The C++ implementation of MPI/OpenMP parallel Ripley's K function for point pattern analysis on spatial big data. The pure OpenMP version is in the 'spp_openmp' directory and the MPI/OpenMP version in the 'spp_mpi' directory. Find more detail about the code in this paper: http://www.tandfonline.com/eprint/5bCbgNcnCTjhniHED4Et/full.
Ubuntu OS, with OpenMPI installed to run the MPI/OpenMP version.
Copyright 2015 Guiming Zhang. Distributed under GNU General Public License (GPL) license.
Guiming Zhang, Qunying Huang, A-Xing Zhu & John H. Keel (2016)Enabling point pattern analysis on spatial big data using cloud computing: optimizing and accelerating Ripley’s K function, International Journal of Geographical Information Science,30(11):2230-2252. DOI: 10.1080/13658816.2016.1170836 [Full text: http://www.tandfonline.com/eprint/5bCbgNcnCTjhniHED4Et/full]
Guiming Zhang (gzhang45@wisc.edu)