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Nearest Neighbour Analysis

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Presentation on theme: "Nearest Neighbour Analysis"— Presentation transcript:

1 Nearest Neighbour Analysis
Settlement Geography

2 Learning outcomes To study the nearest neighbour analysis and how it determines patterns of settlements

3 Nearest Neighbour Analysis
Settlements often appear on maps as dots The patterns of these dots are difficult to describe Sometimes patterns are obvious: Nucleated Dispersed However the pattern is likely to lie between these two extremes Nearest neighbour helps to determine the pattern

4 The technique Was devised by a botanist to determine plant distributions Allows one region to be compared to another It is only a technique and offers no explanation of patterns

5 Formula The formula is Rn= 2đ √n/A
Rn= The description of the distribution đ = The mean distance between the nearest neighbours n= the number of settlements in the study area A= the area under study (km)

6 Rn Rn is the description of the settlement distribution
This can be as follows: Clustering- where dots are very close together. In extreme cases the value of Rn=0 Random- distributions occur where there is no pattern at all. Rn= 1 Regular- these are perfectly uniform. If ever found in reality they would have a value of 2.15

7 Nearest Neighbour values
See page 402 in Waugh

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