Hi Joel,

What is the version of the control you're currently using? - a size of 950x250 for the grid surface should not be problem - the 2014 release handles 1M data points easily and we plan to improve it even further. Also can you post a screenshot of the chart you display currently so that we recommend a different approach if possible?

Best Regards,
Nevron Support Team

Hi,

I'm looking for the best type of serie / chart to use to display a 3D representation of  a warehouse containing raw material.

As data source, I have a scanner that gives me slices of the warehouse in form of polar coordinates. I can easily convert this to cartesian coordinates and knowing the position of each slice I have all 3 coordinates of each point.

I made some tests with a NGridSurfaceSeries on a NCartesianChart and I understood that I must use a grid and place each point on the grid with the serie.Data.SetValue(x, z, elevation) with x and z being integer values and elevation a double or DBNull value. 
So I made an interpolation of each point to find the ones matching with the grid resolution before placing them on the grid.

The area measured is 98m x 25m with a height between 0 and 25m, and if I initialize my grid with serie.Data.SetGridSize(98, 25) then I'm not precise enough so I decided to use a higher resolution (0.1 m instead of 1m) but then the graph is extremely slow (I have rotation and zoom tools on it and with 0.1 resolution the whole software is freezing as soon as I try to rotate the graph).

What would you suggest? Choosing another kind of serie (which would maybe allow me to input raw cartesian data without needing to interpolate each coordinate by myself before adding them to the graph)?

Thank you very much for any kind of help,

Best regards,

Joël