First of all, the data was downloaded from CasWeb, and then generalization methods were applied in order to make the maps’ appearance more efficient. The map was sited at the scale of 1:510,000.
One of the tools applied to the map is smooth polygon, which improves cartographic quality and reduces the complexity of sharp angles. The other tool is known as the simplified line and is used to reduce the graphic appearance of bends without changing their original shape. Inset map at a larger scale is also required to represent the small urban areas. Leader symbol was created using numeric symbols (numbers) instead of lines in order to deliver the map clearly and with less complexity. There was also the need to use the Maplex toolset to have more flexibility on labels position and size.
Two family fonts were used in the map i.e. Times New Roman for the title and Arial for the rest of the labels. Fitting strategy for location text is listed as follows:
Small polygons: curved position with low size limitation up to 6 pts
Medium polygons: the horizontal position with the option of stuck labels when possible.
Large polygons: the horizontal position with the option of stuck labels when possible as well as allowing the letter spacing across the polygon.
Once more, the data was downloaded from for the same source CasWeb, and then generalization methods were applied in order to make the maps’ appearance more efficient. Similarly, the map was sited at the scale of 1:400,000. The methods applied in this map are slightly different., but the goal should remain the same which is delivering the map in the best cartographic application. The purpose of the map is to show the total unemployment in Norfolk and the methods applied to this map as follows: Methods applied Smooth polygon to improve cartographic quality and reduce the complexity of the sharp angles. Simplify line to reduce the graphic appearance of bends. There are two types of simplify line and the one chosen for this map is bend simplify, which is more likely to have a similar view to the original shape. Dot sizes were created using the best visual appearance. Calculation was also required to establish the size of a dot (Mackay Nomograph, alignment graph) but unfortunately, it didn’t go well. Dot value was chosen by identifying the minimum and the maximum values in the table of attributes Dot placement was chosen by applying masking above the dot density map and eliminating the unsuitable areas for dots placement Data manipulation was also required to obtain the number of unemployment for both males and females in Norfolk. Map of United Kingdom to establish an overall view of where the county is exactly located. Mentioning the dot value as well as the dot size in the legend of the map is significant to gain an overall impression of the density. Map report for households with no cars in Norfolk Once again, the data was downloaded from for the same source CasWeb, and then generalisation methods were applied in order to make the maps’ appearance more efficient. The map was sited at the scale of 1:150,000. The purpose of the map is to show the lack of car ownership in Norfolk and the methods applied to this map as follows: Methods applied, strategy and techniques Inset map at larger scale to prevent the symbols from overlapping Flannery compensation noted at the map to inform the reader Inset