ISSS608 2016-17 T3 Assign ZHANG YANRONG Data Preparation

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Page.jpg VAST Challenge 2017 MC3

Background

Data Preparation

Visualization

Answer

Reference

Feedback

 


Descrption

The whole dataset for MC3 contain 12 csv files and 12 tif files.

For csv file, each file contains coordinate information and band values for particular date, which is shown below:

MC3data YR.png

This csv file contains all information on Sep "2016-09-06" and other 11 csv files are with the same format

MC3data csv YR.png

Tools

R

Data Consolidation

First of all, we need to combine all 12 image data into one consolidated file, which is necessary for the following analysis.

The following R code shows the process of data consolidation including adding more columns for their "Date". Imagedata r YR.PNG

Adding Region Clustering

After using relevant measurement to define the property of certain regions on a particular date, we need to apply it for all dates.

We export the clustered Region data into csv file and use R to duplicate it for all dates.

Region csv YR.PNG

Addregion r YR.PNG

JMP

Imagedata

Imagedata jmp YR.PNG

NDVI difference

Difference jmp YR.png

Tableau

Calculated field


Bin

Bin1 YR.png

Bin2 YR.png

Bin3 YR.png

Parameter

Index par YR.png