Plotting adjustments

README.md

@@ -7,12 +7,12 @@
 - [python-geojson](https://python-geojson.readthedocs.io/en/latest/)
 - [czml3](https://github.com/poliastro/czml3)
     - As of this writing, the version from pip does not support ellipses. Please use the version from GitHub.
-- [geojson](https://pypi.org/project/geojson/)
 
 ## Other things you'll need:
 - [Cesium Ion Token](https://cesium.com/docs/tutorials/quick-start/)
     - Create a single line file named ```accesstoken.txt```
 - [Extended XML KerberosSDR Software](https://github.com/ckoval7/kerberossdr)
+    - This is available for both Qt4 (original version) and Qt5 (Ubuntu 20.04+). Just check out the appropriate branch.
     
 ![Screenshot](https://github.com/ckoval7/df-aggregator/raw/master/screenshots/Screenshot%20from%202020-11-15%2009-31-22.png)
 
@@ -71,5 +71,16 @@
 
 Once the program is running, browse to 127.0.0.1:8080 or whatever IP/Port Number you specified.
 
-## Credits
+
+## Map Colors:
+
+- A red ellipse represents the significant majority of the intersections in a particular cluster.
+  It makes up the full area where the transmitter is most certainly located.
+- The large green dot at the center of the ellipse is the likely location of the transmitter.
+  It is simply computed as the mean of all intersections in that cluster.
+- The smaller dots, if turned on vary in color from red to green. These dots are the individual
+  intersections. The color represents the age relative to the full data set. Red is older, green is
+  newer. This is very helpful for following moving targets.
+
+### Attributions
 Tower and car icons made by Freepik from www.flaticon.com

df-aggregator.py

@@ -289,11 +289,11 @@ def write_czml(best_point, all_the_points, ellipsedata):
         scaled_time = minmax_scale(all_the_points[:,-1])
         all_the_points = np.column_stack((all_the_points, scaled_time))
         for x in all_the_points:
-            rgb = hsvtorgb(x[-1]/3, 0.8, 0.8)
+            rgb = hsvtorgb(x[-1]/3, 0.9, 0.9)
             color_property = {"color":{"rgba": [*rgb, 255]}}
             all_point_packets.append(Packet(id=str(x[1]) + ", " + str(x[0]),
             point={**point_properties, **color_property},
-            position={"cartographicDegrees": [ x[0], x[1], 10 ]},
+            position={"cartographicDegrees": [ x[0], x[1], 20 ]},
             ))
 
     if len(best_point) > 0: