Here's the problem I'm struggling with:
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.
This is part of a time series analysis, where layer B comes from a model that tracks flow during the summer, while layer A comes from a model that can track winter under ice flow, which layer B's model cannot. This is part of a time series analysis, where layer B comes from a model that tracks flow during the summer, while layer A comes from a model that can track winter under ice flow, which layer B's model cannot. So at a certain point in my process, I'll need to switch from the summer points to the winter points.
Essentially, constant points need to be retained year round. The complexity comes from the switch in which model provides data, because when that switch occurs the geography of the points changes (due to how the models work differently from each other-beyond my control). Somehow the geography needs to stay the same though the models switch, whether that be to join one models point layer to the other, or to develop a new common grid.
Does anyone have suggestions for optimizing this process, or ideas I've failed to see/am not familiar with? I appreciate any help. I've attached some visual aids. Layer A, Layer B, and a possible goal I'm searching for.
I'm running ArcGIS 10.3 (prerelease) with Spatial Analyst.