture by combining several factors of various natures and of unequal importance. Spatial analysis approaches, based on the concepts of the weighted sum, combined with a Geographical Information System (GIS) offer the possibility to determine this type of maps. Indeed, GIS is a powerful tool for analyzing spatial data and establishing a process for decision support. The functions of the weighted sum shall make it possible to assign numerical weights, to distinguish between positive and negative criteria and to rank alternatives. A spatial decision support system has been developed for establishing the land suitability map for agriculture. It incorporates a version of the weighted sum method SAW (Simple Additive Weighting), applicable to the vector data model, in ArcGIS without leaving the GIS program package environment. This approach has been tested on Tiaret (Algeria) to assess the land suitability for the durum wheat agriculture. The parameters and the classification system used in this work are inspired from the FAO (Food and Agriculture Organization) approach dedicated to a sustainable agriculture. The coherence of results confirms the system effectiveness.
机译:由于观察到的耕地减少,因此重要的是确定对可持续农业有用的最佳土地(保护环境,社会公平的生产性和盈利性农业)。通过结合多种性质和重要性不等的因素,确定了农业土地适宜性图。基于加权和的概念的空间分析方法与地理信息系统(GIS)相结合,为确定此类地图提供了可能性。确实,GIS是用于分析空间数据并建立决策支持过程的强大工具。加权和的功能应使得可以分配数字权重,区分正负准则以及对替代项进行排名。已经开发了空间决策支持系统,用于建立农业土地适宜性图。它合并了适用于矢量数据模型的加权总和方法SAW(简单加法加权)的一种版本,该方法适用于ArcGIS中的矢量数据模型,而无需离开GIS程序包环境。此方法已在提亚雷特(阿尔及利亚)进行了测试,以评估硬粒小麦农业的土地适宜性。这项工作中使用的参数和分类系统的灵感来自致力于可持续农业的粮农组织(粮食及农业组织)方法。结果的一致性证实了系统的有效性。

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