![]() LiDAR data is data that is collected at different points and measuring the return times for reflected light. In addition to raster and vector data, there is also LiDAR data (also known as point clouds) and 3D data. Each of the buildings, in addition to their location, may have additional attributes such as the type of use (housing, business, government, etc.) and how many stories it has. For example, you might have a map displaying buildings within a city’s downtown region. Spatial data can have any amount of additional attributes accompanying information about the location. ![]() Each of these locations is given the coordinates of reference for that location on the surface of the Earth.Īdditional Types of Spatial Data AttributesĪny additional information, or non-spatial data, that describes a feature is referred to as an attribute. The data used in geocoding are addresses and location descriptors (city, country, etc.). Georeferencing is the process of assigning coordinates to vectors or rasters so they can be oriented accurately on a model of the Earth’s surface. Both involve fitting data to the appropriate coordinates of the real world. Georeferencing and geocoding are different. Raster data quality varies depending on resolution and your task at hand. However, in the spatial world, this may specifically refer to orthoimagery which are photos taken from satellites or other aerial devices. This communicates information about the element in question. Each pixel within a raster has a value, whether it be a colour or unit of measurement. Raster data is data that is presented in a grid of pixels. Vector data and the file format known as shapefiles (.shp) are sometimes used interchangeably. Vectors present generalizations of objects or features on the Earth’s surface. Connecting points create lines, and connecting lines that create an enclosed area create polygons. There are three main types of vector data: points, lines, and polygons. Vector data is graphical representations of the real world. The following types of data exhibits spatial locality: Head on over to this article for acronyms that you may come across. To properly understand and learn more about spatial data, there are a few key terms that will help you. ![]() It can also contain more than just location specific information. Spatial data can exist in a variety of formats. Making sense of its differences will help you make even better decisions and expand your knowledge of data too. Why should you care? Geospatial data can help you make better decisions by leveraging the power of spatial relationships. This blog post will highlights the basics and difference between both spatial and non-spatial data. Non-spatial data, on the other hand, is data that is independent of geographic location. Spatial data, also known as geospatial data, is a term used to describe any data related to or containing information about a specific location on the Earth’s surface.
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