Resample

Resampling was done in order to register the data in each raster to a common raster. In this case, 'Parks distance' was used as the common input grid

 

 

 

 

 

 

 

 

 

 

 

 

 

Macro Modeler

IDRISI`s macro modeler is a graphical environment for building and executing multi-step models.

The macro modeler was used to RECLASS the imported rasters in order to become suitable inputs for the MCE.I used this module because I wanted to create maps in a Boolean format for easier manipulation.

 

 

Distance

For Libraries, Parks, Community Centers and Schools in Vancouver, distance is significant. The DISTANCE module was used to show proximity in Vancouver. Lower values represent closer distance to locations.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Reclass

All five outputs looked the same, so I have only posted one RECLASS Boolean image. All the negative values were assigned a value of zero (0 -9999 1) and all the values above zero, were assigned a value of one (1 1 10000).

Methods

This section outlines the number of steps that were done in IDRISI in order to prepare and manipulate the data for the Multi Criteria Evaluation.

 

 

 

Community Center Distance

Library Distance

Park Distance

School Distance

Reclass