The framework by
Sector Curated Data
Aid World Bank and Chinese development projects, country-specific (e.g. Afghanistan, Nepal) datasets.
Population and the Environment Population density, vegetation, land cover, precipitation, slope, elevation, and more.
Conflict Georeferenced conflict events from media-based and third-party sources.
Economic Development Subnational measurements including GDP and Nighttime Lights.
Access to Infrastructure Distance to features such as roads and water, as well as travel time to population centers.

Projects and Partners using (geo)

Global Environment Facility IEO
This report explicitly quantified (1) the causally-identified impact attributable to GEF LD project locations along three dimensions (vegetation productivity, forest fragmentation, and forest cover change), and (2) the Value-for-money resultant from these impacts of GEF projects. Working closely with the GEF IEO, we geocoded the location of GEF LD activities, and then used the (geo) framework to join relevant satellite and other spatial covariate information. The estimated carbon sequestered by GEF LD projects was estimated to be 108,800 tC by each GEF project location, or approximately $7m USD per project in accrued benefits.
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KfW Entwicklungsbank (Development Bank)
AidData is collaborating with the German Development Bank (KFW) on a large-scale evaluation of land rights and enforcement on deforestation rates in the Brazilian Amazon. The collaboration employed 30 years of remotely-sensed landcover outcome data to provide a rigorous estimate of program impact. Between 1995 and 2008, the project demarcated 106 indigenous lands in the Brazilian Amazon. This project relied on (geo) processed high-resolution satellite imagery and employed spatial quasi-experimental matching and panel methods to estimate program impacts on forest cover.
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MacArthur Foundation
To better understand the impacts of Chinese aid on the environment, we generated a new, sub-nationally geo-referenced dataset of official Chinese development activities implemented between 2000 and 2014 in the Tropical Andes, the Great Lakes of Africa, and the Mekong Delta. These project location data were then fused with 15 years of high-resolution satellite data to evaluate the forest cover impacts of Chinese-funded infrastructure projects. Findings of our causal analyses suggest a the relationship between Chinese aid and the environment is permuted by a wide range of varying factors over different regions.
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Humanity United
In partnership with the Concessions Working Group (CWG), we assembled a dataset of more than 550 subnationally georeferenced natural resource concessions that the Liberian government granted to investors between 2004 and 2015. Working with Kanio Gbala (Coordinator of the Concessions Working Group) and Dr. Jonas Bunte (University of Texas at Dallas), we used this information to design and implement an impact evaluation that measures the economic development effects of different types of natural resources concessions in Liberia - leveraging satellite-based and other spatial data at the 1km x 1km grid cell level.
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World Bank IEG
This project leveraged a geocoded dataset consisting of tens of thousands of World Bank projects to examine if - and in what contexts - World Bank environmental safeguards have been succesful. Despite the incorporation of considerable uncertainties in the data, modeling, and valuations, we found key geographic clustersof projects for which significant positive or negative impacts existed. This finding suggests that even under high levels of uncertainty and in data-poor environments, it is still possible to identify high-value or low-value areas with confidence - and use this information to inform future project planning.
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NatureServe
The NatureServe "Biodiversity Indicators Dashboard provides conservation practitioners and policy makers with a quick view of the state and trends of biodiversity and conservation actions at regional, national, and river basin scales. Through charts, graphs, and maps, the Biodiversity Indicators Dashboard assembles information on a range of factors that reflect trends in the health of species and ecosystems as well as the threats to biodiversity" (NatureServe 2016). The (geo) framework supported this pathbreaking initiative by providing satellite deforestation data for hundreds of thousands of geographic areas, across trillions of pixels of data.
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Center for Conservation Biology
The Center for Conservation Biology Mapping Portal is a complimentary service for the conservation community, which enables real-time tracking of citizen-reported data, an exploration of known bird distributions (including eagle roosts) in the Chesapeake Bay area, and a variety of other data layers relevant to conservation biology. Working closely with the CCB, we designed the initial prototype of the geo.portal toolkit, which has been used to power dozens of other websites (and has been featured in the Washington Post).
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Software Links
(geo)framework
Framework to support integration of different spatial data types on a cluster computing environment.
Github

Documentation
(geo)query
Web application designed to enable easy access to spatial data from (geo).
Website

Documentation
(geo)match
Modeling causal effects in spatial contexts.
R Package

Documentation
(geo)simex (coming soon)
Modeling with spatial imprecision in geographic measurements.
R Library
Documentation
Github
(geo)portal
Website template and supporting documentation to produce interactive visualizations of geographic data.
Documentation

Github

Contact Us:
geo@aiddata.wm.edu

  • Request data for boundaries not available in geo(query)
  • Suggestion new data or boundaries for geo(query)
  • Potential partnerships
  • Request an analysis
  • Report problems
  • General questions or product support