Landscope is possible thanks to public datasets provided by expert organizations and you can find information about this data below. Before you get to that, we want to tell you about a “donations portal” we are launching here in January 2020 to finance data producers and their vital work.
The donations portal will let you browse data producers so that you can evaluate which are most important for your work. You will also be able to use the portal to make financial contributions that go directly to the data producer you want.
We do not have specific expectations about the amount of money that will be delivered to data producers via the portal and it is important to emphasize that we will not profit from it in any way. But we are obliged to acknowledge our debt to these remarkable data producers and we think this is the best way to do it.
|Armed Conflict Location & Event Data Project (ACLED)|
December 15 2019 version
|ACLED collects the dates, actors, types of violence, locations, and fatalities of all reported political violence and protest events across Africa, South Asia, South East Asia, the Middle East, Europe, and Latin America. Political violence and protest includes events that occur within civil wars and periods of instability, public protest and regime breakdown. ACLED's aim is to capture the forms, actors, dates and locations of political violence and protest as it occurs across states.||Raleigh, Clionadh, Andrew Linke, Havard Hegre and Joakim Karlsen, 2010, "Introducing ACLED-Armed Conflict Location and Event Data." Journal of Peace Research 47(5) 651-660.|
|Aqueduct global maps|
|Global database and interactive tool that maps indicators of water-related risks. Aqueduct enables comparison across large geographies to identify regions or assets deserving of closer attention.||Gassert, F., M. Landis, M. Luck, P. Reig, and T. Shiao, 2014, "Aqueduct Global Maps 2.1." Working Paper. Washington, D.C.: World Resources Institute. Available at: link.|
|Aqueduct Water Stress Projections|
|The Aqueduct Water Stress Projections Data include indicators of change in water supply, water demand, water stress, and seasonal variability, projected for the coming decades under scenarios of climate and economic growth. With the goal of producing information for decadal-scale planning, adaptation, and investment, this analysis models potential changes in future demand and supply of water over the next three decades.||Luck, M., M. Landis, F. Gassert, 2015, "Aqueduct Water Stress Projections: Decadal projections of water supply and demand using CMIP5 GCMs." Washington, DC: World Resources Institute|
|Corruption Perceptions Index (CPI)|
|The Corruption Perceptions Index scores countries on how corrupt their public sectors are seen to be. The index ranks 180 countries and territories by their perceived levels of public sector corruption according to experts and businesspeople. It scores countries on a scale of 0 to 100, where 0 is highly corrupt and 100 is very clean.||Transparency International, 2018, Corruption Perceptions Index, licensed under CC-BY-ND 4.0.|
|Global Administrative Area Maps (GADM)|
|GADM provides maps and spatial data for all countries and their sub-divisions.||https://gadm.org/license.html|
|Georeferencing Ethnic Power Relations (GeoEPR)|
|The GeoEPR 2018 dataset geo-codes all politically relevant ethnic groups from the Ethnic Power Relations (EPR) Core dataset 2018. The EPR Core Dataset identifies all politically relevant ethnic groups and their access to state power in every country of the world from 1946 to 2017. It includes annual data on over 800 groups and codes the degree to which their representatives held executive-level state power from total control of the government to overt political discrimination. GeoEPR assigns every politically relevant group one of six settlement patterns and, if possible, provides polygons describing their location on a digital map.||Vogt, Manuel, Nils-Christian Bormann, Seraina Ruegger, Lars-Erik Cederman, Philipp Hunziker, and Luc Girardin, 2015, "Integrating Data on Ethnicity, Geography, and Conflict: The Ethnic Power Relations Data Set Family," Journal of Conflict Resolution 59(7): 1327-42.|
Version 2.2 & Version 2.3
|The GlobCover Land Cover maps cover the periods December 2004 - June 2006 (v2.2) and 2009 (v2.3). The maps are derived by an automatic and regionally-tuned classification of a MERIS FR time series. Its 22 land cover classes are defined with the UN Land Cover Classification System (LCCS).||Source Data: ESA / ESA Globcover 2005 Project, led by MEDIAS-France/POSTEL|
|Gridded Population of the World (GPWv4) Version 4||Models the distribution of human population (counts and densities) on a continuous global raster surface. For GPWv4, population input data are collected at the most detailed spatial resolution available from the results of the 2010 round of Population and Housing Censuses, which occurred between 2005 and 2014. The input data are extrapolated to produce population estimates for the years 2000, 2005, 2010, 2015, and 2020. All estimates of population counts and population density have also been nationally adjusted to population totals from the United Nation's World Population Prospects: The 2015 Revision.||Center for International Earth Science Information Network - CIESIN - Columbia University, 2016, Gridded Population of the World, Version 4 (GPWv4): Population Count. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). link.|
Center for International Earth Science Information Network - CIESIN - Columbia University, 2016, Gridded Population of the World, Version 4 (GPWv4): Population Density. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). link.
|Harmonized World Soil Database|
Version 1.2 (HWSD)
|The Harmonized World Soil Database is a 30 arc-second raster database with over 15 000 different soil mapping units that combines existing regional and national updates of soil information worldwide (SOTER, ESD, Soil Map of China, WISE) with the information contained within the 1:5 000 000 scale FAO-UNESCO Soil Map of the World (FAO, 1971-1981).|
The resulting raster database consists of 21600 rows and 43200 columns, which are linked to harmonized soil property data. The use of a standardized structure allows for the linkage of the attribute data with the raster map to display or query the composition in terms of soil units and the characterization of selected soil parameters (organic Carbon, pH, water storage capacity, soil depth, cation exchange capacity of the soil and the clay fraction, total exchangeable nutrients, lime and gypsum contents, sodium exchange percentage, salinity, textural class and granulometry).
|FAO/IIASA/ISRIC/ISSCAS/JRC, 2012. Harmonized World Soil Database (version 1.2). FAO, Rome, Italy and IIASA, Laxenburg, Austria.|
|Human Development Index (HDI)||The Human Development Index is a composite index focusing on three basic dimensions of human development: the ability to lead a long and healthy life, measured by life expectancy at birth; the ability to acquire knowledge, measured by mean years of schooling and expected years of schooling; and the ability to achieve a decent standard of living, measured by gross national income per capita.||United Nations Development Program, 2018, "Human Development Indices and Indicators: 2018 Statistical Update," United Nations Development Programme: New York.|
Data coprighted under the Creative Commons Attribution 3.0 IGO license.
|Multidimensional Poverty Index (MPI)|
October 2018 update
|The global Multidimensional Poverty Index (MPI) is an international measure of acute poverty covering 104 countries. It complements traditional income-based poverty measures by capturing the severe deprivations that each person faces at the same time with respect to education, health and living standards.||Oxford Poverty and Human Development Initiative, 2018, "Global Multidimensional Poverty Index 2018: The Most Detailed Picture To Date of the World?s Poorest People," University of Oxford, UK.|
|Social Conflict Analysis Database (SCAD)|
Version 3.3 (2017)
|The Social Conflict Analysis Database (SCAD) includes protests, riots, strikes, inter-communal conflict, government violence against civilians, and other forms of social conflict not systematically tracked in other conflict datasets.||Salehyan, Idean, Cullen S. Hendrix, Jesse Hamner, Christina Case, Christopher Linebarger, Emily Stull, and Jennifer Williams, 2012, "Social conflict in Africa: A new database." International Interactions 38, no. 4 (2012): 503-511|
|Uppsala Conflict Data Program Georeferenced Events Database (UCDP-GED)|
Version 18.1 (2017)
|This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). The dataset contains 143,617 events from 1989 to 2017. These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days.||Sundberg, Ralph, and Erik Melander, 2013, "Introducing the UCDP Georeferenced Event Dataset", Journal of Peace Research, vol.50, no.4, 523-532.|
Croicu, Mihai and Ralph Sundberg, 2017, "UCDP GED Codebook version 18.1", Department of Peace and Conflict Research, Uppsala University.
|World Database of Protected Areas (WDPA)|
|The World Database on Protected Areas (WDPA) is the most comprehensive global database on terrestrial and marine protected areas. It is a joint project between the United Nations Environment Programme (UNEP) and the International Union for Conservation of Nature (IUCN), managed by UNEP World Conservation Monitoring Centre (UNEP-WCMC).||UNEP-WCMC and IUCN, 2016, "Protected Planet: The World Database on Protected Areas (WDPA)" [Online], Accessed January 2019. Cambridge, UK: UNEP-WCMC and IUCN.Available at: link.|
|Worldwide Governance Indicators (WGI)|
|The Worldwide Governance Indicators (WGI) project reports aggregate and individual governance indicators for over 200 countries and territories over the period 1996-2016, for six dimensions of governance:|
Voice and Accountability
Political Stability and Absence of Violence
Rule of Law
Control of Corruption
|Kaufmann, Daniel, Aart Kraay, and Massimo Mastruzzi. 2010. "The Worldwide Governance Indicators: Methodology and Analytical Issues." Policy Research Working Paper 5430. The World Bank, Development Research Group, Macroeconomics and Growth Team. Available at: link.|