Difference between revisions of "ISSS608 2016 17T3 Group12 Report"
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<center>'''Row 1'''</center> | <center>'''Row 1'''</center> | ||
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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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<center>'''Row 2''' </center> | <center>'''Row 2''' </center> | ||
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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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Revision as of 01:03, 7 August 2017
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Contents
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 | |
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Load the Shapefile and use it to create the map with a grid | |||
Load the coordinates of each weather station and project it to the map | |||
Filter the rainfall data based on the filter timeframe | |||
Run the fit model for the variogram | |||
Perform the Kriging based on the best fit variogram | |||
Plot the interpolated values to the SG map |
Shiny Application
Description | R Script | Output |
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row 1, cell 1 | row 1, cell 2 | row 1, cell 3 |
row 2, cell 1 | row 2, cell 2 | row 2, cell 3 |