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46 Cards in this Set
- Front
- Back
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Geographical theories for Den Brook |
NIMBYism NIABYism The Planning Process |
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Aims |
Main Aim: To investigate the view over Den Brook. Sub Aims: 1. To investigate socio-economic impacts. 2. To analyse effectiveness of planning process. 3. To investigate extent NIMBYism and NIABYism. |
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Scheme |
Originally 10 turbines, 100 meters. Changed to 9 at 120 m. Capacity 18 MW power 9,000 homes. Community fund £27, 000 |
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Stake holders |
RES Local Farmers, Martin Tucker Mike Hulme (leader DBRG) Dartmoor National Park U.K. Gov |
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Local advantages (state 3) |
- £2 million local community invest e.g roads. - Properties within 2.3 km get 30% reduction. - RES £27,000 community fund. - enough power for 9,000 homes |
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Local disadvantages |
Impact on landscape Noise pollution Construction traffic |
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Location |
West Devon. North of Spreyton centred between North Tawton and Bow.
DNP to south.
Exeter closest city 25km South East DBWF |
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Data: North Tawton |
1.5 miles 50/50 split opinion |
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Data: Bow |
1 mile 50% strongly agree |
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Data: Mortenhampsted |
15 miles 50% 4 & 5 Most against settlement on transect In DNP |
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Data: Okehampton |
63% said "3" Rush hour |
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Data: Beaford |
45% strongly against 2nd closest on transect Anomolous Small village, rural , elderly demographic |
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Planning process |
14% attended 12 years Spreyton 86% attended = anomolous |
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Spreyton |
Traditionally against After construction 57% in favour |
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What percentage said they were effected |
20% |
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Spearmans rank value and level of certainty |
-0.52 / -0.53 95% certainty |
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What is Chi Squared |
Observe sample against expected distribution.
To determine if two variables are independent of each other. |
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Advantages of chi squared (state 3) |
- can be used for only one variable. - can be used to see if two variables linked. - categories / arbitrary e.g pebble roughness - results tested for stat significance - Allows null hypothesis to be tested |
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Disadvantages of Chi squared (state 3) |
- time consuming and complicated. - test only for raw values (e.g not percentages). - sample size must be large enough generally over 5. - not used to test correlated data. - does not indicate amount of variation. |
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What is Mann- Whitney U test |
asses if two sets data from same population
If they are distributions same pattern
If from diff popus distributions diff
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How Mann Whitney U? |
Lowest U values LESS than critical value |
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Advantages Mann Whitney U (state 3) |
Can be used with SMALL sample sizes (5-20)
Can use arbitrary scale
Each sample set doesn't need same no of observations |
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Disadvantages of Mann Whitney U (state 3) |
Ranking complicated Two samples must be independent Unreliable if sample size > 20 |
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Spearman's Rank advantages (state 3) |
Easy to identify strength and direction of correlation
Allows to prove/ disprove hypothesis
Tells if relationship significant + how confident you can be |
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Spearmans rank disadvantages (state 2) |
Only indicate strength of link, not cause.
Averages out data
Unreliable for few sets of data. |
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Scatter graphs what? |
Relationship two variables
Shows correlation and nature (pod or beg)
Trend line can be added |
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Scatter graphs advantage (state 3) |
Identify patterns Anomalies easily identified Trend shows if need stats test |
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Disadvantages of scatter graphs (state 2) |
Position best fit subjective Need stats test for confidence |
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Triangular graphs advantages (state 3) |
Only method for 3 variables
Shows dominant variable
Shows precise values
Summarises large amounts of data
Clustering of points |
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Disadvantages Triangular graphs (state 2) |
Needed as percentages
Only data in three groups
Need lots points for clustering
Lose raw data |
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Pie charts advantages (state 3) |
Can be located Easy if 2/ 3 segments Can be proportional |
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Pie charts disadvantages (state 2) |
Lots small segs diff to interpret Diff to access actual/ raw data Locating pie charts may obscure data |
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Kite diagrams advantages (state 3) |
Visual Easy comparison Shows spatial changes Large no species can be plotted |
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Logarithmic scales advantages (state 3) |
Shows rates of change Exponential growth =straight line Large range data Suitable scales Smaller values plotted more accurately |
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Disadvantages of logarithmic scales (state 2) |
Zero can't be plotted
Positive and neg can't be on same graph
Further up less accurate
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Chloropleth advantages (state 3) |
Visual
Anomalies easily identified
Easy to complete
Versatile - can be used for wide range of data |
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Chloropleth disadvantages (state two) |
Gives impression of abrupt change at boundaries
Hard to distinguish between shades
Categories difficult to decide and each category has high variation within |
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Iso line advantages (state three) |
Groups data that is irregular or inconvenient form
Avoid abrupt changes at boundary
Can read specific data off map
Gives idea of rates of change |
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Isoline disadvantages (state 2) |
Estimation of line position
Unsuitable for patchy distributions
Need lots of data points |
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Flow lines |
Specific route and amount of movement =thinckness |
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Desire lines |
Straight from A to B , thickness = amount of movement |
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Trip lines |
Straight from A to B. Doesn't show amount. |
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Advantages of lines (state 2) |
Easy to draw
Visual
Thickness can be measured to calculate exact value
Allows changes in movement to be compared |
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Lines disadvantages (state 2) |
Confusing and complicated if overlap
Desire and trip don't show route
Trip lines diff if more than one from same place to point of interest
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Maps with proportional symbols advantages (state 2) |
Spatial variations
Proportional circles can be made into pie charts = more date. Actual value can be calculated if have scales
Easy with GIS and maps |
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Disadvantages of proportional symbols (state 3) |
Can overlap / have to be placed off map (don't fit)
If data lots similar values size symbol =ineffective comparison
Time consuming by hand |
