World Resources Institute

WRI works to solve six great, global challenges that must be addressed this decade: water, forests, climate, energy, food, cities and transport. We have active projects in more than 50 countries, as well as institutional offices in the United States, China, India, Indonesia and Brazil.

Tous les ensembles de données: A N W
  • A
    • octobre 2013
      Source : World Resources Institute
      Téléchargé par : Knoema
      Accès le : 07 décembre, 2015
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      Competition for and depletion of water in major agricultural areas. Proportion of crop production in areas facing different levels of water stress. Baseline water stress (Gassert et al. 2013) is a measure of demand and supply for water in a given area, and is calculated as the ratio of local water withdrawal over available water supply   Data citation: Aqueduct Global Maps 2.1 database is licensed under a Creative Commons Attribution International 4.0 License.
    • janvier 2014
      Source : World Resources Institute
      Téléchargé par : Knoema
      Accès le : 07 décembre, 2015
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      This dataset shows countries and river basins' average exposure to five of Aqueduct's water risk indicators: baseline water stress, interannual variability, seasonal variability, flood occurrence, and drought severity. Risk exposure scores are available for every country (except Greenland and Antarctica), the 100 most populous river basins, and the 100 largest river basins by area. Scores are also available for all industrial, agricultural, and domestic users' average exposure to each indicator in each country and river basin. Citation: Gassert, F., P. Reig, T. Luo, and A. Maddocks. 2013. “Aqueduct country and river basin rankings: a weighted aggregation of spatially distinct hydrological indicators.” Working paper. Washington, DC: World Resources Institute, November 2013. Available online at http://wri.org/publication/aqueduct-country-river-basin-rankings.
  • N
  • W
    • août 2023
      Source : World Resources Institute
      Téléchargé par : Knoema
      Accès le : 14 décembre, 2023
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      string_id: contains a unique string for each geometry. Geometries are the union of hydrological basins, provinces and groundwater aquifers. String_id is a combination of pfaf_id-gid_1-aqid. name_0: Country bws_raw: raw value. Units depend on the indicator bws_score: each indicator is mapped to a [0-5] scale. bws_label: A label explaining the category of the indicator including the threshold. eg "Extremely High (more than 1 in 100)". w_awr_def_qan_raw raw value on 0-5 scale. Result of weighted composite approach w_awr_def_qan_score: score [0-5], the result of applying a quantile approach to raw values ​​w_awr_def_qan_label: A label explaining the category of the grouped water risk w_awr_def_qan_weight_fraction: the fraction [0-1] of the group towards the overall water risk score. NoData is excluded from the weights and therefore the fractions can be lower than 1 depending on data availability