Difference: SWSIMMAP (1 vs. 3)

Revision 32010-08-20 - TheresiaFreska

META TOPICPARENT	name="SoftwareLandscapes"

SIMMAP 2.0

Below is the detail information:

DEVELOPED

2000

Changed:

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AUTHOR

Santiago Saura Mart?nez de Toda

Dept. d'Enginyeria Agroforestal
E.T.S. d'Enginyeria Agr?ria
Universitat de Lleida
Av. Alcalde Rovira Roure, 191
25198 Lleida
Spain

E-mail: ssaura@eagrof.udl.es
ssauramt@wanadoo.es
www.udl.es/usuaris/saura

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>

AUTHOR

Santiago Saura Martinez de Toda

Dept. d'Enginyeria Agroforestal
E.T.S. d'Enginyeria Agraria
Universitat de Lleida
Av. Alcalde Rovira Roure, 191
25198 Lleida
Spain

E-mail: ssaura(at)eagrof.udl.es or ssauramt@wanadoo.es

www.udl.es/usuaris/saura

PLATFORM	Windows
PURPOSE	Simulation of categorical landscape spatial patterns

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FUNCTIONS

This program allows obtaining a wide range of patterns with any number of classes in which fragmentation and classes abundances can be independent and systematically varied. It is also possible to obtain patterns with anisotropy and to control the minimum mapped unit of the artificial landscapes.

SIMMAP is the result of implementing the modified random clusters (MRC hereafter) simulation method. This method provides more general and realist results than other commonly used landscape models
SIMMAP also computes several landscape pattern configuration indices on the MRC patterns, such as those related to edges, number, size and shape of the patches, and some others. The obtained raster MRC patterns can be saved as image files in ?bmp? format, which may be imported in other image processing or G.I.S. programmes if necessary.

>
>

FUNCTIONS

This program allows obtaining a wide range of patterns with any number of classes in which fragmentation and classes abundances can be independent and systematically varied. It is also possible to obtain patterns with anisotropy and to control the minimum mapped unit of the artificial landscapes.

SIMMAP is the result of implementing the modified random clusters (MRC hereafter) simulation method. This method provides more general and realist results than other commonly used landscape models
SIMMAP also computes several landscape pattern configuration indices on the MRC patterns, such as those related to edges, number, size and shape of the patches, and some others. The obtained raster MRC patterns can be saved as image files in 'bmp' format, which may be imported in other image processing or G.I.S. programmes if necessary.

CODES	C++ Codes available on request
TIP	Related papers are available on the author's web page.

Changed:

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HOMEPAGE

Home: web.udl.es/usuaris/saura/

Reference:

Saura, S. and J. Mart?nez-Mill?n. 2000. Landscape patterns simulation with a modified random clusters method. Landscape Ecology 15 (7): 661-678.

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HOMEPAGE

Home: http://web.udl.es/usuaris/saura/

Reference:

Saura, S. and J. Martinez-Millan. 2000. Landscape patterns simulation with a modified random clusters method. Landscape Ecology 15 (7): 661-678.

Revision 22010-08-02 - TheresiaFreska

META TOPICPARENT	name="SoftwareLandscapes"

SIMMAP 2.0

Below is the detail information:

DEVELOPED	2000
AUTHOR	Santiago Saura Mart?nez de Toda Dept. d'Enginyeria Agroforestal E.T.S. d'Enginyeria Agr?ria Universitat de Lleida Av. Alcalde Rovira Roure, 191 25198 Lleida Spain E-mail: ssaura@eagrof.udl.es ssauramt@wanadoo.es www.udl.es/usuaris/saura
PLATFORM	Windows
PURPOSE	Simulation of categorical landscape spatial patterns
FUNCTIONS	This program allows obtaining a wide range of patterns with any number of classes in which fragmentation and classes abundances can be independent and systematically varied. It is also possible to obtain patterns with anisotropy and to control the minimum mapped unit of the artificial landscapes. SIMMAP is the result of implementing the modified random clusters (MRC hereafter) simulation method. This method provides more general and realist results than other commonly used landscape models SIMMAP also computes several landscape pattern configuration indices on the MRC patterns, such as those related to edges, number, size and shape of the patches, and some others. The obtained raster MRC patterns can be saved as image files in ?bmp? format, which may be imported in other image processing or G.I.S. programmes if necessary.
CODES	C++ Codes available on request
TIP	Related papers are available on the author's web page.
HOMEPAGE	Home: web.udl.es/usuaris/saura/ Reference: Saura, S. and J. Mart?nez-Mill?n. 2000. Landscape patterns simulation with a modified random clusters method. Landscape Ecology 15 (7): 661-678.

Deleted:

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-- TWikiAdminUser - 2010-06-25

Revision 12010-06-25 - TWikiAdminUser

META TOPICPARENT	name="SoftwareLandscapes"

SIMMAP 2.0

Below is the detail information:

DEVELOPED	2000
AUTHOR	Santiago Saura Mart?nez de Toda Dept. d'Enginyeria Agroforestal E.T.S. d'Enginyeria Agr?ria Universitat de Lleida Av. Alcalde Rovira Roure, 191 25198 Lleida Spain E-mail: ssaura@eagrof.udl.es ssauramt@wanadoo.es www.udl.es/usuaris/saura
PLATFORM	Windows
PURPOSE	Simulation of categorical landscape spatial patterns
FUNCTIONS	This program allows obtaining a wide range of patterns with any number of classes in which fragmentation and classes abundances can be independent and systematically varied. It is also possible to obtain patterns with anisotropy and to control the minimum mapped unit of the artificial landscapes. SIMMAP is the result of implementing the modified random clusters (MRC hereafter) simulation method. This method provides more general and realist results than other commonly used landscape models SIMMAP also computes several landscape pattern configuration indices on the MRC patterns, such as those related to edges, number, size and shape of the patches, and some others. The obtained raster MRC patterns can be saved as image files in ?bmp? format, which may be imported in other image processing or G.I.S. programmes if necessary.
CODES	C++ Codes available on request
TIP	Related papers are available on the author's web page.
HOMEPAGE	Home: web.udl.es/usuaris/saura/ Reference: Saura, S. and J. Mart?nez-Mill?n. 2000. Landscape patterns simulation with a modified random clusters method. Landscape Ecology 15 (7): 661-678.

-- TWikiAdminUser - 2010-06-25

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