  Analysing data from Smoothed Particle Hydrodynamics (SPH) simulations is
about understanding global fluid properties rather than individual fluid
elements. Therefore, in order to properly understand the outcome of such
simulations it is crucial to transition from a particle to a grid based
picture. In this paper we briefly summarise different methods of calculating a
representative volume discretisation from SPH data and propose an improved
version of commonly used techniques. We present a possibility to generate
accurate 2D data directly without the CPU time and memory consuming detour over
a 3D grid. We lay out the importance of an accurate algorithm to conserve
integral fluid properties and to properly treat small scale structures using a
typical galaxy simulation snapshot. For demonstration purposes we additionally
calculate velocity power spectra and as expected find the main differences on
small scales. Finally we propose two new multi-purpose analysis packages which
utilise the new algorithms: Pygad and SPHMapper.
