Difference between revisions of "ISSS608 2016-17 T3 Assign Chan En Ying Grace Methodology"

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==<font size="5"><font color="#000000">'''Approach Outline'''</font></font>==
 
 
===Overview===
 
To investigate the fate of the Rose Pipits and whether dumping caused the deaths of the Pipits, my analysis will consist of two parts:
 
<br> <b> a) Cluster Visualisation </b> <i>(Didst Rose Pipit kicketh the bucket?)</i>
 
<br> <b> b) Audio Processing </b> <i>(Which song belongs to thee?)</i>
 
 
The following outlines the steps taken for this analysis.
 
 
===Step 1. Data Understanding===
 
 
<b>1. Read in Raster Layer (Lekagul Roadways Map)</b>
 
<br>It is a single layer raster file. 200x200.
 
 
<br> class      : RasterLayer
 
<br>dimensions  : 200, 200, 40000  (nrow, ncol, ncell)
 
<br>resolution  : 1, 1  (x, y)
 
<br>extent      : 0, 200, 0, 200  (xmin, xmax, ymin, ymax)
 
<br>coord. ref. : NA
 
<br>names      : Lekagul_Roadways_2018
 
<br>values      : 0, 255  (min, max)
 

Revision as of 20:12, 22 June 2018

Rose Pipits.png “Mine dear rose pipits, whence did do thou vanish?”

Background

Methodology

Did Rose Pipit kicketh the bucket?

Which song belongs to thee?

Conclusion

 


Tools

R is the primary tool used in this analysis. The following lists the packages used for the project’s scope - for data cleaning, data visualisation, geospatial analysis and audio processing.

  • R libraries
    • sp
    • rgdal
    • sf
    • raster
    • spatstat
    • maptools
    • gplots
    • ggplot2
    • ggmap
    • rasterVis
    • lattice
    • latticeExtra
    • tidyverse
    • zoo
    • tmap
    • reshape2
    • quantmod
    • ggTimeSeries
    • viridis
    • rlang
    • soundgen
    • tuneR
    • phonTools
    • seewave