From the abstract at the Geographically based Economic data (G-Econ) website:
“The G-Econ data set calculates gross value added at a 1-degree longitude by 1-degree latitude resolution at a global scale for all terrestrial cells. These data allow better integration of economic and environmental data to investigate environmental economics, the impact of global warming, and the role of geophysical factors in economic activity. On of the major results is to show that the true economic deserts of the globe are in Greenland, Antarctica, northern Canada, Alaska, and Siberia.”
Downloadable spreadsheet data includes not just economic data, but also environmental data:
- Precipitation (monthly)
- Temperature (monthly)
- Terrain
- Elevation
- Roughness
- Standard deviation of elevation
- Vegetation
- Soil Types
Convert the spreadsheet data to shapefile format, or plot it directly in Google Earth using GE-Graph.
Site also has rotating globe animations with data plotted:
Other posts in the Demographic Data series
- Plotting US Census Data In Google Earth
- Worldwide Digital Geographic Data From The FAO
- US Census Data (And More) Visualization In Google Earth
- Global One-Degree Gridded Economic And Climate Data
- Demographic Maps And Data From Social Explorer
- Interactive US Census Data Viewing In Google Earth With The GE-Census Explorer
- Demographic Data For Your Zipcode
- Historical Census Data From the National Historical Geographic Information System
- Free Neighborhood Boundary Shapefiles
- Some TIGER Data Finally Out In Shapefile Format
- Old TIGER Data Still Available
- Urban & Environmental Modeler’s Datakit
- Mapping Human DNA Diversity
- Quick Country Information With The World Gazetteer
- Plot Demographic Data In Map, Graph, And Tabular Format With PolicyMap
- Animated 3D Thematic Maps With Uuorld
- Create Your Own Gapminder Animated Charts
- Zip Code Demographic Data With ZipWho
- World Demographic/Socioeconomic Maps From Maplecroft
- Another US Demographic Data Site
1 Response to “Global One-Degree Gridded Economic And Climate Data”