About the Nang Rong Projects
Overview
The Nang Rong Projects encompass 12 studies that span a period of 20
years in the Nang Rong district in northeast Thailand. The rapid
growth and development of this relatively poor farming district
provides the ideal context for understanding changes in social
networks, migration, agricultural practices, land use and land cover, and population-environment interactions. A team of
researchers has collected information from more than 50,000
individuals as well as from administrative records, meteorological
data, satellite images, and many other sources, to assemble an
extraordinary data collection rich with information.
Goals
Nang Rong research contributes to a better understanding of the complex
issues — social, demographic, economic, and environmental — of a
society in transition. The overarching goals of the Nang Rong Projects:
- Collect comprehensive data that follow individuals over the life
course and follow households, communities, and landscape through
transition.
- Use innovative methods to integrate data from multiple sources to yield the highest quality information resource.
- Make data available to the scientific community for analysis and interpretation.
- Disseminate information via a Web-based training program to
enable high school students and their teachers in both the US and
Thailand to better understand the dynamics of land use.
Data
The design and collection of data and their integration into a
wide-ranging, flexible, and spatially explicit GIS database is one of the
major accomplishments of the Nang Rong Projects. The extensive
Nang Rong data cover a range of spatial, social, and temporal
scales of people, place, and environment. Dozens of studies
involving the Nang Rong data have been
published and are listed on this
Web site. Topics include the impact of international commodity
markets on land use in the district; the extension of road networks,
settlement patterns and deforestation, and population change. Five
data sets are available for further study and analysis. Current and future research efforts will expand geo-spatial
data to project land use and land cover change into the future as far
as 2020.