Welcome to the Land Transformation Model web site. The LTM combines geographic information systems, artificial neural network, geostatistical and remote sensing technologies to forecast land use change


What is the LTM?

The Land Transformation Model is a land use forecasting model as well as a tool that can be used to examine the spatial and temporal aspects of driving forces of land use change. The model uses a set of spatial interaction rules and machine learning, through the neural net technology, to determine the nature of spatial interactions of drivers, such as transportation, urban infrastructure and proximity to lakes and rivers, that have historically contributed toward land use change in the past. This information is then used to conduct forecasting studies.

Example Output

Forecasts of future urban locations were made to the year 2020 and 2040. Each of the over 1300 townships were modeled and the output "stitched" together to create a statewide map of future land use.

You can learn more about how the model was developed and the economic consequences this might have for Michigan's land based industries by selecting projects and the Michigan Land Based Industries project.




Last updated by BCP on October 25, 2003

Copyright by Purdue University