I have a point file of trees in my study area, which includes the attributes of each tree. Each tree also has a crown radius associated with it. I need to summarize the attributes of these points into a 5-meter raster file. The 5-meter raster file orientation is defined by a 5-meter fishnet.
I would like a suggestion as to which method is the most statistically robust.
One method I thought might work is:
For a given 5 X 5 meter cell, take the area of each crown that occupies a cell and multiply it by the attribute of interest. Do this for each crown and sum these values and divide by the total area of crown occupying the given cell.
i.e.
Let the shape i be have the value of some attribute of the Tree �?� say Crown bulk density, (CBDi ) Then the value of the grid cell X = sum(CBDi * Ai) / sum (Ai) where Ai is the area of each crown within the cell.
Another simple method:
Do a point to raster and calculate the mean value and snap the raster to
Thanks in advance for any help!
[ATTACH=CONFIG]22653[/ATTACH]
