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  2. Aerial photographic and satellite image interpretation

    en.wikipedia.org/wiki/Aerial_photographic_and...

    Photo interpretation at the U.S. National Photographic Interpretation Center during the Cuban Missile Crisis.. Aerial photographic and satellite image interpretation, or just image interpretation when in context, is the act of examining photographic images, particularly airborne and spaceborne, to identify objects and judging their significance. [1]

  3. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."

  4. Thematic analysis - Wikipedia

    en.wikipedia.org/wiki/Thematic_analysis

    Coding reliability [4] [2] approaches have the longest history and are often little different from qualitative content analysis. As the name suggests they prioritise the measurement of coding reliability through the use of structured and fixed code books, the use of multiple coders who work independently to apply the code book to the data, the measurement of inter-rater reliability or inter ...

  5. Aerial photograph interpretation (geology) - Wikipedia

    en.wikipedia.org/wiki/Aerial_photograph...

    Aerial photograph interpretation is a method of extrapolating geological details of the ground surface from aerial images. [1] It allows geologists to analyze the distinguishing geological features and structures , plant cover , past history of the site, soil properties, and topography of the study area.

  6. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

  7. Empirical research - Wikipedia

    en.wikipedia.org/wiki/Empirical_research

    Accurate analysis of data using standardized statistical methods in scientific studies is critical to determining the validity of empirical research. Statistical formulas such as regression, uncertainty coefficient, t-test, chi square, and various types of ANOVA (analyses of variance) are fundamental to forming logical, valid conclusions.

  8. Thesis statement - Wikipedia

    en.wikipedia.org/wiki/Thesis_statement

    A thesis statement is a statement of one's core argument, the main idea(s), and/or a concise summary of an essay, research paper, etc. [1] It is usually expressed in one or two sentences near the beginning of a paper, and may be reiterated elsewhere, such as in the conclusion.

  9. Qualitative research - Wikipedia

    en.wikipedia.org/wiki/Qualitative_research

    Content analysis is an important building block in the conceptual analysis of qualitative data. It is frequently used in sociology. For example, content analysis has been applied to research on such diverse aspects of human life as changes in perceptions of race over time, [35] the lifestyles of contractors, [36] and even reviews of automobiles ...