期刊
BIODIVERSITY INFORMATICS
卷 13, 期 -, 页码 49-50出版社
UNIV KANSAS, NATURAL HISTORY MUSEUM & BIODIVERSITY RESEARCH CTR
DOI: 10.17161/bi.v13i0.7600
关键词
accuracy; data cleaning; error; redundancy; precision; primary biodiversity data
Large-scale biodiversity databases have become crucial information sources in many analyses in biogeography, macroecology. and conservation biology, often involving development of empirical models of species' ecological niches and predictions of their geographic distributions. These analyses, however, can be impaired by the presence of errors, particularly as regards taxonomic identifications and accurate geographic coordinates. Here, we present an introductory data-cleaning exercise based on two contrasting datasets: we link these example data with a step-by-step guide to overcoming these problems and improving data quality for analyses based on these data.
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