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A supervised classification is a system of classification in which the user builds a series of randomly generated training datasets or spectral signatures representing different land-use and land-cover (LULC) classes and applies these datasets in machine learning models to predict and spatially classify LULC patterns and evaluate classification accuracies.
DAP servers most frequently enable (remote) access to (large) HDF or NetCDF files, but the source data can exist in databases or other formats, including user-defined ones. When source data are organized as files, DAP retrievals enable, via subsetting, finer-grained access than does the FTP. Furthermore, OPeNDAP servers can aggregate subsets ...
This can include static and moving data, maps, satellite imagery, crowd-sourced data, full motion video, weather data and terrain elevation in many different geodetic references and map projections. Geo-fencing, line-of-sight calculations, geo-triggered events, dynamic and complex route calculations and automated anomaly detection are just a ...
Python library for the manipulation and storage of a wide range of geoscientific data (points, curve, surface, 2D and 3D grids) in geoh5 file format, natively supported by Geoscience ANALYST free 3D viewer Mira Geoscience Ltd. LPGL 3.0 Cross-platform: Python: Documentation and tutorials fully available in ReadTheDocs: geoapps repository [24]
In terms of models, DAP can create mixed balanced and unbalanced models as well as random unbalanced models. It has been designed so as to cope with very large data sets; even when the size of the data exceeds the size of the computer's memory due to the fact that the program processes files one line at a time rather than reading entire files ...
Land use capability maps are maps created to represent the potential uses of a "unit" of land. They are measured using various indicators, although the most common are five physical factors ( rock type , soil type , slope, erosion degree and type, and vegetation).
In LEAM, a region is represented as a 30x30-meter cell grid. A discrete-choice model controls whether land use in each grid cell is transformed from its present state to a new state (residential, commercial, or industrial use) in a particular time step. Several factors, or drivers, go into determining the likelihood of land use change. Drivers ...
Mondrian – data analysis tool using interactive statistical graphics with a link to R; Neurophysiological Biomarker Toolbox – Matlab toolbox for data-mining of neurophysiological biomarkers; OpenBUGS; OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and ...