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A sectional chart is a two-sided chart created from a Lambert Conformal Conic Projection [1] with two defined standard parallels. The scale is 1:500,000, with a contour interval of 500 feet. The size of each sectional is designed to be "arm's width" when completely unfolded.
The first sectional chart was published in 1930; in 1937 the full series of the lower 48 states was completed. These early sectional charts were smaller (most covered two degrees of latitude and six of longitude) with the map on one side; after 1950 the legend and index to adjoining charts was on the reverse.
In the United States, many non-towered airports use the same frequency for both UNICOM and CTAF purposes. Pilots are advised to check their sectional charts and/or Chart Supplement (formerly Airport/Facilities Directory) to determine the appropriate frequency for CTAF prior to operating at any given airport.
FAA-Terminal Area Chart Baltimore-Washington from 2011. Like the VFR sectional charts that they complement, terminal area charts depict topographic features and other information of interest to aviators flying visually, including major landmarks, terrain elevations, visual navigation routes, ground-based navigation aids, airports, rivers, cities, and airspace boundaries.
Pilots can find RCO frequencies in charts or publications such as the Chart Supplement or Canada Flight Supplement. [1] The RCO is used to make a radio call to the outlet as if the pilot were making the call directly to the FSS or FIC. The outlet will relay the call (and the briefer's response) automatically.
The Airport/Facility Directory also provides a means for the FAA to communicate, in text form, updates to visual navigation charts between their revision dates — VFR Sectional and Terminal Area Charts are generally revised every six months. Volumes are side-bound at 5 + 3 ⁄ 8 by 8 + 1 ⁄ 4 inches (140 mm × 210 mm), and colored a ...
Cross-sectional data can be used in cross-sectional regression, which is regression analysis of cross-sectional data. For example, the consumption expenditures of various individuals in a fixed month could be regressed on their incomes, accumulated wealth levels, and their various demographic features to find out how differences in those ...
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
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