Going Places with Spatial Analysis

     I participated in the GIS MOOC offered by Esri is called Going Places with Spatial Analysis. It lasted 6 weeks, each new week had different themes. The course has been equipped with video lectures, additional assignments, practical part. Topics of each week you can see below

  1. Going Places with Spatial Analysis
  2. Understanding and Comparing Places
  3. Determining How Places are Related
  4. Finding the Best Locations and Paths
  5. Detecting and Quantifying Patterns
  6. Making Predictions

  The main advantage is the practical part, which is performed in ArcGIS online. It helped me to understand how it works and evaluate the pros of this resource.

With ArcGIS online you can achieve the following objectives:

  • Upload and manipulate data
  • Map points, lines, and areas
  • Create point, choropleth, and other thematic maps
  • Embed maps in Web sites
  • Share maps in a multitude of ways
  • Explore an editable map
  • Examine spatial patterns

      Most important advantage is a opportunity to share the results of the analysis, maps and data.

You can learn more about ArcGIS Online from this link  video 


Example: "Find best location" using ArcGIS Online

    Originally, explored map looks like in Figure-1. We have data on Parcels, Flood zone, Highway and city boundary. 

Figure-1

   My task is to find the best suitable site for sport school. The criterion nominated to find such places are the following:

  • select vacant parcel
  • select area greater then 5 ha but less then 10 ha
  • value is less then 1 000000 and Value_acre is less 11000
  • min 200 meters away from flood zone
  • min 500 meters away distance to highway

  These criteria have both spatial and attribute data. To select desired attributes from layers and at the same time for a spatial selection I use “Find Existing Location” tool. I select Parcels layer end open from drop-down list “Perform Analysis” window (Figure-2).


Figure-2

   I used "add expression" for adding all attribute query . For attribute expressions, I chose “where (attribute query)”. For spatial expressions, I chose “Not within a distance of” (a feature in the Parcels layer is excluded (not included in the output) if it is within a distance of Highway or flood zone feature).

Figure-3

   Result looks like in Figure-3. All of them are relatively in the middle of the city. If we need additional information, we can use statistics.