When we source data in-house, the data would be procured as a vector (points, lines, and polygons). “Both raster and vector data are important for our day to day tasks here at East View Geospatial. Digital elevation models are a good example of continuous raster data.” ![]() Continuous rasters represent values that are above/below sea level.Where one value might represent land cover, another may represent a river. Discrete rasters are easy to distinguish as the data is organized into themes.However, raster data can be organized into two separate categories, discrete data & continuous data. Primarily you will see raster data used in digital aerial photographs, satellite imagery, or even digital pictures. Raster data is made of pixels that are compiled into rows and columns. Polygon data represents features, such as: land cover, area hydrography, large buildings, city/county/state/country boundaries.Line data represents features, such as: transportation (roads, cart tracks, trails), rivers, cables, pipelines.Point data usually represents small features, such as small buildings, pylons, landmark significant features. ![]() ![]() All geometry types store information in x/y coordinates. “Vector data is made up of points, lines, and polygons all of which are used to represent real-world features in maps. However, all types of mapping data fall into one of two categories: Vector Data or Raster Data. We spoke with Geospatial Analyst, Kelli Hercules, about why raster and vector data are important, how they differ, and their respective benefits when it comes to displaying specific data. There are countless types of data- each delivering their own unique value and insights. Data drives all cartography- without it, maps couldn’t be made.
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