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Inventoried by FDOT as part of SR 39, but signed as CR 39 at its northern terminus CR 39A: West Alexander Street South Alexander Street North Alexander Street W/E and S/N SR 39: Plant City: SR 39: North of Plant City: Former SR 39A; [1] signed as SR 39A north of US 92 and as part of SR 39 CR 39B: East Park Road South Park Road W/E and S/N SR 39
The functional classification of a road is the class or group of roads to which the road belongs. There are three main functional classes as defined by the United States Federal Highway Administration : arterial, collector, and local.
The Florida Department of Transportation (FDOT) is a decentralized agency charged with the establishment, maintenance, and regulation of public transportation in the state of Florida. [1] The department was formed in 1969. It absorbed the powers of the State Road Department (SRD). The current Secretary of Transportation is Jared W. Perdue.
The bridge inventory is developed for having a unified database for bridges, including the identification information; bridge types and specifications; operational conditions; and bridge data including geometric data, functional description, inspection data, etc. Bridge type and specifications classify the type of the bridge.
The network structure of Radburn, New Jersey exemplifies the concept of street hierarchy of contemporary districts. (The shaded area was not built.) The street hierarchy is an urban planning technique for laying out road networks that exclude automobile through-traffic from developed areas.
The AASHTO Soil Classification System was developed by the American Association of State Highway and Transportation Officials, and is used as a guide for the classification of soils and soil-aggregate mixtures for highway construction purposes.
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.
A chart map represents each geographic feature with a statistical chart, often a pie chart or bar chart, which can include a number of variables. Each chart is usually drawn proportionally to a total, making it a multivariate symbol. Chernoff faces have occasionally been used in maps since the 1970s, generally in an experimental situation.