On this page you can find material from the book Human Geography of the UK. To find out more about the book, please go to the book overview.
There is a newer version of this book.
Files available to download:
- All Files ZIP: 11.6 MB - zipped file containing all maps and Excel files
- Excel File Extra 1 - Detailed population map Microsoft Excel: 451.5 KB
- Excel File Extra 2 - Elections 1832-2001 Microsoft Excel: 2.7 MB
- Excel File Extra 3 - Appendix: the places mapped in this book Microsoft Excel: 40 KB
- Historic Series PDF: 195 KB - PDF file desribing the creation of the 1832-2001 election data series
Chapter 1: Maps … a different view of the United Kingdom
Chapter 2: Birth … and the suburban pied piper
Chapter 3: Education … the sorting out of the children
Chapter 4: Identity … labelling people and places
Chapter 5: Politics … counting democracy, wasting votes
Chapter 6: Inequality … income, poverty and wealth
Chapter 7: Health … the sedimentation of society
Using the data in the file 'Extra2_elections_1832_2001.xls', we have created an animation showing the winners of each seat for every election from 1832 to 2001.
There is one Excel file per chapter, plus some extra ones. These can all be downloaded together (click on 'Files') , or seperately under the page for each chapter. If you don't have Microsoft Excel, you can download the viewer.
Each file contains all the Figures, Tables and Data used in each chapter. These excel sheets can be manipulated. For example, by selecting the cells that contain a map and altering the "conditional formatting" of those cells alternative shading and classification schemes can be employed. By altering the data to which the figures in the "Labels" spreadsheets refer to entirely different maps can be drawn. By manipulating the data new data and information can be generated. In almost all cases the data is given in more detail, for smaller geographical units, than are used in the figures. The file Extra1_detailed_map shows how that more detailed data can be mapped and gives population data not included in the book, and the file Extra2_elections_1832_1997 provides more data which there was not space in the book to show. In those chapters where the Figures are not all dynamically linked to the data a dynamic map sheet is provided to allow for this. A final file provides the text of the appendix: Extra3_appendix.
There are several figures taken from each chapter available here in colour. Simply click on the small 'thumbnail' image to see the larger image. You can save these by right-clicking (if you are a Windows user) and choosing 'Save picture as'. If you would like all of these images for your own use, click on 'Files' on the menu.
Please acknowledge the source if you use this material in your own work.
The maps show European Parlimentary constituencies drawn up in 1999. Details of these can be found in the file Excel File Extra 3. Figure 1.1 is the index map, where you can locate the constituency you are interested in.
You are used to a particular map of the United Kingdom. This is the map you grew up with, the one used in most textbooks and which appears on television every evening in the weather reports, the map which shows the country as it appears from space. However, looking at the United Kingdom from space is not the best way to see its human geography. More people live in London than Scotland for instance. The alternative map of the UK, shown in Figure 1.1, presents a picture which tries to give the people of the UK fairer representation and which allows us to see variations within large cities alongside variations between regions and between more rural areas simultaneously. The map is of the 85 constituencies drawn up in 1999 for the European Parliamentary elections of that year. Northern Ireland was defined as one large constituency that would return 3 members of the parliament. At the last minute the UK government chose a different voting system for that election and so these areas were not used in that election. We use them here as they present a way of grouping the population of the UK into large adjacent areas each containing roughly the same number of people. Each is given equal prominence on the map (although some are a little taller than others).
While you may not be used to the map shown in Figure 1.1 the names of the areas on that map listed in the file 'Extra3_appendix.xls' should hopefully be a little more familiar. These are the labels for the 85 constituencies used in this book. Most are named after old counties or parts of counties. They were designed to each contain roughly half a million electors (people aged 18 or over) and to combine together those electors who had most in common geographically (although see the exercise at the end of Chapter 5 to ascertain the veracity of such a claim. Once you have identified your constituency you can see where, on this new map of the UK, you have lived.
Figure 1.1 shows not only each area of the country draw roughly in proportion to the size of its population, but also gives each area a height. The disadvantage of showing a topography (surface) is that some areas can be slightly obscured behind others which then appear more prominent. An angle of view also has to be chosen and that too influences what is seen. The advantage of showing a topography is that it is always possible to view what is being mapped in relation to another variable depicted by the height of each area. In physical geography it is height itself which is usually depicted, rivers run down mountains, temperature tends to fall as the land rises and so on. In human geography there is no single obvious variable to use to map the basic contours of the social landscape. However many social variables produce very similar landscapes and so the precise choice is not critical. Here I have taken the first life chances measured in this book (in Figure 1.5) as this should be of interest to the anticipated reader. Height on all the maps drawn here is in proportion to a child's chances of not winning a place to attend university. These chances have been turned into a categorical variable to simplify the landscape. The higher an area appears the fewer people growing up there go on to university.