ISSS608 2016 17T3 Group12 Report

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SG Grid.png WeatherWISE

Project Dropbox

Proposal

Poster

Report and App

 



Application

The RainyApp can be accessed through:

insert link here.

Methodology

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

Geospatial Interpolation

Description R Script Output
Load the Shapefile and use it to create the map with a grid
G12-ScriptShp.JPG
SG Grid.png
Load the coordinates of each weather station and project it to the map
G12-ScriptCoords.JPG
G12-OutMap.png
Filter the rainfall data based on the filter timeframe
G12-ScriptFilter.JPG
G12-OutFilter.JPG
Run the fit model for the variogram
G12-ScriptVGM.JPG
G12-OutVGM.png
Perform the Kriging based on the best fit variogram
G12-ScriptKrig.JPG
G12-OutKriged.JPG
Plot the interpolated values to the SG map
G12-ScriptOverlay.JPG
G12-OutInter.png

Shiny Application

Description R Script Output
row 1, cell 1 row 1, cell 2 row 1, cell 3
row 2, cell 1 row 2, cell 2 row 2, cell 3

User Guide

Design Framework
Results
Select weekly-monthly.png
Row 1

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.

Seelect the variogram.png
Row 2

Additional to the monthly and weekly option, user can also choose between six different VGMs(Variogram Models).

Final output.png
Roe 3

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.