sanmitsahu / spatial-data-visualization

Capture spatial data, visualize it, do queries on it, and visualize the query results.

Spatial Data Visualization

Capture spatial data, visualize it, do queries on it, and visualize the query results.

1. You need to create (generate) latitude,longitude pairs (ie. spatial coordinates) for 9 locations. One of those will be where your home/apartment/dorm room is. The other eight would have to be spread out - at least 100 feet between adjacent locations (and at most 200 or 300 or even 400 feet between neighboring points)

2. Now that you have 9 coordinates and their label strings, you are going to create a KML file (.kml format) out of them using a text editor. Specifically, each location will be a 'placemark' in your .kml file (with a label, and coords). Here is more detail. The .kml file with the 9 placemarks is going to be your starter file, for doing visualizations and queries.

3.(a)compute the convex hull for your 9 points [a convex hull for a set of 2D points is the smallest convex polygon that contains the point set]. Use the query's result polygon's coords, to create a polygon in your .kml file (edit the .kml file, add relevant XML to specify the KML polygon's coords). Load this into Google Earth, visually verify that your 9 points are inside the convex hull. (b) compute the three nearest neighbors of your home/apt/dormroom location. Use the query's results, to create three line segments in your .kml file: line(home,neighbor1), line(home,neighbor2), line(home,neighbor3). Verify this looks correct using Google Earth, take a snapshot.

4. Using Tommy Trojan as the center, compute (don't use GPS!) a set (sequence) of lat-long (ie. spatial) co-ordinates that lie along a pretty Spirograph(TM) curve :) Create a new KML file with these points, visualize it on Google Earth.