Lesson 8: Visualising and Analysing Geographic Data
Dr. Kam Tin Seong Assoc. Professor of Information Systems (Practice)
School of Computing and Information Systems, Singapore Management University
20 May 2025
What will you learn from this lesson?
Introducing map
Properties of geographical data
Geographical data models
Map projections
Typology of maps
Reference maps
Thematic maps
Proportional Symbol Map
Choropleth Map
What is a Map?
A map is a model of real world depict by a collection of cartographic symbols or/and visual abstraction.
What is a Map?
An interface between geographical data and map users.
A Map and Geographical Data
Types of geographical data
How location information are registered?
Geographic Coordinates Systems
Projected Coordinates Systems
How location information are registered?
Geographic Coordinates Systems
A geographic coordinate system defines two-dimensional coordinates based on the Earth’s surface. It has an angular unit of measure, prime meridian and datum (which contains the spheroid).
A projected coordinate system is defined on a flat, two-dimensional surface.
A projected coordinate system, unlike a geographic one, has the advantage that lengths, angles, and areas are constant across the two dimensions. This is not true when working in a geographic coordinate system.
A projected coordinate system is always based on a geographic coordinate system that can use a sphere or spheroid.
Reference maps emphasize the location of spatial phenomena, such buildings, roads, vegetations, rivers, etc. Some of popular reference maps are topographical map and internet map such as Google map.
Thematic Map
Thematic maps emphasize the spatial pattern of geographic attributes or statistics about places and relationships between places such as Life in Los Angeles.
Choosing -Appropriate classification method for displaying data
Appropriate number of classes
Techniques in data analysis
Using the classification histogram
Normalizing data
Qualitative Thematic Maps
Visual Variables and Cartographic Symbols
Qualitative visual variables are used for nominal scale data.
The goal of qualitative visual variables is to show how entities differ from each other.
The visual variables that do a good job of showing ordinal differences are: colour value, colour saturation, size and texture/grain.
Figure on the right for examples of these four ordinal visual variables used each in point, linear and areal symbols.
Qualitative Thematic Map
Point symbol map
Different point symbols are used to represent school types.
Qualitative Thematic Map
Line symbol map
A road map is an example of a thematic map. It shows the road network of an area. In this map, lines with different colour intensity and tickness are used to differentiate hierarchy of roads.
Qualitative Thematic Map
Area map
Land use map below is a good example of a discrete thematic map. In this map, different colours are use to represent different land use types.
Quantitative Thematic Map
Visual Variables and Cartographic Symbols
Quantitative visual variables are used to display ordinal, interval or ratio scale data.
The goal of the quantitative visual variable is to show relative magnitude or order between entities.
The visual variables that do a good job of showing ordinal differences are: colour value, colour saturation, size and texture/grain.
Figure on the right shows of these four ordinal visual variables used each in point, linear and areal symbols.
Proportional Symbol Map
The proportional symbol technique uses symbols of different sizes to represent data associated with different areas or locations within the map.
How to size circles incorrectly and correctly?
Figure below explains how attribute values are map on circles. One strategy to overcome this problem is to use square instead of circle.
How to make proportional symbol maps clearer?
When designing a proportional symbol map, one of the important consideration is to avoid the circles blocking each other. One possible strategy to overcome this problem is to applying opacity (also known as transparency).
Proportional Symbol Map: Pie Chart Map
One important characteristic of proportional symbols is that they can easily be designed to represent more than one data value per location. Among the most common example is a pie chart map in which a circle is scaled proportionally to some total, and the size of wedges within the circle is scaled to depict a proportion of a total for two or more sub-categories.
Proportional Symbol Map: Bar Chart Map
Proportional side-by-side bar map places side-by-side bar chart on a map based on the location of the observations.
Proportional Symbol Map - Junk Map
When preparing a proportional symbol map, it is important to ensure that the geographical level used is the same.
By plotting a proportional symbol map and a bricks map side-by-side as shown below, it is clear that bubbles of graduated sizes proportional to the value ranges that they represent can be difficult to distinguish than the bricks.
Dot Density Map
A dot-density map is a type of thematic map that uses dots or other symbols on the map to show the values of one or more numeric data fields. Each dot on a dot-density map represents some amount of data.
A choropleth map is a type of thematic map in which areas are shaded or patterned in proportion to a statistical variable that represents an aggregate summary of a geographic characteristic within each area, such as population or per capita income.
Classified choropleth map
A choropleth map can be either classified or unclassified.
A classed choropleth map combines areal units into a smaller number of groups. Interval levels may vary, but typically 4 to 7 are used in a map. There is different classification techniques used to divide up the intervals.
Unclassified choropleth map
An unclassified choropleth map is similar to a classed choropleth map; however, an unclassed choropleth maps do not have an averaged statistic towards each particular colour.
Choropleth mapping technique - Number of classes
The readability of a choropleth map will be affected by the number of classes used.
When a small number of classes is used, the spatial distribution reveals will be very limited.
When an appropriate number of classes is used, the spatial distribution reveals will be clear.
Choropleth mapping technique: Number of classes
Figure below provided a mathematical method to determine number of classes used for preparing a choropleth map.
Choropleth mapping technique: Methods of choosing classification scheme
Based on the nature of the distribution
quantile, equal interval, natural breaks, standard deviations, defined interval
Arbitrary
Can be based on round numbers.
Examples: Grouping according to age or census housing categories
Can result in empty categories
Data classification method: Equal interval
Divides the range of attribute values into equally sized classes.
Data classification method: Quantitle
Same number of features per class.
Data classification method: Jenks (also known as Natural breaks)
Default Jenk’s statistical optimization by finds natural groupings in the data.
Data classification method: Standard deviation
A measure of dispersion. Use if the distribution approximates a normal distribution.
Choropleth map - Colour scheme
ColorBrewer is an online tool designed to help people select good color schemes for maps and other graphics.
Colour Scheme Tip
Avoiding multiple colours in choropleth mapping
Stick with a single hue (or a small set of closely related hues) and vary intensity from pale colours for low values to increasingly darker and brighter colours for high values.
Trellis choropleth map
Trellis maps , also known as small multiple maps, are composed of many maps arrange side-by-side, and sometimes stacked vertically.
Small multiple maps enable the visualisation of how spatial relationships change with respect to another variable, such as time.
Geofacet
Geofacet takes data representing different geographic entities and apply a visualization method to the data for each entity, with the resulting set of visualizations being laid out in a grid that mimics the original geographic topology as closely as possible.