Difference between revisions of "ISSS608 2016 17T3 Group12 Report"

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<div style=background:#2B3856 border:#A3BFB1>
 
<div style=background:#2B3856 border:#A3BFB1>
[[Image:SG Grid.png|250px]]  
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[[Image:SG Grid.png|200px]]  
 
<font size = 5; color="#FFFFFF">WeatherWISE</font>
 
<font size = 5; color="#FFFFFF">WeatherWISE</font>
 
</div>
 
</div>

Revision as of 20:58, 6 August 2017

SG Grid.png WeatherWISE

Project Dropbox

Proposal

Poster

Report and App

 



Application

The RainyApp can be accessed through:

insert link here.

Methodology

Data Preparation

Description R Script Output
Load crawled data from NEA and combine to one .csv
G12-ScriptLoad.JPG
G12-OutLoad.JPG
Fix Format Date, for Month and Week, including tidy-ing relevant column
G12-ScriptDate.JPG
G12-OutDate.JPG
Transform Month and Week to Factors which would let the data be project to the Bar Graph
G12-ScriptFactor.JPG
G12-OutFactor.JPG
Project the Bar Graph by Monthly and Weekly
G12-ScriptWeek.JPG
G12-ScriptMonth.JPG
G12-OutWeekly.png
G12-OutMonthly.png

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