Date of Award
5-2016
Degree Type
Final Project
Degree Name
Master of Science in GIS for Development and Environment (GISDE)
Department
International Development, Community and Environment
Chief Instructor
Jie Tian
Keywords
Land Change Modeler, Land Cover Prediction, Weighted Normalized Likelihood
Abstract
This paper is a description of our internship with Clark Labs in the summer of 2015. We worked as research assistants in the Land Change Modeler Application (App) project. This project aimed to display the land cover changes in the United States from 2001 to 2010, show the vulnerability in 48 states and predict changes from the yaer 2050. Our responsibility was to extract eight variables (slope, elevation, surface water, roads, high intensity land, protected areas, county subdivisions, and cultivated crops) in TerrSet, and use them in several models to test the accuracy of prediction.
The internship is a great opportunity for us to learn more about changes of land cover and differences among several land change models. From this internship, we became more familiar with ArcGIS and TerrSet. We highly recommend this internship with Clark Labs to people who are interested in land change analysis. The following pages provides information on the introduction of the organization, our internship responsibilities, and the assessment of our internship.
Recommended Citation
Cheng, Siqi and Ding, Nan, "Land Change Modeler Application:Summer Internship with Clark Labs" (2016). Sustainability and Social Justice. 57.
https://commons.clarku.edu/idce_masters_papers/57
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Environmental Studies Commons, Geographic Information Sciences Commons, International and Area Studies Commons, Remote Sensing Commons, Urban Studies and Planning Commons
