bounding vista - definizione. Che cos'è bounding vista
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Cosa (chi) è bounding vista - definizione

SMALLEST RECTANGLE WHICH ENCLOSES SOME PLANAR SET OF POINTS
Bounding rectangle
  • A series of geometric shapes enclosed by its minimum bounding rectangle

Bounding interval hierarchy         
OVERVIEW ABOUT THE HIERARCHY OF BOUNDING INTERVAL
Bounding Interval Hierarchy
A bounding interval hierarchy (BIH) is a partitioning data structure similar to that of bounding volume hierarchies or kd-trees. Bounding interval hierarchies can be used in high performance (or real-time) ray tracing and may be especially useful for dynamic scenes.
Buena Vista, Oregon         
  • right
HUMAN SETTLEMENT IN OREGON, UNITED STATES OF AMERICA
Buena Vista, Or
Buena Vista is an unincorporated community in Polk County, Oregon, United States. It is located on the Willamette River, and is the western landing for the Buena Vista Ferry.
Anza Vista, San Francisco         
  • A view from Baker Street in Anza Vista looking East towards downtown
  • Anza Vista is named after [[Juan Bautista de Anza]].
HUMAN SETTLEMENT IN SAN FRANCISCO, CALIFORNIA, UNITED STATES OF AMERICA
Anza Vista; Anza Vista, San Francisco, CA; Anza Vista, San Francisco, California
Anza Vista is a neighborhood in the Western Addition district of San Francisco, California. It is named after Juan Bautista de Anza, the first Spanish explorer to reach San Francisco.

Wikipedia

Minimum bounding rectangle

In computational geometry, the minimum bounding rectangle (MBR), also known as bounding box (BBOX) or envelope, is an expression of the maximum extents of a two-dimensional object (e.g. point, line, polygon) or set of objects within its x-y coordinate system; in other words min(x), max(x), min(y), max(y). The MBR is a 2-dimensional case of the minimum bounding box.

MBRs are frequently used as an indication of the general position of a geographic feature or dataset, for either display, first-approximation spatial query, or spatial indexing purposes.

The degree to which an "overlapping rectangles" query based on MBRs will be satisfactory (in other words, produce a low number of "false positive" hits) will depend on the extent to which individual spatial objects occupy (fill) their associated MBR. If the MBR is full or nearly so (for example, a mapsheet aligned with axes of latitude and longitude will normally entirely fill its associated MBR in the same coordinate space), then the "overlapping rectangles" test will be entirely reliable for that and similar spatial objects. On the other hand, if the MBR describes a dataset consisting of a diagonal line, or a small number of disjunct points (patchy data), then most of the MBR will be empty and an "overlapping rectangles" test will produce a high number of false positives. One system that attempts to deal with this problem, particularly for patchy data, is c-squares.

MBRs are also an essential prerequisite for the R-tree method of spatial indexing.