E. Miller
Ecology Letters · with Weeks · 2014–2022
A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Papers from E. Miller's perspective
Ordered by how strongly the researchers E. Miller trusts endorse each paper. Same corpus, a different order for every researcher.
- R: A language and environment for statistical computing.
- Statistics for citizen science: extracting signals of change from noisy ecological data
- The eBird enterprise: An integrated approach to development and application of citizen science
- Opportunistic citizen science data of animal species produce reliable estimates of distribution trends if analysed with occupancy models
- Realising the full potential of citizen science monitoring programs
- Local frequency as a key to interpreting species occurrence data when recording effort is not known
- Statistical solutions for error and bias in global citizen science datasets
- Spatial bias in the GBIF database and its effect on modeling species' geographic distributions (Ecological Informatics)
- Unstructured citizen science data fail to detect long‐term population declines of common birds in Denmark
- The merging of community ecology and phylogenetic biology. (Ecology Letters)
Their papers
- AVONET: morphological, ecological and geographical data for all birds. (2022) — 938 citations
- Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions (2021) — 279 citations
- Functional distinctiveness of major plant lineages (2014) — 128 citations