I am not in the commercial software business, but recognize the need for a tool like Programita for scientists to assist in research on spatial point pattern analysis. I produced the Programita software in my spare time to foster the analysis of point patterns in ecology and to provide ecologists with a tool that contains null models and procedures not supported by most statistical packages, but which are essential for a thorough analysis of point-patterns. I have done my best to provide in the documentation complete, step-by-step instructions for the variety of analysis you can conduct with Programita, but the user is responsible for acquiring the necessary background knowledge to appropriately use the software.
The Programita software may be downloaded and used free of charge for purposes of scientific research and teaching. However, please do not distribute the link, Programita or the manual. Any commercial application of the program requires the previous permission by the author. Programita is provided “as is” without warranty of any kind. In no event will the authors be liable for any damages, including lost profits, lost savings, or other incidental or consequential damages arising from the use of or the inability to use this software.
Publications using Programita must acknowledge use of Programita and include the following citations:
Wiegand T., and K. A. Moloney 2004. Rings, circles and null-models for point pattern analysis in ecology. Oikos 104: 209-229.
Wiegand T., and K. A. Moloney 2014. A handbook of spatial point pattern analysis in ecology. Chapman and Hall/CRC press, Boca Raton, FL.
if analysis of objects with finite size and real shape is used:
Wiegand, T., Kissling, W.D., Cipriotti, P.A., and Aguiar, M.R. 2006. Extending point pattern analysis to objects of finite size and irregular shape. Journal of Ecology 94: 825-837
if cluster processes are used:
Wiegand, T, A. Huth., and I. Martínez. 2009. Recruitment in tropical tree species: revealing complex spatial patterns. The American Naturalist 174: E106 – E140
if random labeling analysis is used
Jacquemyn, H., P. Endels, O. Honnay, and T. Wiegand. 2010. Evaluating management interventions in small populations of a perennial herb Primula vulgaris using spatio-temporal analyses of point patterns. Journal of Applied Ecology 47: 431–440
if phylogenetic mark correlation functions are used:
Shen, G., T. Wiegand, X. Mi, and F. He 2013. Quantifying spatial phylogenetic structures of fully mapped plant communities. Methods in Ecology and Evolution 4: 1132-1141