College 1 + 2 Flashcards

All concepts and ideas from week 1

1
Q

What makes example 1 land-use change? And what makes it less good?

Example 1 :

Very local scale (Neighbourhood)

Recent changes (2001-2018)

Around Vu: zuidas

Photos from main building

A

Time series of location- specific observations

Intensive urban development, sudden stop and restart

More data is needed to understand and quanify this anecdotal evidence

Consistent set of photos are rare ()

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2
Q

What makes example 2 Landuse change? And what critique do you have?

Local scale (city)

Longer period (1850-2000)

Amsterdam

Bag, topographical maps and elevation data

Classic example urban planning

A

Smart combination of spatially explicit but essentially static data (urban exapnsion and intensification)

Reasonable quantitative

Limited thematic detail

Inaccuracy and uncertainty remain

Lot of work in data collection and preparation

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3
Q

What makes example 3 land-use change?

Regional scale

Equally long period (1850-1980)

Province of Noord-Holland

Digitized historic map

A
  • Time series of spatial- explicit data sets shows local developments: urbanisation, land reclamation and nature development
  • Offers possibility for quantitative spatial analysis
  • Distinguishes 10 landuse types
  • Laborious to obtain
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4
Q

What makes example 4 landuse change?

National scale

Long period (1900-2010)

Aggregate data : not spatially ecplicit

Statistical data

A
  • Time series of aggregate statistics offers possibility to quantify most important spatial processes: rise and fall of agriculture, urbanistaion, decline in nature
  • Around 15 types of landuse
  • High temporal resolution
  • No spatial information
  • Many methodological inconsistencies
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5
Q

What makes example 5 landuse change?

Global scale

Yet even longer period

Covering full glove at 5 min resolution

Model- based reconstruction of cropland coverage using various data sources

A
  • Rare example of an extremely long time series
  • Focus on single type of conversion: agricultural intensification
  • Extremely interesting for analysis of global change
  • Coarse resolution
  • Many interpolation and interpretation issues
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6
Q

What is the difference between land cover and use?

A
  • Land cover van be observed
  • Land use referd to the actual use the land is put
  • However for convenience we use land use referring to both cover and use
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7
Q

Name at least 4 ways Land-use is used (8):

A
  1. Habitat loss
  2. Loss of agricultural land, soil degradation, erosion and hydrological conditions
  3. Health- mosquitos
  4. Climate change
  5. Roddiman hypotesis- people in old times burned much forest = inefficient
  6. Global models of landuse and climate change
  7. Urbanistation
  8. Demograpics
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8
Q

With which tools can you use in GIS for land use analysis?

A

GIS can be used to visualize and analyze spatial information through:

  • Selection
  • Transformation
  • Aggregation
  • Combination
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9
Q

What does selection do?

A

Highlights certain feature in a data layer following a spatial query

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10
Q

What does transformation do?

A

Enhances certain features in a data layer through:

Classification

Filtering

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11
Q

What does aggregation do?

A

Reduces map info to a single value:

Spatial and non- spatial indices

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12
Q

What does combination do?

A

Compares different data sets in a structured way

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13
Q

What does combination do applied to land-use data?

Name 3 ways.

A
  1. Comparing data set with another data set (study development over time)
  2. Comparing data set with a “truth” data set (validation)
  3. Comparing a data set with a theoretical data set (test assumed relations)
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14
Q

Could you name some examples of basic data sets?

A
  • Satellite imagery and aerial photography
  • Topographic maps
  • Census or survey data (statistical)
  • Other thematic maps (cadastral)
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15
Q

Could you name some examples of data sets specific for land-use?

A
  • LGN (NL)
  • CBS soil statistics (NL)
  • Corine Land Cover (europe)
  • Globvoer or ghsl (world)
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16
Q

What are some data quality issues?

A
  1. Data quality depends on applied methodology:

Data acquisition

Interpretation

Analysis

  1. Involves human judgement (definiton of classes, but also classification subjective to context)
17
Q

What are some data quality aspects?

A
  • Spatial resolution (scale) (vb raster)
  • Thematic resolution (landuse- types)
  • Temporal resolution (time steps)
  • Geometric accuracy (projections)
18
Q

What are the advantages and disadvantages of the FAOSTAT data set?

A

Advantages:

  • standard software
  • simple and fast

Disadvantages:

  • not spatially explicit
  • no information on transitions
19
Q

How is the change calculated with grid cells?

A

10 * valueyear1 + value year2= value transition

20
Q

What are the advantages and disadvantages of a transition analysis?

A

Advantages:

  • shows spatial explicit changes
  • describes actual transition between types of use

Disadvantages:

  • Gis knowledge and software needed
  • data intensive
21
Q

Could you name the main conclusions about restrictive spatial planning in the Netherlands?

A
  • About 100km2/yr in 1995-2004 is claimed by urbanization and nature development
  • Randstad urbanizes most quickly
  • Spatial restrictions (partly) successful in preserving open space
  • Local exceptions follow compact city policies
  • Uncertain whether other policies work equally well
  • Matrix analysis powerful tool to analyze local landuse change
  • Limited data availability limits this type of analysis

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22
Q
A