翻译3~~~~1.4GeometryTypesAgeometryisanorderedsequenceofverticesthatareconnectedbystraightlinesegmentsorcirculararcs.Thesemanticsofthegeometryaredeterminedbyitstype.Spatialsupportsseveralprimitivetypesandgeometrie

Question

翻译3~~~~
1.4 Geometry Types
A geometry is an ordered sequence of vertices that are connected by straight line
segments or circular arcs. The semantics of the geometry are determined by its type.
Spatial supports several primitive types and geometries composed of collections of
these types, including 2-dimensional:
n Points and point clusters
n Line strings
n n-point polygons
n Arc line strings (All arcs are generated as circular arcs.)
n Arc polygons
n Compound polygons
n Compound line strings
n Circles
n Optimized rectangles
2-dimensional points are elements composed of two ordinates, X and Y, often
corresponding to longitude and latitude. Line strings are composed of one or more
pairs of points that define line segments. Polygons are composed of connected line
strings that form a closed ring and the interior of the polygon is implied.
Self-crossing polygons are not supported, although self-crossing line strings are
supported. If a line string crosses itself, it does not become a polygon. A
self-crossing line string does not have any implied interior.

1.5 Data Model
The Spatial data model is a hierarchical structure consisting of elements, geometries,
and layers, which correspond to representations of spatial data. Layers are
composed of geometries, which in turn are made up of elements.
For example, a point might represent a building location, a line string might
represent a road or flight path, and a polygon might represent a state, city, zoning
district, or city block.

1.5.1 Element
An element is the basic building block of a geometry. The supported spatial element
types are points, line strings, and polygons. For example, elements might model
star constellations (point clusters), roads (line strings), and county boundaries
(polygons). Each coordinate in an element is stored as an X,Y pair. The exterior ring
and the interior ring of a polygon with holes are considered as two distinct elements
that together make up a complex polygon.
Point data consists of one coordinate. Line data consists of two coordinates
representing a line segment of the element. Polygon data consists of coordinate pair
values, one vertex pair for each line segment of the polygon. Coordinates are
defined in order around the polygon (counterclockwise for an exterior polygon
ring, clockwise for an interior polygon ring).
非自发自译~共9个问题1800分。。没有人会翻或者用工具翻我会关闭问题。。
顺便回一言九鼎。分赚来就是用的嘛^^这个

Answer 1

1.4几何类型（是编程语言中的数据类型吗?）
一个几何图就是一系列用直线段或圆弧相互连接的顶点.几何图由一些类型（元素）构成.空间数据库支持几种简单的类型和几何元素（由这些类型组成的集合）.包括二维的:
点和点集
线集
多边形
弧线束（所有的弧线都可以由圆弧形成）
多边弧形
复合多边形
复合线集
圆形
矩形
二维的点（包括X,Y两个坐标）一般对应于经度和纬度.线集由一对或多对用于定义线段的点组成.多边形由一些相互连接的线集组成的闭环,也包含了多边形的内部.
1.5数据模型
空间数据模型是一种分层结构,由元素、几何体、层,这与空间数据的描述方法相对应.层由几何体构成,而几何体又由元素构成.例如,一个点可能代表一个建筑的位置,一条线代表一条路或一条飞机航线,一个多边形代表一个国家、城市、市区或街区.
1.5.1元素
一个元素就是几何图的一块积木.空间元素支持的类型有：点、线集和多边形.例如,元素可以表示星群（点集）,道路（线集）,国界（多边形）.每一个元素的坐标用一对X、Y表示.一个多边形外部的环线和内部有孔的环线都被视为截然不同的元素,他们共同组成一个复合多边形.
一个点的数据由一个坐标组成.线数据由两个代表线段元素的坐标组成.多边形由多个代表多边形的线段的定点的坐标对组成.这些坐标沿着多边形被依次定义（外部多边环形逆时针,内部环形顺时针）.