The following section illustrates the construction of the urban performance model in JMP. A

Data Preparation

  1. File -> Open -> “segment.tab“
  2. Export segment table as csv
  3. Tables -> export -> “segment.csv“
  4. The table should look like the following B

Simple Linear Regression

  1. Open csv in JMP : File -> open -> “segment.csv” C
  2. Analyze -> Fit Y by X D
  3. Y,Response -> pedmov*
  4. X, Factor -> NAChRN
  5. Press OK
  6. This shows a scatterplot between the Y and X variables E
  7. Is association positive and linear, what does it mean?
  8. It is common in space syntax research to transform the pedestrian movement data by Logging both the dependent and independent variable. Log_pedmov= Log(pedmov + 2)

Multiple variable regression

  1. analyse -> fit model
  2. Y -> set Log_pedmov F
  3. Construct Model effect -> add -> set spatial accessibility, transport, land use, urban design variables G
  4. Press Run -> results G
  5. Statistics inference (G blue circle) Remove variables that do not reach following threshold. Use as simplest a model as possible.
  6. R-square (0 – 1.0)  : overall model explanation power.
    If r2< 0.5, the model explanatory power is too low.
  7. t-ratio > 2 or <-2 : threshold for significance
    p-value < 0.01 : threshold for significance
  8. save and interpret results (G red circle)

Press link for an animation of the steps.