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Multi-Scale Landscape Analysis (MSLA) - A method to identify correlation of relief with ecological point data

机译:多尺度景观分析(MSLA)-一种识别地形与生态点数据相关性的方法

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摘要

A common problem in ecology is identifying the relationship between relief and site properties obtainable only by point measurements. The method of Multi-Scale Landscape Analysis (MSLA) identifies such correlations. MSLA combines frequency filtering of the digital elevation model (DEM) with an estimation of the optimum filter coefficients using an optimization procedure. Tested using point data of soil decarbonation from a German young moraine landscape, MSLA provided significant results. Implemented within open source software SAMT, MSLA is comfortable and flexible to use, offering applications for numerous other spatial analysis problems.
机译:生态学中的一个普遍问题是确定仅通过点测量即可获得的地貌与地物之间的关系。多尺度景观分析(MSLA)方法可识别此类相关性。 MSLA使用优化程序将数字高程模型(DEM)的频率滤波与最佳滤波器系数的估算结合在一起。使用德国年轻冰ora地区土壤脱碳的点数据进行测试,MSLA提供了重要的结果。 MSLA在开源软件SAMT中实现,使用起来舒适,灵活,可为其他许多空间分析问题提供应用程序。

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