IntroductionDataMethodologySpatial AnalysisConclusion

Contact:

jchau@sfu.ca

Updated:

12.06.04

 

Spatial Analysis

Multi-Criteria Evaluation

The MCE is done by utilizing the Decision Wizard within IDRISI.

Spatial constraints to the evaluation: The 2001 census GVRD raster file (lancon.rst)

MCE Factor Manipulation

MCE factors

Input File Name

Fuzzy

Factor Standardization

Output File Name

GVRD income rates

income.rst

Yes

Monotonically increasing - Sigmoidal

incomefuzz.rst

GVRD population density

popdens.rst

Yes

Monotonically decreasing - Sigmoidal

popdensfuzz.rst

GVRD major waterway cost distance

water_costdist.rst

Yes

Monotonically decreasing - Sigmoidal

waterfuzz.rst

Downtown Eastside cost distance

dtes_costdist.rst

Yes

Monotonically decreasing - Sigmoidal

dtesfuzz.rst

Analytical Hierarchy Process (AHP)

 

incomefuzz

popdensfuzz

waterfuzz

dtesfuzz

incomefuzz

1

 

 

 

popdensfuzz

1/3

1

 

 

waterfuzz

1/5

1/3

1

 

dtesfuzz

1

3

5

1

Calculated Weights: Module Results

The eigenvector of weights is :

incomefuzz: 0.3899

popdensfuzz: 0.1524

waterfuzz: 0.0679

dtesfuzz: 0.3899

 

Consistency ratio = 0.02

Consistency is acceptable.

 

MCE Result

Result image output: batcave.rst

Selected best 200 Acre (neighbourhood sized) area for objective result output: best area for batcave.rst.

 

Least Cost Pathway

Least Cost Pathway Model was used to produce a least cost pathway from potential residency areas to the Downtown Eastside

  • First step was to separate the different optimal areas into unique identities using the group module
  • Assign the area of focus through the means of a Boolean classification
  • Import and convert the road raster layer (roads.rst) to a integer binary file using the convert module
  • Assign friction values to the roads depending on the type of roads:

Road ID

Road Type

Friction Value

0

Non-Road

999

1

Expressway

2

2

Primary Highway

4

4

Major Road

8

5

Local Road

64

6

Trail

256

  • The road friction layer (road_friction.rst) is then converted back to real binary where it can be combined with the source area (cave#.rst) to computate the cost distance using the cost module
  • The pathway module is then used to interpret the best pathway between the source area and Downtown Eastside (downtowneastside.rst)
  • This pathway (leastcost#.rst) is the vectorized into a line (batpath#.vct)

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