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Species distribution modelling (SDM), also known as environmental (or ecological) niche modelling (ENM), habitat modelling, predictive habitat distribution modelling, and range mapping [1] uses ecological models to predict the distribution of a species across geographic space and time using environmental data. The environmental data are most ...
A semantic data model (SDM) is a high-level semantics-based database description and structuring formalism (database model) for databases. This database model is designed to capture more of the meaning of an application environment than is possible with contemporary database models.
Scarlet Devil Mansion, a location in the danmaku video-game series Touhou Project; Shared decision-making in medicine; Shoppers Drug Mart, a Canadian pharmacy chain; Slovenian Democratic Youth (Slovene: Slovenska demokratska mladina)
Automated decision-making involves using data as input to be analyzed within a process, model, or algorithm or for learning and generating new models. [7] ADM systems may use and connect a wide range of data types and sources depending on the goals and contexts of the system, for example, sensor data for self-driving cars and robotics, identity data for security systems, demographic and ...
Software platform, allows organizations to integrate, analyze, and share complex biomedical data Linux, macOS, Windows: Apache: LabKey Software Foundation LAMMPS: Molecular dynamics program written in C++: Linux, macOS, Windows: Apache: Sandia National Laboratories. mothur: Software for analysis of 16S rRNA gene amplicon sequence data Linux ...
An industry standard data model, or simply standard data model, is a data model that is widely used in a particular industry. The use of standard data models makes the exchange of information easier and faster because it allows heterogeneous organizations to share an agreed vocabulary, semantics, format, and quality standard for data.
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Adaptive management, also known as adaptive resource management or adaptive environmental assessment and management, is a structured, iterative process of robust decision making in the face of uncertainty, with an aim to reducing uncertainty over time via system monitoring.