![]() Surfaces are constrained to rectangular structure, so in a way it makes it trickier to build complex but smooth ‘organic’ shapes from these than with Sub D. Sub D are less constrained in certain ways than surface structures - they can branch in multiple directions like a mesh,and have more flexible topology than surfaces. ![]() SubD makes, you might say, a better guess at smoothly interpolating mesh information than a linear interpolation between points. Sambhunath Behera.The EYES of Himalayas come with a new tutorial that is related with Raster vs. On a sphere defined as a surface - either NURBS or some other exact definition, you can ask about position (and other) info anyplace on the sphere and get accurate results- the entire surface is defined, not just some subset of points on the surface. Hello Friends This tutorial has been made on request of Mr. Think of a sphere - as a mesh it might have, let’s say 256 vertices - you could get an accurate 3d location of any of the vertices, but between vertices you’re out of luck - the best you can do is a linear interpolation between two adjacent vertices. Vector data involves storing data as geometric objects. There are two major ways to model spatial data: as vector data or as raster data. ![]() Both models of the data must have the property of storing locations, features and the association between the two. A vector curve or a NURBS curve or surface, on the other hand, has accurate information anyplace on the curve. It is necessary to convert spatial data into a form that a computer can understand. This means that anything that you can visually see in a landscape, such as trees, houses, and rivers, can be represented in a GIS application. ![]() Although the ability of modern computers has minimized the importance of maintaining small file sizes, vector data often require a fraction the computer storage space when compared to raster data. This is an example showing the comparison of the vector data structure with that of the raster data structure. Definition: Vector data is the process of representing real world objects and features within the GIS field. A key thing about raster (pixels) is that it has a finite amount of info at a pixel - it is one color, period - meshes are somewhat like that in that you only have accurate information at the vertices. Vector data tend to be more compact in data structure, so file sizes are typically much smaller than their raster counterparts. Another difference between raster vs vector data is that vector data comes in three types: points. These coordinates, also known as vertices, define the shape of an object such as a river, building, forest, road, etc. Hi Allyson - ‘raster’ does not really apply, as far as I know, to 3d modeling, but it is more analogous to meshes than anything else I suppose, when comparing to ‘NURBS’. While raster data is composed of cells in a matrix, vector data is composed of XY coordinates. ![]()
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