I have two different point layers, where points represent centroids of areas covering a stream segment. One layer (lets call it layer A) is coarser, with fewer point (each point represents a larger area), then layer B. There is no commonality between how the points are distributed, except for the boundaries. Each layer contains multiple attributes (ex. depth, velocity, areas). I want to create a common grid, but I'm hesitant about rasterizing this data, as I need to retain the multiple attributes.
I have tried converting each set of points to voronoi diagrams, then spatially joining layer A to layer B, and converting back to points, but there have been problems retaining area values required.
Also I have joined layer B's voronoi areas to layer A's points. This gives me layer B's areas in terms of layer A's points, but leaves holes in the coverage.
Ideally, I'd like layer A to fit within layer B, or have a new mesh fitted to the stream segment that both these layers can be applied to.
Does anyone have suggestions for optimizing this process, or ideas I've failed to see/am not familiar with?
I've included pictures of the point layers, as well as a visual goal.
Layer A picture
Layer B picture
I'm using ArcGIS 10.3 with Spatial Analyst, and QGIS 2.4 Chugiak.