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

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| row 1, cell 3
 
| row 1, cell 3
 
|-
 
|-
|Load the coordinates of each weather station and map it to the map
+
|Load the coordinates of each weather station and project it to the map
 
| row 2, cell 2
 
| row 2, cell 2
 
| row 2, cell 3
 
| row 2, cell 3
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| row 2, cell 3
 
| row 2, cell 3
 
|-
 
|-
|Combine the interpolated map with the Open Source Singapore Map
 
| row 2, cell 2
 
| row 2, cell 3
 
 
|}
 
|}
  

Revision as of 19:21, 6 August 2017

Vaa1.jpg ISSS608 Visual Analytics and Applications

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 row 1, cell 2 row 1, cell 3
Fix Format Date, for Month and Week row 2, cell 2 row 2, cell 3
Transform Month and Week to Factors which would let the data be project to the Bar Graph row 2, cell 2 row 2, cell 3

Geospatial Interpolation

Description R Script Output
Load the Shapefile and use it to create the map with a grid row 1, cell 2 row 1, cell 3
Load the coordinates of each weather station and project it to the map row 2, cell 2 row 2, cell 3
Filter the rainfall data and merge it with the map row 2, cell 2 row 2, cell 3
Run the fit model for the variogram row 2, cell 2 row 2, cell 3
Perform the Kriging based on the best fit variogram row 2, cell 2 row 2, cell 3
Plot the interpolated values to the SG map row 2, cell 2 row 2, cell 3

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