Geographic Concept | Details | Example |
Beginning mapping | importance of location | zoom, pan, layers |
Geographic data modelling | raster versus vector | Points, Lines, Polygons and Pixels.... |
Cartographic theory | fundamental principles of cartography | simplicity, harmony, no map junk ... |
Data generalisation | introduction of types of and need for generalisation | Simplification, Selection, Omission, Displacement, Aggregation... |
Data classification | introduction to data classification rules and type of classification | Natural Breaks, Quintiles, Geometric Progressions ... |
Mapping conventions | elements that enhance user understanding of the map | scale bar, legend, north arrow, symbology.... |
Simple spatial analysis | introducing simple analysis computed using GIS | buffer, distance, overlay.... |
Uncertainty in geographic data | Impact of uncertainty on data | Modifiable Areal Unit Problem, ecological fallacy |
With such a small N we do not have a any statistically valid results but what we do have is some useful thoughts that support the thinking of the project team and the development of the scenarios and resulting site development.
We asked readers to prioritise the concepts based on a linear scale of 1 to 5, where a score of 1 represented a concept that was not relevant to new learners and a score of 5 signified a must teach concept for new users. Using these values, I have calculated a quick and dirty Score of Importance for each of the priorities, see the graph at the bottom. This score alongside the free text comments helps us to identify quickly what our readers think are the most important concepts to teach new learners of GIS.
Results :
- All of the concepts are relevant for new users of GIS to learn – but the timing of when they are introduced is what is most important
- The most important concept is associated with beginning mapping and why spatial is special
- New users need to be aware of the issues that result because GI models are simply an abstraction of reality and they need to be familiar with how reality is represented using data models.
- Principles and practical cartography were rated (slightly) more important to teach before introducing simple spatial analysis and uncertainty
- The details of datums and map projections are beyond the scope but it is important for users to recognise the internal bias that may result from a map projection
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