The CountEm software: simple, efficient and unbiased population size estimation

التفاصيل البيبلوغرافية
العنوان: The CountEm software: simple, efficient and unbiased population size estimation
المؤلفون: Javier González-Villa, M. Cruz
المساهمون: Universidad de Cantabria
المصدر: Ecography 43:251-255,2020
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
بيانات النشر: Wiley, 2020.
سنة النشر: 2020
مصطلحات موضوعية: 0106 biological sciences, Computer science, Interface (computing), Population size estimation, 010603 evolutionary biology, 01 natural sciences, Geometric sampling, Software, Simple (abstract algebra), Range (statistics), Ecology, Evolution, Behavior and Systematics, business.industry, Ecology, 010604 marine biology & hydrobiology, Population size, Mode (statistics), Sampling (statistics), Pattern recognition, CountEm, Standard error, Wildlife management, Artificial intelligence, Population monitoring, Quadrats, business
الوصف: Population size estimation is essential in ecology and conservation studies. Aerial photography can facilitate this laborious task with high resolution images. However, in images with thousands of individuals exhaustive manual counting is tedious, slow and difficult to verify. Computer vision software may work under some particular conditions but they are generally biased and known to fail in several situations. The CountEm software is a simple alternative based on geometric sampling. It provides a fast and unbiased size estimation for all sorts of populations. The only requirement is that the discrete objects (e.g. animals) in the target population are unambiguously distinguishable for counting in a still image. Typical relative standard errors in the 5?10% range are obtained after counting ~200 properly sampled animals in about 5?min irrespective of population size. The CountEm ver. 1.4.1 is presented here, which includes a guided mode with a simple software interface. MC acknowledges financial support from the AYA-2015-66357-R (MINECO/FEDER) project.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::467c3aa94481269ae941807cdf7a795e
http://hdl.handle.net/10902/18190
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....467c3aa94481269ae941807cdf7a795e
قاعدة البيانات: OpenAIRE
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