Spatial Scaling Programs
Spatial Scaling Programs
This homepage contains the data and programs used in the following paper: Biondini, M.E.
1996. A non-parametric multivariate method for the analysis of landscape spatial patterns. J.Agr.
Biol, and Env. Stat. (under review). Send any comments you have to biondini@plains.nodak.edu
Program List:
One dimension Spatial Analysis Programs
The file Sp_An_1D contains the programs and documentation to implement the 1D statistical
methods for the analysis of spatial patterns as a function of grain. The file also contains examples
of data inputs and outputs. The file is a self-extracted compressed file. To extract the contents
change the file extension from *.bin to *.exe and double click it from the File Manager window.
NOTE: Make sure you read the documentation file ( one_dim.txt) before you use the programs.
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Two dimension Spatial Analysis Programs
The file Sp_An_2D contains the programs and documentation to implement the 2D statistical
methods for the analysis of spatial patterns as a function of grain. The file also contains examples
of data inputs and outputs. The file is a self-extracted compressed file. To extract the contents
change the file extension from *.bin to *.exe and double click it from the File Manager window.
NOTE: Make sure you read the documentation file ( two_dim.txt) before you use the programs.
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Data Files
The file Data contains the data, in a lotus spreadsheet format, used in the Biondini, M.E. 1996.
Uses of multi-response permutation procedures in the analysis of spatial patterns. J.Agr. Biol,
and Env. Stat. (under review). The file is a self-extracted compressed file. To extract the
contents change the file extension from *.bin to *.exe and double click it from the File Manager
window.
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MRPP and MRBP Programs
The file MRPPS contains programs, documentation, and examples for the MRPP and MRBP
statistical methods. The file is a self-extracted compressed file. To extract the contents change
the file extension from *.bin to *.exe and double click it from the File Manager window. For
details about the methods in question see:
Biondini, M.E., P.W. Mielke, and K.J. Berry. 1988. Data dependent permutation for the analysis
of ecological data. Vegetatio 75:161-168.
Biondini, M.E., P.W. Mielke, and E.F. Redente. 1991. Permutation techniques based on
euclidian analysis spaces: a new and powerful statistical method for ecological research. IN: E.
Feoli and L. Orloci (eds.). Computer Assisted Vegetation Analysis. pp 221-240. Kluwer
Academic Publishers. The Netherlands.
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