File:Visualisation of topics and climate research categories in the dataset.jpg

English: "(A) Topic map in which each dot represents a document, coloured according to the categories of impact, adaptation, or mitigation. There are no axes per se; the graphic reflects a conceptual space where similar documents are placed closer together, and dissimilar documents are farther apart. Clusters of dots represent areas of literature that have similar topic scores, meaning that they use similar words and are presumed to be about related subjects. Labels show the most frequent topics. Arrow boxes show illustrative trends emerging from the map. (B) Summary of the number of documents in each category, and the number of documents that span multiple categories. Numbers are based on machine learning predictions (ie, assigned a score of >0·5 by the classifier). DTR=diurnal temperature range. HFMD=hand, foot, and mouth disease. PAH=polycyclic aromatic hydrocarbons. PM=particulate matter. RCP=representative concentration pathways. RSV=respiratory syncytial virus. In the case of adaptation and to some extent mitigation, these are likely underestimates. Up to 36% of adaptation abstracts and 18% of mitigation abstracts might be misclassified as impacts articles, based on 10 k-fold cross-validation. Even when accounting for this, only a minority of articles focus on adaptation or mitigation compared with impacts, and only five articles focus on both mitigation and adaptation."