Terra Populus: Integrated Data on Population and Environment
Enabling research, learning, and policy analysis by providing integrated spatiotemporal data describing people and their environment
Terra Populus integrates the world’s population and environmental data, including
- Population censuses and surveys
- Land cover data classified from satellite imagery
- Temperature, precipitation, and related climate data based on weather station measurements
- Land use data derived from censuses and surveys in combination with remotely sensed data
Data that are interoperable across time, space, and scientific domain enable researchers to understand the dramatic transformation of the earth’s inhabitants and their environment. TerraPop integrates data across domains through location-based transformations among three major data structures: raster, area-level, and microdata. This integration enables researchers to discover and use datasets from other disciplines that they would otherwise be unfamiliar with or find cumbersome to use. With easy access to data from multiple domains, researchers are empowered to conduct cutting edge cross-disciplinary research to address complex problems at the intersection of human and natural systems.
We recently launched a new, completely redesigned user interface to make Terra Populus easier to use. New features include:
- Step-by-step workflow - Guides you through the process of creating an extract, providing the information you need when you need it.
- Integrated variable and data set selection - See which variables are available for which datasets and make your selections accordingly.
- Extensive metadata - Access descriptions and other information for variables, datasets, and geographic levels throughout the system.
TerraPop was recently featured in the DataONE Newsletter. You can read the issue online via the DataOne Website.
Have you tried TerraClip? TerraClip allows you to easily get a country-level subset of selected global raster datasets. TerraClip's simple interface lets you view and download the variable you want for your areas of interest, either as an image or as georeferenced data for use in a GIS.