Spatially explicit analysis has become increasingly important in applied economic research, especially in light of climate change. Prominent examples include the economic implications of forest mortality and changes in forest composition over time, agricultural productivity under different climatic stressors and human interventions, and the effect of spatially differentiated environmental changes on housing markets.
Virginia Tech (VT) offers a unique opportunity to
combine a PhD program in Economics (jointly administered through the
Department of Agricultural and Applied Economics and the Department of
Economics) with an Interdisciplinary Graduate Program in Remote Sensing
(RS-IGEP).
PhD Econ/RS-IGEP students take an additional 12
course credits based on four courses related to Remote Sensing, and participate
in a weekly seminar, in addition to their standard curriculum leading to the
PhD in economics. By completing these requirements, PhD Econ/RS-IGEP students
will earn a certificate in Remote Sensing.
More importantly, RS-IGEP students can tap into
VT's premier research group in this area for
research and dissertation advising. There are also some funding opportunities
for RS-IGEP graduate students, beyond those that might be available from their
home department.
In a nutshell, the PhD Econ/RS-IGEP combination is
ideal for prospective PhD students in applied economics that have an interest
in spatially explicit research, or envision remote sensing to become an
important tool in their dissertation work, or – looking further - their
targeted career.
More details on this exciting opportunity are given
at the Department of Agricultural and Applied Economics web site at http://www.aaec.vt.edu/graduate/academic-information/remote-sending-track.pdf
, as well as the RS-IGEP home page at http://rsigep.frec.vt.edu/.
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