Raster maps inherently reflect only one attribute or characteristic for an area.
Since most input data is in vector form, data must undergo vector-to-raster conversion.
you'll want to double the size of your image; for instance, if you have a 640px header graphic, you'd upload a 1280px version.
Due to the nature of the data storage technique data analysis is usually easy to program and quick to perform. one attribute maps, is ideally suited for mathematical modeling and quantitative analysis. forestry stands, is accommodated equally well as continuous data, e.g.For effective analysis, vector data must be converted into a topological structure.This is often processing intensive and usually requires extensive data cleaning.Color profile: Your images need to be in RGB color values, as opposed to CMYK color values.CMYK color values are for print and won't render in an online environment.As well, topology is static, and any updating or editing of the vector data requires re-building of the topology.Algorithms for manipulative and analysis functions are complex and may be processing intensive.Accurate geographic location of data is maintained.Allows for efficient encoding of topology, and as a result more efficient operations that require topological information, e.g. Disadvantages: The location of each vertex needs to be stored explicitly.Graphic output is usually more aesthetically pleasing (traditional cartographic representation); Since most data, e.g.hard copy maps, is in vector form no data conversion is required.