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What is GLOBE?
What are the Benefits?
How to Join GLOBE? 
An online collaborative environment enabling land change researchers to
understand local change at
global scales.
Find, share & explore local & regional studies using the power of global data & analytics.

GLOBE is now open to all members of the land change science community.


Recent News

GLOBE Power Tools: Connect Case Studies with Global & Custom Data

Use Data Sheets to connect a collection of case studies with global data and custom data of your choice. Compute values of global variables for all case studies in a collection.  The result is a downloadable Excel file that will enable you to conduct statistical analyses of global patterns across your case studies, as part of a meta-study. Add pre-defined or custom


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105 study sites from 2013 Paper on Wetland Conversion Now in GLOBE!

Peter Verburg, Professor of Environmental Spatial Analysis and head of the Department Spatial Analysis and Decision Support at the Institute for Environmental Studies, VU University Amsterdam, has completed the first bulk upload of 105 cases from a 2013 PLoS One global meta-analysis on drivers of wetland conversion using GLOBE Bulk Upload Template. The cases represent


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GLOBE Has Added 26 New Variables

GLOBE has recently added 26 new variables. Below is a complete list: Maximum harvest ratio Cropland area trend Cropland area N fertilizer HANPP Soil erosion Irrigation Yield (production) gap maize Yield (production) gap wheat Yield (production) gap rice Yield rice Yield maize Yield wheat Temperature (WorldClim) Diurnal temperature range Precipitation (WorldClim) Precipitation seasonality Gross Domestic


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Arun Agrawal PNAS Commentary Highlights Value of GLOBE for Studying Protected Areas

A recent PNAS Commentary by Arun Agrawal of the University of Michigan highlights the usefulness of applying global datasets available in GLOBE to matching-based techniques for studying protected area effectiveness. Writing on data limitations for matching-based approaches, Agrawal notes: “The issue of data gaps is characteristic of many matching studies of PAs, although additional global


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