skills section A

→ used for discrete and discontinuous data

→ simple to read/visually strong

→ can easily compare data

→ difficult to show precise values

→ easy to see totals as well as break down to individual data

→ the floating bars can be difficult to read and spot patterns

→ easy to compare and see patterns

→ can see who is most reliant on one thing

→ can’t display totals or numbers nor compare numbers

→ used for continuous data on the x-axis, e.g. height

→ similar to bar chart (see above)

→ used to plot data over time

→ easy to spot trends

→ easy to compare two or more data sets

→ can be hard to read specific data

→ used to plot percentages, should all add up to 100%

→ simple to read and spot patterns

→ can be colour coded appropriately

→ are the percentages/data given?

→ cannot represent too many data points or it may become cluttered

→ some categories may be overly vague

→ similar to pie chart (see above)

→ additional data given to compare renewable vs. non renewable energy

→ 3D pie charts overexaggerate the front segments compared to the back segments

→ easily see range of data and anomalies

→ data can sometimes be very close together and become confusing

→ better with lots of data

→ used when continuous data on both axes

→ need BIVARIATE data

→ easily shows correlation and anomalies

→ can draw a line of best fit → straight line (trendy is bendy)

→ shows a ‘slice’ through a river or landscape

→ the scale on this one is bad/unhelpful

→ dates aren’t equally spaced

→ half figures are hard to read off/interpret

→ easy to spot patterns and the overall trend

→ histogram + line graph (see above)

→ could be asked questions about data on this graph

→ this is for an LIDC, classic pyramid

→ to describe, talk about: three groups, anomalies and specific data

→ good for spatial relationships, e.g. compass points or bearings

→ colour coded

→ easy to see patterns

→ can be very difficult to read exact data

→ similar to radial diagram (see above)

→ see trends and patterns

→ can’t be colour coded

→ no precise data, only a score

overall, look for:

→ type of data being represented

→ how easy to read specific data

→ how easy to make comparisons

→ how easy to spot trends/patterns

→ is it colour coded

→ is it vague

→ look at the scale

compass points

map keys

interpret an atlas map

interpret an OS map

read heigh with contour lines, and determine steep or gentle relief

interpret base maps

interpret scale

1:10000 means 1 cm on the map represents 10000 cm in real life

1:25000 means 1 cm on the map represents 25000 cm in real life

six figure and four figure grid references

→ use the site Geo for CXC for a quiz on grid references

distances

using a ruler for a straight line and referring to the scale

for a non-straight line:

→ mark on the map the route you wish to measure.
→ place the paper on the map and make a mark at the start of the route
→ every time the route curves, pivot (turn) the paper to continue to follow the route and make another mark
→ pivot the paper until you get to the end point
→ either hold the paper against the scale bar at the bottom of the map or measure it to work out the distance

Cross Sections I understand what a cross-section and a transect are and can interpret one.

Interpretation I can describe, interpret and analyse geo-spatial data presented in a GIS framework.

• Choropleth maps

• Isoline maps

• Flow line maps

• Desire-line maps

• Sphere of influence maps

• Thematic maps

• Route maps

• Sketch maps - interpret, draw, describe, evaluate