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首页> 外文期刊>Computers and Electronics in Agriculture >Integrated geo-referenced data and statistical analysis for dividing livestock farms into geographical zones in the Valencian Community (Spain)
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Integrated geo-referenced data and statistical analysis for dividing livestock farms into geographical zones in the Valencian Community (Spain)

机译:集成的地理参考数据和统计分析,用于将畜牧场划分为巴伦西亚自治区(西班牙)的地理区域

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摘要

The livestock sector in the Valencian Community (Spain) has experienced an increase in the intensity of farming with an increase in the number and size of pig and poultry facilities. The absence of previous environmental requirements in this region has produced a high concentration of facilities in some areas, and urban sprawl has resulted in many farms located in problematic areas close to villages or towns, residential areas and protected areas. Conflicts surrounding land use and environmental issues have been a problem in the region for many years. The initial step to solve this problem is to produce a territorial planning system to intervene and correct the current development and adapt to new European environmental regulations. The objectives of this study are to group farms with homogeneous characteristics in the Valencian Community and to characterise and search for spatial dependency patterns within the livestock sector. These objectives have the final aim of contributing basic scientific information to subsequent administrative planning decisions for livestock. This study presented methodology based on Geographic Information Systems and statistical methods for dividing livestock farms into zones and for characterising these areas. We obtained nineteen livestock geographical areas with unique characteristics (such as livestock species composition) and verified that these areas did not follow a spatial pattern. (C) 2015 Elsevier B.V. All rights reserved.
机译:巴伦西亚自治区(西班牙)的畜牧部门的耕作强度有所提高,生猪和家禽设施的数量和规模也有所增加。该地区以前没有环保要求,因此某些地区的设施高度集中,城市蔓延导致许多农场位于村庄或城镇,居民区和保护区附近的问题地区。多年来,围绕土地使用和环境问题的冲突一直是该地区的问题。解决此问题的第一步是建立一个领土规划系统,以干预和纠正当前的发展并适应新的欧洲环境法规。这项研究的目的是对巴伦西亚自治区具有同质性特征的农场进行分组,并确定和寻找畜牧业内部的空间依赖性模式。这些目标的最终目的是为随后的牲畜行政规划决策提供基本的科学信息。这项研究提出了基于地理信息系统和统计方法的方法,该方法用于将畜牧场划分为区域并表征这些区域。我们获得了19个具有独特特征(例如牲畜物种组成)的牲畜地理区域,并验证了这些区域没有遵循空间格局。 (C)2015 Elsevier B.V.保留所有权利。

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