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  2. Data model (GIS) - Wikipedia

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

    A hybrid topological data model has the option of storing topological relationship information as a separate layer built on top of a spaghetti data set. An example is the network dataset within the Esri geodatabase. [23] Vector data are commonly used to represent conceptual objects (e.g., trees, buildings, counties), but they can also represent ...

  3. Geologic modelling - Wikipedia

    en.wikipedia.org/wiki/Geologic_modelling

    The most widely used technique is kriging which uses the spatial correlation among data and intends to construct the interpolation via semi-variograms. To reproduce more realistic spatial variability and help assess spatial uncertainty between data, geostatistical simulation based on variograms, training images, or parametric geological objects ...

  4. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques.

  5. Modeling and simulation - Wikipedia

    en.wikipedia.org/wiki/Modeling_and_simulation

    Modeling and simulation (M&S) is the use of models (e.g., physical, mathematical, behavioral, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making. [1] [2]

  6. Geography - Wikipedia

    en.wikipedia.org/wiki/Geography

    Geography (from Ancient Greek γεωγραφία geōgraphía; combining gê 'Earth' and gráphō 'write', literally 'Earth writing') is the study of the lands, features, inhabitants, and phenomena of Earth.

  7. Business process modeling - Wikipedia

    en.wikipedia.org/wiki/Business_process_modeling

    A business process modeling of a process with a normal flow with the Business Process Model and Notation. Business process modeling (BPM) is the action of capturing and representing processes of an enterprise (i.e. modeling them), so that the current business processes may be analyzed, applied securely and consistently, improved, and automated.