Python 如何使用 osgeo.ogr.Geometry 对象计算多边形周长

Question

首先，我很抱歉提出这个简单的问题。我需要计算一定数量的 gem 属性(面积、周长、圆度、长轴和短轴等)。我正在使用 GDAL/OGR读取我的多边形的 shapefile 格式。我想问的是:

1. 是否有使用 osgeo.ogr.Geometry 计算周长的方法？
2. 是否有构建模块来计算多边形的指标？

提前致谢

    import osgeo.gdal, ogr
    poly="C:\\\myshape.shp"
    shp = osgeo.ogr.Open(poly)
    layer = shp.GetLayer()
    # For every polygon
    for index in xrange(len(allFID)):
        feature = layer.GetFeature(index)
        # get "FID" (Feature ID)
        FID = str(feature.GetFID())
        geometry = feature.GetGeometryRef()
        # get the area
        Area = geometry.GetArea()

Answer 1

        ref_geometry = ref_feature.GetGeometryRef()
        pts = ref_geometry.GetGeometryRef(0)
        points = []
        for p in xrange(pts.GetPointCount()):
            points.append((pts.GetX(p), pts.GetY(p)))

def edges_index(points):
    """
    compute edges index for a given 2D point set

    1- The number of edges which form the polygon
    2- Perimeter
    3- The length of the longest edge in a polygon
    4- The length of the shortest edge in a polygon
    5- The average length of all of edges in a polygon
    6- The lengths of edges deviate from their mean value
    """
    Nedges = len(points)-1
    length = []
    for i in xrange(Nedges):
        ax, ay = points[i]
        bx, by = points[i+1]
        length.append(math.hypot(bx-ax, by-ay))
    edges_perimeter = numpy.sum(length)
    edges_max = numpy.amax(length)
    edges_min = numpy.amin(length)
    edges_average = numpy.average(length)
    edges_std = numpy.std(length)
    return (Nedges,edges_perimeter,edges_max,edges_min,edges_average,edges_std)