Download Programita - Thorsten Wiegand

THORSTEN WIEGAND
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Contents
Programita.............................................................................................................5
Abstract ..............................................................................................................5
Before starting Programita ................................................................................5
Hardware requirements ..................................................................................5
Terms of use and copyright agreement ..........................................................6
Installation......................................................................................................6
Screen size......................................................................................................7
A quick start .......................................................................................................8
Execute Programita .......................................................................................8
Load a settings file to redo an analysis ..........................................................8
What happens on the screen? .........................................................................9
Show results of previous analyses ...............................................................10
Save the results of the analysis ....................................................................11
Temporary data-files ....................................................................................12
The input data files (*.dat and *.asc data files)................................................14
Preparation of data under matrix-mode .......................................................15
Format of the *.dat matrix data file..............................................................16
The Settings Menu for Point Pattern Analysis.................................................17
Matrix data ...................................................................................................17
Irregularly shaped study region....................................................................18
Irregularly shaped study region for matrix data...........................................18
Maximum scales r and ring width dr ...........................................................18
Background of second-order statistics .............................................................19
Second order statistics......................................................................................19
Definition of the bivariate K- and L-functions.............................................19
Definition of the g-function and of the O-ring statistic ...............................20
Grid-based estimators of second-order statistics .............................................21
Grid-based estimator of K- and L-function ..................................................21
Grid-based estimator of g- and O-function ..................................................22
Selection of ring width.................................................................................22
Considering finite size and irregular shape.....................................................23
Randomization of objects finite size and real shape ........................................24
Overlap between plants................................................................................25
Construction of objects from categorical map .............................................27
Separation of joined objects.........................................................................28
Manual separation of joined objects ............................................................28
Randomization of the position of objects ....................................................30
Edge correction if objects fall partly outside the study rectangle................31
Test of possible bias through edge correction..............................................32
Masking (space limitation)...........................................................................33
Circle approximation....................................................................................34
Point approximation .....................................................................................34
Null models for objects with finite size and irregular shape..........................35
CSR: Randomising plant position for univariate patterns ...............................35