High Point

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High Point,

city (1990 pop. 69,496), Davidson, Guilford, and Randolph counties, N N.C., in a heavily forested Piedmont region; settled before 1750, inc. 1859. It is a trade, industrial, and commercial center for an agricultural area. Noted for the production of furniture and hosiery, the city has become a major center for discounted furniture sales. Semiannual furniture expositions are held in High Point. Of interest is the restored home of a blacksmith (1786). High Point Univ. is in the city, as is the International Home Furnishings Center, the Furniture Discovery Center, and a museum on furniture manufacture.

High Point

 

a city in the USA, in the state of North Carolina. Population, 67,000 (1975); including the neighboring cities of Greensboro and Durham and their common suburban area, 770,000. As of 1974,142,000 persons were employed in industry, mainly the furniture, woodworking, textile, knitwear, clothing, chemical, metalworking, and food-processing industries.

References in periodicals archive ?
In urban applications, finding the high points of a land value surface may help in determining the leading suburban downtowns (or "edge cities") outside the central business district.
For example, in recreation management and tourism, high points have been extracted from a DEM to help identify the highest independent mountain summits for a list of challenging hiking destinations (Kuby et al.
At first glance, extracting high points may appear to be a straightforward task.
In this paper we describe an algorithm for extracting high points from a surface and use it to extract the geomorphic summits for a DEM of Arizona.
To extract high points, we utilized the techniques of map algebra and neighborhood analysis (Tomlin 1990; DeMers 2000).
Unlike the large body of work on extracting hydrologic features, we found only four studies dealing explicitly with extracting high points or mountains from digital data.
Assuming the horizontal separation neighborhood is circular, eliminating all cells other than the local maximum within each horizontal separation neighborhood, in effect, defines the HSN radius as the minimum distance between high points.
Step 3 identifies a single high point in the case of a tie among a cluster of high points (Figure 2d, 2f).
If so, the point currently being evaluated is added to the final set of high points, and all other equally high points in that cluster are eliminated.
The horizontal separation neighborhood, on the other hand, defines a neighborhood within which no other high points can occur.
Our algorithm for extracting high points from a three-dimensional surface involves setting three parameters and executing three primary steps.
In Figure 3b, Point B was evaluated first and selected as a high point although it was not nearest to the GNIS summit or in the largest polygon.

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