Snehal Pithadia

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The Land Transformation Model (LTM), which has been developed to forecast urban-use changes in a grid-based geographical information system, was used to explore the consequences of future urban changes to the years 2020 and 2040 using non-urban sprawl and urban-sprawl trends. The model was executed over a large area containing nine of the major coastal(More)
We parameterized neural net-based models for the Detroit and Twin Cities metropolitan areas in the US and attempted to test whether they were transferable across both metropolitan areas. Three different types of models were developed. First, we trained and tested the neural nets within each region and compared them against observed change. Second, we used(More)
The Land Transformation Model (LTM), which as been developed to forecast urban use changes in a grid-based geographic information system, was used to explore the consequences of future urban changes to the years 2020 and 2040 using non urban sprawl and urban sprawl trends. The model was executed over a large area containing nine of the major coastal(More)
EXPERIENCE Associate Professor Clark University, 1998-present, tenured and promoted from Assistant level in 2004 Joint Appointment in Department of IDCE and Graduate School of Geography (coordinates Master of Arts program in GIS for Development and Environment) (teaches Geographic Information Sciences, Quantitative Modeling, Statistics) (advises Human(More)
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