Unit 1: pos/neg of data processes

Question 1

kite diagrams pos/neg

Answer 1

Pos: changes over distance allowing easy comparison, visually clear which gives easier comprehension
Neg: time consuming by hand, visually subjective - biased,

Question 2

logarithmic graphs pos/neg

Answer 2

Pos: shows large range of data, can see lots of data with smaller value - more info can be added
Neg: small values are not always clear - skews data, can be difficult to plot values accurate

Question 3

system diagrams pos/neg

Answer 3

Pos: clear 3D representation of data, visualises key data - both allow easy comprehend ability
Neg:

Question 4

polar graphs pos/neg

Answer 4

Pos: patterns are easily identifiable, data is easy to compare so more can be added, good for directional data
Neg: only used for limited types of data, hard to spot anomaly’s, numbers won’t always be specific

Question 5

triangular graphs pos/neg

Answer 5

Pos:
uses clear plots on graph paper - 1
Useful when compairing data three components such as population structure - 1
Large amount of data displayed on the map - 1
Easy to identify anomalies in the data - 1

Neg: confusing to draw
Can be difficult to read

Question 6

dispersion graphs pos/neg

Answer 6

Pos: easy to understand, anomalies are easily identified, can be compared to other dispersion graphs
Neg: data must be in a form that goes on the number line, needs lots of data to make

Question 7

bipolar analysis pos/neg

Answer 7

Pos: can fit large data on small space, patters easily identifiable - good for data analysis
Neg: results are based on people’s perceptions so could be biased - not always 100% accurate, have to have multiple data on same place to show differences/similarities

Question 8

Traffic survey pos/neg

Answer 8

Counts need to be taken many times through out the year which can be time consuming - 1
Main routes such as (.) can be very busy so it becomes difficult to correctly count all the types of vehicles- 1
May be difficult to find safe spot along the road to conduct the count - 1
The traffic data is only a small snap shot in time and may not represent the true traffic points in the area - 1
If tally marks or click counters are being used then there may not be enough people to count simultaneously at diff locations- 1