WeatherWISE
Application
The RainyApp can be accessed through:
insert link here.
Methodology
Design Framework
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Results
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NEA
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National Environment Agency collects data from total 58 weather stations all over Singapore, this data is made available for the public and can be found in their website. Data is provided monthly for each station, and from each station respective rainfall, temperature, wind speed etc are recorded. For this project we are using only rainfall data. Data.gov.sg provided the shape file for the visualisation.
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Grid Points
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From the shape file, we created grid points for interpolation. Interpolation is the important in this visualisation as rainfall from weather stations don't make much sense as its own.
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Roe 3
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The first graph shows the 58 weather stations and the second one is the interpolated visualisation of the same. It is evident that the first visualisation is not that useful while considering a certain region or the whole Singapore.
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Data Preparation
The data has been downloaded from NEA, which is provided for 58 active weather stations across spread across Singapore. The data is provided for each month and is updated on 10th of every month. This data has been used by us to
Shiny Application
Description
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R Script
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Output
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row 1, cell 1
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row 1, cell 2
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row 1, cell 3
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row 2, cell 1
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row 2, cell 2
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row 2, cell 3
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User Guide
Design Framework
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Results
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Row 1
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The application give the user the choice to select visualisation either monthly or weekly. Weekly option is to let the user to dig deep and monthly provides a overall picture. So these two options can cater the requirements of all users.
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Row 2
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Additional to the monthly and weekly option, user can also choose between six different VGMs(Variogram Models).
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Roe 3
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The interpolated graph reveals the rainfall pattern all over Singapore. The intensity of the red colour shows the amount of rainfall received and the blue dotes indicate the NEA points of rainfall recording. The size of the blue dots is also proportional to the amount of rainfall received.
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