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  2. Data mapping - Wikipedia

    en.wikipedia.org/wiki/Data_mapping

    The W3C introduced R2RML as a standard for mapping data in a relational database to data expressed in terms of the Resource Description Framework (RDF). In the future, tools based on semantic web languages such as RDF, the Web Ontology Language (OWL) and standardized metadata registry will make data mapping a more automatic process.

  3. Group concept mapping - Wikipedia

    en.wikipedia.org/wiki/Group_concept_mapping

    Group concept mapping is participatory in nature, allowing participants to have an equal voice and to contribute through various methods. [1] A group concept map visually represents all the ideas of a group and how they relate to each other, and depending on the scale, which ideas are more relevant, important, or feasible.

  4. Data model (GIS) - Wikipedia

    en.wikipedia.org/wiki/Data_model_(GIS)

    Because the world is much more complex than can be represented in a computer, all geospatial data are incomplete approximations of the world. [9] Thus, most geospatial data models encode some form of strategy for collecting a finite sample of an often infinite domain, and a structure to organize the sample in such a way as to enable interpolation of the nature of the unsampled portion.

  5. Data wrangling - Wikipedia

    en.wikipedia.org/wiki/Data_wrangling

    Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics. The goal of data wrangling is to assure quality and useful data.

  6. Digital soil mapping - Wikipedia

    en.wikipedia.org/wiki/Digital_soil_mapping

    DSM can rely upon, but is considered to be distinct from traditional soil mapping, which involves manual delineation of soil boundaries by field soil scientists.Non-digital soil maps produced as result of manual delineation of soil mapping units may also be digitized or surveyors may draw boundaries using field computers, hence both traditional, knowledge-based and technology and data-driven ...

  7. Quantitative geography - Wikipedia

    en.wikipedia.org/wiki/Quantitative_geography

    Critics have likewise argued that reliance on digital mapping tools and technology can restrict the capacity to address certain complex geographical issues and claim that quantitative data collection methods can introduce partiality into the analysis; for example, existing power structures can influence quantitative research by shaping the ...

  8. Georeferencing - Wikipedia

    en.wikipedia.org/wiki/Georeferencing

    Georeferencing or georegistration is a type of coordinate transformation that binds a digital raster image or vector database that represents a geographic space (usually a scanned map or aerial photograph) to a spatial reference system, thus locating the digital data in the real world.

  9. Nonlinear dimensionality reduction - Wikipedia

    en.wikipedia.org/wiki/Nonlinear_dimensionality...

    These methods all fall under the broader class of metric multidimensional scaling. The variations tend to be differences in how the proximity data is computed; for example, isomap, locally linear embeddings, maximum variance unfolding, and Sammon mapping (which is not in fact a mapping) are examples of metric multidimensional scaling methods.