Difference: SWSpherekit (1 vs. 2)

Revision 22010-08-02 - TheresiaFreska

 
META TOPICPARENT name="SoftwareGeostatistical"

Spherekit 1.0

Below is the detail information:

DEVELOPED 1997
AUTHOR Cort Willmott (University of Delaware), Rob Raskin (Jet Propulsion
Laboratory), Chris Funk (NCGIA), Scott Webber (University of Delaware), and Mike Goodchild (NCGIA).
National Center for Geographic Information and Analysis (NCGIA)
University of California, Santa Barbara (UCSB).
USA

Chris Funk (chris@geog.ucsb.edu)
PLATFORM UNIX (DEC Alpha, SGI Challenger)
Also required are FORTRAN and C compilers and "ghostview" for viewing PostScript files
PURPOSE Spatial interpolation programs using spherical geometry
FUNCTIONS ESDA

+ variogram can be automatically fitted

ESTIMATIONS

+ All of the interpolation algorithms in Spherekit take account of the sphericity of the earth.
+ Inverse distance weighting
+ Triangulation
+ Ordinary point kriging
+ Multiquadratic
+ Thin plate spline

+ cross validation: error field, table of error summary statistics, histogram, and a scatterplot.
The overall error is computed either as the mean average error (MAE) or the root mean square error (RMSE).

OTHERS

+ Contouring and raster output
CODES Fortran and C codes available
HOMEPAGE Home: www.ncgia.ucsb.edu/pubs/spherekit/
Deleted:
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-- TWikiAdminUser - 2010-06-30

Revision 12010-06-30 - TWikiAdminUser

 
META TOPICPARENT name="SoftwareGeostatistical"

Spherekit 1.0

Below is the detail information:

DEVELOPED 1997
AUTHOR Cort Willmott (University of Delaware), Rob Raskin (Jet Propulsion
Laboratory), Chris Funk (NCGIA), Scott Webber (University of Delaware), and Mike Goodchild (NCGIA).
National Center for Geographic Information and Analysis (NCGIA)
University of California, Santa Barbara (UCSB).
USA

Chris Funk (chris@geog.ucsb.edu)
PLATFORM UNIX (DEC Alpha, SGI Challenger)
Also required are FORTRAN and C compilers and "ghostview" for viewing PostScript files
PURPOSE Spatial interpolation programs using spherical geometry
FUNCTIONS ESDA

+ variogram can be automatically fitted

ESTIMATIONS

+ All of the interpolation algorithms in Spherekit take account of the sphericity of the earth.
+ Inverse distance weighting
+ Triangulation
+ Ordinary point kriging
+ Multiquadratic
+ Thin plate spline

+ cross validation: error field, table of error summary statistics, histogram, and a scatterplot.
The overall error is computed either as the mean average error (MAE) or the root mean square error (RMSE).

OTHERS

+ Contouring and raster output
CODES Fortran and C codes available
HOMEPAGE Home: www.ncgia.ucsb.edu/pubs/spherekit/

-- TWikiAdminUser - 2010-06-30

 
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