A few supplementary points added to survey of tick sheets

Physical, practical and psychological aspects must be thoroughly treated and then enhanced with valuable layers through work on city qualities (both visual and pragmatic), which can root people in the space-----means city space perform well.

Physical:
(1)Safe
Street light;
CCTV;
Separated road of different functions or shared road;
Pedestrian’s priority (continuity of the pavement);
Consideration for bicyclist;
Warning boards and signs;
Window light at night;
Gate and fence;
Transition from public to private (semiprivate space for interaction);Car-free areas (St linked to the main road of Victoria Rd);

(2)Green
Gasoline used (number of cars);
Climate: humidity/wind chill (low buildings and trees alongside can reduce the strength
of wind)/solar heat/average temperature;
Lighting;
Litter bins distribution;
Bus station (How large is area that a bus station need cover?);
Plantations;

Practical:
(3)Healthy
Sedentary and moving activities;
Exercise space;
Noise;
Sunlight;
Proportion of walking/bicycling/public transportation/private car;
Pollution;
Proportion of the road-----traffic lane, bicyclist, pedestrianism (room for walking);

(4)Wealthy
Infrastructure, for examples: bench, plants, bollard;
Varied materials for city’s visualization;
Proportion of necessary activities and optional (recreational) activities;

Psychological:
(5)Sense of Communities
Average size of household, number of residents per hectare;
Community bulletins and boards and signs;
Advertisements for the public community area or infrastructures;
Communication among people on the public space;
The frequency of varied facades in the length of the road;
Human scale or traffic scale;
Street furniture that provides ”talkscapes”;
Unhindered sightlines;

(6)Learning
Artistic display (installations and temporary works for children learning);
Schools;
Educational institutions, for examples: exhibition, art gallery, theatre;

Mapping Colour

I'm not entirely sure where this idea came from, where it's going or, more importantly, how successful it will be but the intention is to map colour using images taken on site. Each image will be analysed and assigned one of three colours - Red, Green or Blue, thus reducing the information contained within to a basic form. The colour will be decided based on average RGB values within the image. The possible outcome is that Red will highlight built up/ residential areas, Green will highlight 'green' space and Blue will highlight empty or grey spaces when the final map is published. There is then the potential to integrate the results with the mindstorm in some way, as this recognises RGB colour.

How to calculate RGB Values...

I initially thought that a program within the adobe suite would allow us to do this but couldn't find anything suitable. In my search I came across 'ImageJ', a java based programme developed by the National Institutes of Health in the US. A free download of this software provides the 'basic' package which is capable of analysing and processing images. Reading through the user guide reveals a whole host of things to experiment with but the main purpose of the program is to install/write java plugins, one of which gives average RGB values.