首页> 外文期刊>Computers,environment and urban systems >Sensitivity of a common Land Use Cover Change (LUCC) model to the Minimum Mapping Unit (MMU) and Minimum Mapping Width (MMW) of input maps
【24h】

Sensitivity of a common Land Use Cover Change (LUCC) model to the Minimum Mapping Unit (MMU) and Minimum Mapping Width (MMW) of input maps

机译:公共土地利用覆盖变化(LUCC)模型的敏感性到输入映射的最小映射单元(MMU)和最小映射宽度(MMW)

获取原文
获取原文并翻译 | 示例
           

摘要

Input maps are one of the main sources of uncertainty in Land Use Cover Change (LUCC) models. Such models are usually raster-based. Although extensive research has assessed the impact of the scale of input raster data in the modelling exercise, few studies have focused on the scale of input vector maps. This paper aims to investigate the effect that the Minimum Mapping Unit (MMU) and Minimum Mapping Width (MMW) of input vector maps have on a specific modelling application. To this end, we have set up different exercises with two input maps (SIOSE and CORINE) that have different MMU and MMW. Results prove the influence of these components of the scale on the simulations produced by the models. Modelled changes and quantities vary depending on the input maps. The modelled pattern is, however, very similar, despite the big differences between the reference maps.
机译:输入地图是土地使用覆盖变化(LUCC)模型的主要不确定性源之一。这种模型通常是基于光栅的。虽然广泛的研究评估了输入光栅数据规模在建模运动中的影响,但很少有研究专注于输入矢量地图的规模。本文旨在研究输入向量映射的最小映射单元(MMU)和最小映射宽度(MMW)对特定建模应用程序的影响。为此,我们已经建立了不同的练习,其中有两个输入映射(Siose和Corine)具有不同的MMU和MMW。结果证明了这些组件对模型产生的模拟的影响。建模的变化和数量因输入映射而异。然而,建模模式非常相似,尽管参考图之间的差异很大。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号