BI-POLAR ANALYSIS
Bi-polar analysis and environmental quality
Bi-polar analysis is useful to assess variations in environmental quality at a particular location. The results of a bi-polar analysis can be plotted over a base map to create an isoline map.
First, you need to customise the bi-polar grid to suit your fieldwork. For example, you might want to use a scale 1-6 to avoid the trap of scoring 3 - simply because it seems easy to pick the middle.
|Location: Total Score at this Location: | ?/50 |
|Low Quality |1 |2 |3 |4 |5 |High Quality |Weighting |
|Litter and grime | | | | | |Clean streets |X 2 |
|Graffiti | | | | | |Clear of graffiti |X 1 |
|Over-crowded | | | | | |Very few people |X 3 |
|Unattractive floorscape | | | | | |Floorscape has attractive design| |
| | | | | | |features |X 1 |
|Poor quality street furniture | | | | | |Attractive street furniture |X 1 |
|Soundscape is noisy and | | | | | |Soundscape is calm and relaxing | |
|stressful | | | | | | |X 2 |
Using the grid above, the maximum possible score is 50 points for particular place.
If you use weightings you will need to justify why some elements are more significant than the others. Likewise, can you say that the variables are equally important?
Note that the score you give is only meaningful as a tool of comparison between places that you have studied. So you should aim to be consistent – as far as this is possible.
Finally, you should map the scores. You can then interpolate these scores to create some impressive isoline maps. Isoline maps are basically the same as maps that show contour lines for height. The map below can be added as a layer over your base map.
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