logo

Study resource

Geography fieldwork investigation key terms

Study Geography fieldwork investigation with curriculum-aligned Key Terms resources, practice links, and exam-focused support.

At a glance

key terms

Resource type

Topic

Geography fieldwork investigation

AqaA LevelGeographyInvestigation requirements

Key terms

  • Variable

    A factor that can change in an experiment or investigation, affecting the outcome.

  • Data Collection

    The process of gathering information for analysis in a geographical study.

  • Literature Review

    A comprehensive survey of existing research and publications relevant to a specific topic or question.

  • Methodology

    The systematic approach and techniques used to collect and analyze data in a research study.

  • Spatial Scale

    The physical dimensions or extent of the area being studied, which can influence the patterns and processes observed in geographical research.

  • Temporal Scale

    The time frame over which data is collected or phenomena are observed, affecting the interpretation of changes and trends in geographical studies.

  • Sampling method

    A technique used to select individuals or units from a larger population for the purpose of conducting research.

  • Field investigation

    A research approach that involves collecting data in a natural setting to understand geographical phenomena.

  • Fieldwork

    Fieldwork is the collection of data outside a laboratory, library, or workplace setting.

  • Data triangulation

    Data triangulation is the use of multiple data sources or methods to enhance the credibility of research findings.

  • Informed Consent

    The process of obtaining permission from participants after providing them with all necessary information about the study.

  • Sampling Methods

    Techniques used to select individuals or sites for data collection in a way that represents the larger population.

  • Bias

    A systematic error that leads to an incorrect conclusion or result in research.

  • Sampling error

    The error caused by observing a sample instead of the whole population, which can affect the validity of the findings.

  • Cartography

    The art and science of making maps, which involves the representation of spatial data.

  • GIS (Geographic Information Systems)

    A system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data.

  • Quantitative data

    Data that can be quantified and is often expressed in numerical form, allowing for statistical analysis.

  • Qualitative data

    Data that is descriptive and conceptual, often collected through interviews or open-ended surveys.

  • Spatial scale

    The physical dimensions or extent of an area being studied, which can influence the interpretation of geographical data.

  • Temporal scale

    The time frame over which data is collected or analyzed, affecting the understanding of changes and trends in geographical phenomena.

  • Spatial Scale

    The physical dimensions or extent of a geographical area being studied, which can influence the interpretation of data.

  • Causal Chain

    A sequence of events or processes where one leads to another, often used to explain geographical phenomena.

  • Empirical evidence

    Information acquired by observation or experimentation that is used to support conclusions.

  • Bias

    A systematic error that can affect the validity of data and conclusions in research.

  • Uncertainty

    The degree of doubt regarding the accuracy of data or conclusions drawn from research.

  • Evaluation

    The process of assessing the strengths and weaknesses of a study, including its methods and findings.

  • Sample Size

    The number of observations or replicates included in a statistical sample.

  • Bias

    A systematic error that leads to an incorrect estimate of the effect or association.

  • Methodology

    The system of methods followed in a particular discipline, crucial for ensuring research validity.

  • Data Analysis

    The process of inspecting, cleansing, transforming, and modeling data to discover useful information.

Related topics

Study nearby topics next