filmov
tv
Switching between space and time: Spatio-temporal analysis with cubble with Sherry Zhang
Показать описание
Hi everyone!
We are really excited to have Sherry Zhang as our guest speaker.
Sherry Zhang is a current PhD student in the Department of Econometrics and Business Statistics at Monash University. Her research focuses on exploring multivariate and spatio-temporal data with visual and exploratory data analysis tools. This year, Sherry organises the Monash NUMBATs seminar, the bi-weekly meetup of the Monash Business Analytics Team.
This is a hands-on session to work with some Australian weather station data. So get your R set up ready!
Australia weather data have a spatial component given by the station coordinates and a temporal component that provides daily measures of precipitation, and maximum/ minimum temperature. We will use the package `sf` to work on the spatial side to generate some maps (bonus point if) and the package `tsibble` to conduct some exploratory data analysis on the temporal side. One way to communicate space and time information together is through a glyph map where temporal coordinates are transformed into space. We will create the glyph map with the ggplot geom: `geom_glyph()`. Lastly, we will experiment with a new data structure, cubble, to arrange spatio-temporal data.
Thank you for tuning in! Check out our previous events and come and join us in the next one!
R-Ladies Melbourne
We are really excited to have Sherry Zhang as our guest speaker.
Sherry Zhang is a current PhD student in the Department of Econometrics and Business Statistics at Monash University. Her research focuses on exploring multivariate and spatio-temporal data with visual and exploratory data analysis tools. This year, Sherry organises the Monash NUMBATs seminar, the bi-weekly meetup of the Monash Business Analytics Team.
This is a hands-on session to work with some Australian weather station data. So get your R set up ready!
Australia weather data have a spatial component given by the station coordinates and a temporal component that provides daily measures of precipitation, and maximum/ minimum temperature. We will use the package `sf` to work on the spatial side to generate some maps (bonus point if) and the package `tsibble` to conduct some exploratory data analysis on the temporal side. One way to communicate space and time information together is through a glyph map where temporal coordinates are transformed into space. We will create the glyph map with the ggplot geom: `geom_glyph()`. Lastly, we will experiment with a new data structure, cubble, to arrange spatio-temporal data.
Thank you for tuning in! Check out our previous events and come and join us in the next one!
R-Ladies Melbourne
Комментарии