An R package for spatial statistical modeling and prediction on stream networks, including models based on in-stream distance (Ver Hoef and Peterson 2010). The covariance models account for the unique spatial relationships found in streams and rivers, such as the branching network structure, longitudinal connectivity, flow volume and flow direction. Spatial linear models, including predictors, can be fit with (restricted) maximum likelihood. In addition, traditional models that use Euclidean distance and simple random effects are included, along with Poisson and binomial families, for a generalized linear mixed model framework. Simulation, plotting and diagnostic functions are provided. Prediction (kriging) can be performed for missing data or for a separate set of unobserved locations, or block prediction (block kriging) can be used over sets of stream segments.
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R package used to compute spatially explicit land-use metrics for stream survey sites in GRASS GIS and R as an open-source implementation of IDW-PLUS (Inverse Distance Weighted Percent Land Use for Streams) custom toolset for ArcGIS. The package includes functions for preprocessing digital elevation model and streams data, and one function to compute all the spatially explicit land use metrics described in Peterson et al. (2011) doi:10.1111/j.1365-2427.2010.02507.x and previously implemented by Peterson and Pearse (2017) doi:10.1111/1752-1688.12558 in ArcGIS-Python as IDW-PLUS.
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