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--- data_visualization [2015/07/20 10:32] – [Sound] ami
+++ data_visualization [2016/01/13 17:48] (current) – external edit 127.0.0.1
@@ Line 7: / Line 7: @@
 E.g. environmental data values are every 10 seconds => these are timestretched to fit the audio and video which is at 24 fps.
 All data are converted to txt (cvs).
-Different parameters (temperature, humidity and hours of sunlight or rain, but also the frequencies and amplitudes of the soundfiles, the amount of action (bees) in the video files) will act as strange attractors in the 3D space and they will influence the behaviour of the virtual bee colony (bee-blob) in space, but also in volume or condensation.
+Different parameters (temperature, humidity and hours of sunlight or rain, but also the frequencies and amplitudes of the soundfiles, the amount of action (bees) in the video files) will act as strange attractors in the 3D space and they will influence the behaviour of the virtual bee colony (bee-blob) in space.
 {{:sound_beehive:hive-web.jpg?300x236|}} {{:sound_beehive:hive2-web.jpg?300x236|}}
@@ Line 99: / Line 99: @@
 //soundfiles before and after filtering//
+{{:sound_beehive:mons-2015.jpg?800x393|audio installations with beehive recordings}}
+//Transformative Ecologies at Mons-2015: audio installations with beehive recordings//
 **Analysis & synthesis by Givan Bela: Bees along the WatchTower**
@@ Line 105: / Line 107: @@
 //audacity 8-track screenshot//
-**Analysis & synthesis by Billy Bultheel: soundbees**
+**Analysis & synthesis by Bill Bultheel: Sound Bees**
 The beehive recordings pan over the spectrum of a day (from midnight to midnight). As a compositional principle different ideas around swarm formation were investigated.
 The increase and decrease of swarm activity in the hive and its influence on its sound, became a guideline for the transformation of the recordings. Hereby using natural phenomena as musical tools and in retrospect, using musical tools as an artistic rendition or analysis for natural phenomena.
 The audio work tries to embody the bee swarm while simultaneously intersecting the swarm with swirling electronic sound clusters.
+{{:beehive2015:beecomp_billb.png?600x276|}}
+//audacity 8-track screenshot//
-=====examples for the virtual bee-world [to build]=====
+\\
-voorbeelden voor visualization diagrams: http://www.wolfram.com/products/mathematica/newin6/content
-other keywords: scattered plot, point cloud
-/HighImpactAdaptiveVisualization/
+=====Sound data analysis: the relation between airplane noise and the behavioral changes of the bees=====
+It may be a good idea to start to look at a subset of the recordings. It would be interesting to look at the relation between airplane noise (clearly audible on the recordings) and any behavioral changes of the bees.
+Aircraft noise detection itself is a highly non-trivial topic - in attachment two papers that can be used a starting point to explore the literature. Detecting the presence of aircraft noise and correlating it with bee behavior will be an interesting challenge.
+{{:sound_beehive:1-s2.0-s0003682x09002837-main.pdf|Real-time aircraft noise likeness detector}}
+{{:sound_beehive:1-s2.0-s0022460x09000078-main.pdf|Real time aircraft fly-over noise discrimination}}
+{{:sound_beehive:canalroute.png?300x274|}}
+//canaroute over the rooftop garden and apiary of the Brussels Urban Bee Lab
+//
+\\
 =====sensor data cvs-files======