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Month: February 2016

Add Spatial Querying Capabilities to Your Maps

Have you considered using GIS to make spatial decisions? Spatial querying is a powerful tool that helps you make decisions based on geographic relationships between different features. You might be wondering why you would want to use spatial queries. Some good examples of spatial querying might be the need to know the coverage area for a Wi-Fi system or the proximity of possible hazardous materials to schools so that plans can be made accordingly and much more.

There are several types of spatial queries available to you:

  • Within – Selects features that the querying feature fully contains.
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    Use Class Break Styles to Build Thematic Maps

    Do you have data that range in values? For example, let’s say you have sales data, population densities, etc. and you would like to display this information with different colors based on the range of values. If this sounds familiar you should take a look at the Class Break style!

    The Class Break Style allows you to define how polygon, line, or point based features will be rendered on the map based upon a range of values in your layer’s attribute data. Continue reading

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    Generate Isolines in Your Mapping Application.

    Looking for another great way to help visualize your data? Isolines also knows as contour lines are a great way to visualize breaks between different groups of data such as elevation, soil properties, forest densities, well depths, or just about anything else you can imagine. Even with a limited dataset you can use interpolation to build rich isolines to help visualize your data.

    You can use several different types of interpolations models including the 5 Kriging methods (Circular, Exponential, Gaussian, Linear, and Spherical) or Inverted Distance Weighting in Map Suite. Continue reading

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    Create a Grid Layer to Analyze Your Point Data

    Do you have point data that you would like to make more visually appealing? If so, consider representing the data as a Grid. A Grid is a raster format that allows you to divide a geographic space into equal sized cells each representing a value with an attribute (i.e. elevation, surface slope, soil pH, etc.) for that unit of space. Each Grid cell is referenced by its x, y coordinates. Typically a Grid file is created based on some sample points with known values. Continue reading

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