Spatial wombling is an approach for detecting edges within a defined two-dimensional landscape. This is achieved by calculating the rate and direction of change through the interpolation of points. This not only gives an approximation as to the shape of the landscape but can also be used to identify candidate boundaries cells that delimit a shift from one state to another within the landscape. Here we introduce the SpatialBoundaries.jl package for Julia, which has been developed to implement the wombling algorithm for datasets that are spatially referenced for both uniformly or randomly sampled landscapes. From a practical perspective, the wombling functionality allow the user to answer two questions: how much and in which direction does the variable of interest change within the landscape? Whereas the boundaries functionality identifies candidate boundary cells. We conclude by providing a working example of the package using the various woody plant layers for Britain and Ireland from the EarthEnv database.

中文翻译：

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SpatialBoundaries.jl：使用空间摆动的边缘检测

空间摆动是一种在定义的二维景观中检测边缘的方法。这是通过点插值计算变化率和方向来实现的。这不仅给出了景观形状的近似值，而且还可以用于识别候选边界单元格，这些单元格界定了景观中从一种状态到另一种状态的转变。在这里，我们介绍了 Julia 的 SpatialBoundaries.jl 包，该包的开发是为了为均匀或随机采样的景观在空间上参考的数据集实现摆动算法。从实用的角度来看，wombling 功能允许用户回答两个问题：感兴趣的变量在景观中变化了多少，朝哪个方向变化？而边界功能识别候选边界单元格。最后，我们提供了一个使用来自 EarthEnv 数据库的英国和爱尔兰的各种木本植物层的包的工作示例。