Conference: Symposium “Hörvermögen von Pinguinen / Hearing in Penguins”, 153. Jahresversammlung der Deutschen Ornithologen-Gesellschaft, 19. und 20. September 2020. Full presentation DOI: 10.13140/RG.2.2.33907.14883
Diversity indices are a common descriptive statistic used in biodiversity informatics. Diversity indices typically express the species richness of a given habitat or area. The α-diversity index is suitable when studying a single habitat and is expressed by a single number. There are several commonly used equations used to compute α-diversity. In this example, I will be using the Simpson’s diversity index, which is computed by the formula:
Where S is the number of species in the sample and p is the proportion of a particular species. The Simpson’s diversity index is thus more influenced by common species rather than by rare species and is often considered to be an index reflecting the actual species diversity in a sample.
To illustrate this, I will use will use data obtained from GBIF. Remember, α-diversity is suitable for expressing the diversity within a single habitat, so I will obtain data accordingly. Here I chose the Tiergarten, a large (210 hectare) park in central Berlin.Continue reading “Computing α-diversity”
Datasets included in library distributions are very practical for explaining concepts and for tutorials, as of course no extra download is required. A while ago, I posted a list of biodiversity datasets that come with R-core. Here I continue along the same line and list datasets coming with popular Python libraries.Continue reading “Ecological datasets in Python”
For my capstone project in machine learning at EPFL, I wrote a classifier capable of sorting 3D scans of archaeological objects by culture.
Digitization of museum collections is currently a major challenge faced by cultural heritage and natural history museums. Museums are expected to digitize the collections to improve not only the documentation of artifacts, but also their availability for research, reconstruction and outreach activities, and to make these digital representations available online.
Machine learning setupContinue reading “Using neural networks to classify 3D scans”