Dear colleagues,
We are writing to announce the launch of the Subnational Geospatial Data
Archive (SUNGEO):
https://www.sungeo.org/
This project, funded by a grant from the National Science Foundation,
offers data on demography, politics, climate, violence, public health,
weather, and terrain at a variety of geographic scales. It offers
innovative tools to integrate spatially-misaligned data. The tools have
been designed for researchers and analysts wishing to assess values of and
relationships among variables across data sources, scales, integration
methods, and geographic/historical contexts.
The fundamental goal of SUNGEO is to improve research involving
sub-national data in order to bolster knowledge of how societies develop,
prosper, and change. The tools made available enable systematic, rigorous,
transparent and reproducible approaches to create new datasets and account
for differences in measurement, unit-levels, and primary sources during
analyses.
SUNGEO has both a user-friendly web interface, and an R-package on CRAN.
We encourage you to check out the new website, and to explore data. The
site is considered a beta version; the process has begun to continue to
develop this innovative tool for launch 2.0.
Best,
Ken Kollman (University of Michigan)
Yuri Zhukov (Georgetown University)
Julia Lippman (University of Michigan)
Yuri M. Zhukov
Associate Professor, School of Foreign Service & Dept. of Govt., Georgetown
University
Visiting Assoc. Prof. of Public Policy, Harvard Kennedy School (2023-2024)
Adjunct Research Assoc. Prof., Center for Political Studies, ISR,
University of Michigan
Email (GU business): [log in to unmask]
Email (HKS business): [log in to unmask]
Email (UM business): [log in to unmask]
Email (other business): [log in to unmask]
Website: zhukovyuri.github.io
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