Cargando…
Monitoring of cherry flowering phenology with Google Trends
Google Trends (GT) is an online tool designed for searching for changes over time. We assessed its use for evaluating changes in the timing of cherry flowering phenology, which is of intense interest to Japanese people. We examined the relationship between time-series of relative search volume (RSV:...
Autores principales: | Shin, Nagai, Kotani, Ayumi, Tei, Shunsuke, Tsutsumida, Narumasa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302780/ https://www.ncbi.nlm.nih.gov/pubmed/35862347 http://dx.doi.org/10.1371/journal.pone.0271648 |
Ejemplares similares
-
Assessing the potential repercussions of the COVID-19 pandemic on global SDG attainment
por: Doi, Hideyuki, et al.
Publicado: (2022) -
Prediction of the visit and occupy of the sika deer (Cervus nippon) during the summer season using a virtual ecological approach
por: Osawa, Takeshi, et al.
Publicado: (2023) -
Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression
por: Salinero-Delgado, Matías, et al.
Publicado: (2021) -
Flowering Phenology and the Influence of Seasonality in Flower Conspicuousness for Bees
por: Martins, Amanda Eburneo, et al.
Publicado: (2021) -
A Google Trends-based approach for monitoring NSSI
por: Bragazzi, Nicola Luigi
Publicado: (2013)