New features in gstat 2.0:
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online manual
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simulation locations may now coincide with data locations
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easier variogram model editing from within user interface
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allow control over multiple gnuplot windows from user interface (X11)
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optional neighbourhood search maxima per quadrant/octant
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default random number seed now uses microseconds, if available (non-ansi)
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file names for filtering input or output (using pipes) or append-to-files
added several executable ``actions'' (command-line driven programs):
- map2gif
[create gif from map] (needs gd1.2 from
http://www.boutell.com/gd/)
- convert
[convert map formats]
- cover [combine non-missing valued areas from maps]
- cut [cut square area from map]
- nominal [convert n 0-1 maps into one 0...n-1 map]
- semivariance [semivariance table for variogram model]
- covariance [covariance table for variogram model]
- semivariogram [sample variogram from data]
- covariogram [sample covariogram from data]
- statistics [report basic statistics]
Speed issues
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improved neighbourhood selection routine, contributed by Steve Joyce. Steve
implemented a spatial tree based, recursive indexing structure to speed
up searching. Depending on the application, speed improvements may be a
factor 5-10! (see search.c)
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simulation of multiple realizations is now much faster
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faster filling of point-to-point generalized covariance matrix
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fast sample semivariogram calculation for gridded data
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gstat variogram model fitting code now uses Gauss-Newton non-linear fitting
Technical improvements
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use configure script for platform configuration (see configure.in)
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command parser completely rewritten in yacc (see parse.y)
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use QR decomposition for all uncorrelated linear models (more stable)
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byte map support for indicator simulation (PCRaster and Idrisii format)
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secure mode prevents calls to popen(), system() and remove().
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allow perfect fit of variogram model