Lab 2.

Friday, 13. February.

Question 1:

The maps are here.

Question 2:

a) The layers ”forventet levealder”, ”endringer forventet …”, ”energibruk pr capita” and ”bnp/capita” is apart of what the book calls choropleth maps. In this type of map you separate between two types of variables; ”spatially intensive variable” and ”spatially extensive variable”. ”Forventet levealder”, ”endringer forventet …”, ”energibruk pr capita” og ”bnp/capita” are spatially intensive variable. This type of variable could potentially be for every point in the area. The layer ”totalt folketall pr land” is a spatially extensive variable. This type of variable is true for the whole area. We could then say that spatially intensive variables is field which is an of average of each area. The spatially extensive variable is a field of density, where the values are summed up or integrated to obtain each area’s value.

b) It is said that the spatially extensive variables are misleading, because this tells us the average for a whole area, while there might be big variation within the same area. They suggest that spatially intensive variables should be converted to spatially intensive form before they are being displayed as choropleth maps. With spatially extensive variable you could only see the average for an area, like a country. With spatially intensive variables you could compare different areas. If you look at my maps of Europe you can compare different European countries with each other. On a smaller scale, you could look at different regions of for example Norway. With the spatially extensive you just get an average for one area, like a country, without taking the for example the size of population into consideration. So as a “conclusion” you could say that if you use spatially intensive you could look at different parts of the area/population, but with spatially extensive you just look at the area/population as a whole.