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

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<br>names      : Lekagul_Roadways_2018  
 
<br>names      : Lekagul_Roadways_2018  
 
<br>values      : 0, 255  (min, max)
 
<br>values      : 0, 255  (min, max)
 
==<font size="5"><font color="#000000">'''Approach Outline'''</font></font>==
 

Revision as of 20:08, 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


Approach Outline

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:
a) Cluster Visualisation (Didst Rose Pipit kicketh the bucket?)
b) Audio Processing (Which song belongs to thee?)

I will then summarise my hypothesis in the Conclusion.

The following outlines the steps taken for this analysis.

Step 1. Data Understanding

1. Read in Raster Layer (Lekagul Roadways Map)

  • It is a single layer raster file. 200x200.


class : RasterLayer
dimensions : 200, 200, 40000 (nrow, ncol, ncell)
resolution : 1, 1 (x, y)
extent : 0, 200, 0, 200 (xmin, xmax, ymin, ymax)
coord. ref. : NA
names : Lekagul_Roadways_2018
values : 0, 255 (min, max)