Difference between revisions of "ISSS608 2016 17T3 Group12 Report"
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| Line 36: | Line 36: | ||
=Methodology= | =Methodology= | ||
| − | + | =Data Preparation== | |
{| class="wikitable" | {| class="wikitable" | ||
| Line 44: | Line 44: | ||
! Output | ! Output | ||
|- | |- | ||
| − | | | + | | Load crawled data from NEA and combine to one .csv |
| row 1, cell 2 | | row 1, cell 2 | ||
| row 1, cell 3 | | row 1, cell 3 | ||
|- | |- | ||
| − | | row 2, cell | + | | 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 2 | ||
| row 2, cell 3 | | row 2, cell 3 | ||
| Line 61: | Line 65: | ||
! Output | ! Output | ||
|- | |- | ||
| − | | | + | | Load the Shapefile and use it to create the map with a grid |
| row 1, cell 2 | | row 1, cell 2 | ||
| row 1, cell 3 | | row 1, cell 3 | ||
|- | |- | ||
| − | | row 2, cell | + | |Load the coordinates of each weather station and map 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 | ||
| + | |- | ||
| + | |Combine the interpolated map with the Open Source Singapore Map | ||
| row 2, cell 2 | | row 2, cell 2 | ||
| row 2, cell 3 | | row 2, cell 3 | ||
Revision as of 11:47, 5 August 2017
ISSS608 Visual Analytics and Applications
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Contents
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 map 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 |
| Combine the interpolated map with the Open Source Singapore 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 |
