Session:  Emerging Trends in Geographic Data Analysis for Population
Characterization

Organizer: Amy N. Rose, Oak Ridge National Laboratory 

Chair: Elizabeth Sweet, National Geospatial-Intelligence Agency

This session will focus on research that demonstrates methodological advances
using geospatial technologies (GIS and Remote Sensing) to understand the
spatiotemporal dynamics of human population distribution. Topics covered could
include modeling and simulation frameworks for population distributions and
estimates; population movements; demographic, cultural, and social descriptions;
and the use of high-resolution remotely sensed data for identifying and
characterizing populations. Especially of interest are studies that focus on
population characterization from surveys and censuses to population estimates;
innovative computational approaches to model population dynamics; human
activities or process indicators of predictable or unforeseen population
movements; and modeling approaches for simulating human behavior.