Revision Lecture Flashcards

1
Q

who said ‘geography is primarily concerned to describe … the variable character of areas as formed by existing features in interrelationships’ ?

A

Hartshorne, 1939

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2
Q

who said ‘Geography has to be conceived as the science concerned with the formulation of the laws governing the spatial distribution of certain features on the surface of the earth’

A

Schaefer, 1953

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3
Q

What is Physical Geography?

A

Sub-discipline of Geography concerned with the study of processes and spatial patterns in the natural environment like the atmosphere, hydrosphere, cryosphere, biosphere, and geosphere, as opposed to the cultural or built environment, the domain of human geography.

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4
Q

when was catastrophism?

A

until 1830s

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5
Q

when was uniformitarianism?

A

1830-1930

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6
Q

when was Davies’ Cycle of erosion

A

1890-1950

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7
Q

what is ‘catastrophism’?

A

Ascribes the origin of Earth’s landforms to one or more “catastrophic” themes:

George Cuvier (1769-1832)
Robert Jameson (1774-1854)
Archbishop Ussher, 1650
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8
Q

what is ‘uniformitarianism’?

A

Also termed Gradualism

“The present is the key to the past”
(coined by Whewell, 1832):

Natural processes shape landforms through
gradual changes over long periods of time.

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9
Q

what is Davisian cycle of Erosion?

A

(a) young uplifted stage with very limited incision
(b) mature stage with deep valley incision and complex topography
(c) old eroded landscape with few topographic features

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10
Q

what is ‘glacial theory’?

A

1846 - louis agassiz

  • multiple glaciations
  • most of northern europe in N America, N Asia, had been covered by ice sheets during a period later termed the pleistocene
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11
Q

Dynamic equilibrium in stream flow (Gilbert 1877)

A
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12
Q

Quantitative revolution (1950s): move to quantitative and statistical approaches (e.g. Arthur Strahler)

A
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13
Q

Rejuvenation of equilibrium concept (Hack 1960)

A
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14
Q

The Equilibrium Concept

A

Equilibrium over three timescales:
(a) dynamic equilibrium; b) steady-state equilibrium; (c) static equilibrium

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15
Q

Climatic geomorphology (Julius Büdel, 1960s)

A
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16
Q

1950s Advance in quantitative geography

Empiricism

A
17
Q

Cause – effect relationships (1970s)

The Scientific Method

A
18
Q

Magnitude – Frequency concept

A
19
Q

fieldwork strengths

A
  • Measurements in ‘real world conditions’
  • Gives better understanding of the system
  • Observation together with measurements
  • Changeable conditions
  • No major limitations with scale of experiment
20
Q

fieldwork weaknesses

A
  • Environmental conditions difficult to control
  • Even for long-term experiments conditions may be non-representative (odd year)
  • Equipment sometimes vandalised
  • Challenging conditions: cold, hot, wet, insects..
21
Q

Lab work strengths

A
  • Measurements in ‘controlled conditions’
  • Very precise measurements of properties
  • Not so restricted by logistics and time
22
Q

lab work weaknesses

A
  • Difficulties in scaling up results from the laboratory to the field
  • The simplicity of experiments ignore complex feedbacks and inter-linkages in the real world (similar to models)
  • Difficult to judge how representative it is in real conditions
23
Q

remote sensing advantages

A

-Spatial coverage - Global
& Increasingly high resolution
- Regular repeat observations - Frequency depends on instrument and orbit
- Easy access to data - Most data is available over the internet
- Huge archive of data - Multi-decadal for some missions
- Variety of derived products

24
Q

remote sensing limitations

A
- Trade off between spatial and temporal resolution
Polar orbiting v geostationary
Swath width v resolution
- Large amount of data to handle
Can take time to download and process
- Length of time series
May not be as long as in-situ observations
- Continuity of observations
Instrument failure or mission lifetime
25
Q

what is modelling?

A
  • Physical (process-based) and empirical (observation-based) models
  • Tool for calculating consequences of a theory
26
Q

advantages of modelling

A

Allows testing of theories of how a system works

27
Q

disadvantages of modelling

A
  • Simplified version of real world: ignore complex feedbacks and inter-linkages
  • Models may predict correctly for the wrong reason
28
Q

Good” and “Bad Science”

A
  • The dangerous powers of preconception
  • Problems with statistical errors
  • Problems with not using original, reliable sources
  • Problems with being selective
  • Be critical and examine all evidence
29
Q

what are scale issues?

A

Scale expansion via aerial and satellite remote sensing

BUT predictions at local scales remain uncertain, due to large spatial variability of natural environment.

Advance in fine-resolution techniques (microscopy including SEM and AFM)

BUT: problems of representativeness (up/down-scaling)

Key issue of establishing spatial and temporal representativeness

Number of samples depends on system variability

Sampling techniques
Random
Systematic
Stratified

Expanding the temporal scale

Space-for-time substitution