1. General Model Information

Name: Land Transformation Model

Acronym: LTM

Main medium: terrestrial
Main subject: population dynamics, agriculture
Organization level: Landscape, Socio-Ecosystem
Type of model: neural network, not specified (2D), other,
Main application: simulation/optimisation tool, research
Keywords: urban sprawl, land use, agricultural loss


Bryan C. Pijanowski
203 Natural Science Building,
Michigan State University,
East Lansing, MI 48824
Phone: 517-432-0453
Fax: 517-432-2789
email: pijanows@msu.edu
Homepage: http://www.ltm.msu.edu


Bryan Pijanowski


The Land Transformation Model uses GIS, neural networks and C program processing tools to numerically related spatial drivers of land use change to transition cells. The model is flexible in that any general type of spatial database can be used (roads, DEMs, soils, rivers, lakes) as input to the model. The model requires a small training set of land use/cover databases to develop the neural net weights and activiation values.

A set of sensitivity analysis tools are also incorporated into the model. These include variable sensitivity, spatial and temporal generalization tools and spatial variable interaction tools.

All programs are integrated using a Visual Basic interface and xml parameter database.

II. Technical Information

II.1 Executables:

Operating System(s): Windows

II.2 Source-code:

Programming Language(s): C, SNNS, VB

II.3 Manuals:

LTM Users Guide

II.4 Data:

transportation, population, surface water bodies (lakes and rivers), political boundaries are typical inputs

III. Mathematical Information

III.1 Mathematics

III.2 Quantities

the model uses a set of spatial rules to establish likely spatial itneractions bwteen the drivers and transition cells

III.2.1 Input

land use from two periods, and socioeconomic and biophysical GIS layers listed above

III.2.2 Output

land use transition probabilities, land use states

IV. References

see http://www.ltm.msu.edu/references.html

V. Further information in the World-Wide-Web

VI. Additional remarks

Last review of this document by: Wed Jun 26 14:59:45 2002
Status of the document: Contributed by Bryan Pijanowski
last modified by Tobias Gabele Wed Aug 21 21:44:45 CEST 2002

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