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Proposal: library of convolution kernels #268
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The first function there is to create a distance-based kernel. Untested, but linting passes. RE:natcap#268
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These _should_ work, but there's still a need to test them and make sure that they cover all the edge cases we're using in InVEST. RE:natcap#268
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Working on this in my fork at |
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Also adding max_dist to locals exposed during eval. RE:natcap#268
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I remember GDAL issuing a warning a long time ago if no SRS was defined, but that no longer seems to be the case. Both GDAL and QGIS seem to have decided that the SRS doesn't matter any longer. This commit removes the spatial metadata information from kernel creation. RE:natcap#268
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Needed for the InVEST Stormwater model. RE:natcap#268
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pygeoprocessing.convolve_2d
has some pretty stringent requirements for how a kernel must be formatted (must be a spatial raster, best if it's tiled, spatial reference needs to be set, but it doesn't matter what it is), and so just formatting your kernel correctly is a pretty high bar beforeconvolve_2d
can even be used.I propose:
pygeoprocessing.kernels
containing kernel-related utilitiespygeoprocessing.kernels
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