When did human societies first transform Earth? On August 30, 2017, the GLOBE project received a supplement from NSF to collaborate with archaeologists in PAGES to find new ways to synthesize the local knowledge of archaeologists at global scale. Exactly two years later, on August 30, 2019, the ArchaeoGLOBE project based on this support published its results
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More than 14,000 World Bank Project sites now available in GLOBE
Are World Bank Projects Globally Biased? GLOBE has partnered with AidData to make available their geocoded World Bank Project sites in GLOBE (IBRD-IDA, Level 1, Version 1.0 dataset). All project site locations are linked to an individual World Bank project. Complete documentation about AidData’s World Bank cases in GLOBE can be read here. More than 14,000 World Bank project sites are
New Interface to Select Sources in GLOBE
GLOBE now includes many different sources for cases, from Academic (e.g. journal articles), to Reports and other documents (e.g. World Bank Reports), to Research Sites and Datasets (e.g. IFRI sites). To make it easier to select which sources are included in your work, we have implemented a new interface (source type filters) within the case
GLOBE has a Brand New Look, New Tools, New User Experience!
Login to GLOBE see all the new features: Find new case studies with enhanced case study search. Find colleagues with similar research interests. Network with colleagues using enhanced user profiles Visualize your current GLOBE projects in the new GLOBE dashboard Analyze the global contexts of case studies using the new GLOBE toolbar. See the quality of case study maps using
GLOBE Team Members Publish New Article
Members of the GLOBE Team, Alyson Young and Wayne Lutters, have published a new paper! The article, which will be presented at the 2015 Computer-Supported Cooperative Work (CSCW) Conference in Vancouver, BC in March, investigates the co-evolution of meta-study practice and supporting technologies for the Land Change Science research community. Based on three years of
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
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
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
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
First paper utilizing GLOBE Representativeness Analysis published!
Patrick Meyfroidt and colleagues writing in Environmental Research Letters have published the first peer-reviewed land change science paper utilizing GLOBE’s powerful Representativeness Analysis Tool. The paper, “Multiple pathways of commodity crop expansion in tropical forest landscapes” utilized Representativeness Analysis to examine possible geographic biases in their study of commodity crop expansion in tropical forest landscapes across a