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CASE STUDIES
Local place case study - Kendal
Growth of Kendal - physical growth and reasons
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Created by
Bethany Pringle
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Cards (15)
Mapping Kendal's growth > Speed's map 1612:
>
Qualitative
>
Physical
and
human
features visible:
Castle
prominant but no other settlements E of Kent
Way to
London
3
bridges
development on W side of
river
Evaluation
:
+
key
for
places
but no
scale
so can't measure
distances
+shows
morphology
-no
N
arrow
-Castle not to scale
Mapping Kendal's growth > Hoggarth's map (1853)
>
Qualitative
>Changes visible compard to Speed's map:
Gooseholme
an island
Strammongate more developed
St George's
church built
>
Phy
and
human
features:
more development E of
river
>
Evaluation
:
+shows individual bridges and buildings
-no scale or N arrow
-old calligraphy so hard to read
Mapping Kendal's growth > Wilson's map (1861's)
>
Qualitative
>Changes from
Hoggarth's map
:
Scale and arrow
colour
more development NW
railway station
>
Phy
and
human features
:
Lancaster canal
railway took up lots of space
w kendal dominance
>Evaluation:
+detailed and see whole town
+to scale
-old calligraphy
switch in orientation >
London
now parallel > illustrate importance of kendal
Mapping Kendal's growth > Cary's map (1870s)
>
Qualitative
and
quantitative
>Changes from
Wilson's map
:
wider view > zoomed out
2
railway lines
meet
can see surrounding area as well
>
Phy
and human features:
contour lines
footpaths
tributaries
>Evaluation:
+
grid lines
pinpoint locations
-Busy and hectic > hard to read
-No N arrow
-
less detailed
, no names of streets
Mapping Kendal's growth > OS map (1950s)
>
Quantitative
>Changes compared to Cary's map:
colour
grid lines to same values
more development N of train line
contour lines
>Phy and human features:
Train line
>Evaluation:
+road colour categorised
+contour lines
-No N arrow
-No individual building detail
more symbols key
Mapping Kendal's growth > OS map (present day)
>
Quantitative
>Changes compared to OS map
1950s
:
more detailed
more development E of river, N of train
increase in
residential
land use
>
Phy
and human features:
Footpaths
Bypass
>Evaluation:
+
Higher
definition
of
colours
-Zoomed out more so harder to read
-smaller details
Mapping Kendal's growth > CDRC maps > dwelling age map of Kendal:
>
Quantitative
>
Phy
and human features:
age
demographics
of buildings
1950s
N
1960s
to E
2000s
to S, SE
>
Evaluation
:
+Colour
+Clear key
+Clear boundaries
-genralised
-large gap between bands
-Not individual
-Similar colours
Mapping Kendal's growth > Aerial photos from 1929:
>Quan
>Phy and human features:
train station
residential properties
roads
fields
river and bridge
Castle estate
>Evaluation:
+allows for spatial and visual comparisons
-Black and white
-no specific data for names/ages
Mapping Kendal's growth > Aerial photos from 1952:
>
Quan
>
Phy
and human features:
train station
residential properties
roads
fields
river
and
bridge
Castle Estate
>Evaluation:
-Crowded
-B&W
-Only see W of river
Mapping Kendal's growth > Allom and Le Petit's print engraving (1830):
>Qual
>
Phy
and human features:
sense of pride in bridges
agri
gloomy
>
Evaluation
:
-Not to scale
-No colour
Mapping Kendal's growth > Bradshaw's oil painting (1832):
>
Qual
>
Phy
and human features:
ppl in foreground placing wool and enter frames for stretching wool show importance of woolen indi and rural nature
castle 'looms' > 'Auld grey town'
>Evaluation:
+colour
-Little evidence of indi development e.g. Canal Head
-Stylised rather than true representation
Analysing representations > Advantages of qualitative data:
Art can reinforce as well as reflect
place identity
and uniqueness
Many layers of place identity can be represented at the same time
Can compare with the past
timescales
Analysing representations > disadvantages of qualitative data:
Very
difficult
to
compare
places
Based on
opinions
and
choices
made by those creating the
source
Some things are
ignored
, such as what is on the
outside
of
photograph
frame
Analysing representations > advantages of quantitative data:
Data is
reliable
and factual
Data can be compared across
different
places
Can be used to compare data across
timescales
as well as
spatial
scales
Analysing representations > disadvantages of quantitative data:
Opinions are ignored
Averages can often hide the
outliers
or misrepresent a pattern
Geospatial data
can be unreliable and hide patterns, particularly at the edge of spatial intervals