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    Hot desert systems and landscapes - 3.1.2.5 Quantitative and qualitative skills — AQA A-Level Geography

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    Hot desert systems and landscapes - 3.1.2.5 Quantitative and qualitative skills explained

    In the study of hot desert systems, you must apply both quantitative and qualitative geographical skills to field measurements.

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    Observation skills involve systematically recording landscape features, such as photographing yardangs or sketching wadi cross-sections. Measurement requires using equipment accurately, like ranging poles and clinometers to assess dune profiles. You must also utilise geospatial mapping skills, such as using GIS to track desertification margins or map sediment distribution. Finally, data manipulation and statistical skills are essential; you should be able to calculate measures of central tendency for sediment size, apply statistical tests like Spearman's rank to assess correlations between wind speed and deflation, and present this data effectively.

    Your focus

    1. Demonstrate accurate observation and measurement skills relevant to hot desert landscapes.
    2. Apply geospatial mapping techniques to analyse spatial patterns in desert environments.
    3. Perform data manipulation and statistical tests on primary or secondary field measurements.

    Hot desert systems and landscapes - 3.1.2.5 Quantitative and qualitative skills exam tips

    Examiner Tips
    • 💡Practise calculating statistical significance using critical value tables for tests commonly applied to field data.
    • 💡When evaluating fieldwork methods, explicitly discuss the accuracy and reliability of your measurement techniques, such as clinometer readings.
    • 💡Integrate specific examples of geospatial mapping, like using Google Earth Pro to measure the fetch of a desert basin, into your answers.
    Common Mistakes
    • Treating qualitative data as less valuable than quantitative data. Correction: Recognise that qualitative observations, like field sketches or annotated photographs, provide essential context that numbers alone cannot capture.
    • Failing to justify the choice of statistical test. Correction: Always ensure you can explain why a specific test, such as Spearman's rank, is appropriate for your specific desert field data.
    • Using GIS merely as a visual tool without analysis. Correction: Use geospatial mapping to analyse spatial patterns, such as calculating the rate of sand dune migration over time using historical satellite imagery.