Simple heatmap visualization using WebGL, with support for spatiotemporal point data.

1. Place data inside folder "./data/[name]/". This same folder must also contain a file info.txt, similar to:

    numpoints: 542059
    bucketcount: 24
    bucketsize: 3600
    tsmin: 1329350400
    tsmax: 1329436800
    latmin: 40.62124942228224
    latmax: 40.867054953252676
    lngmin: -74.09883499145508
    lngmax: -73.69783401489258
   

   where:

    numpoints: number of points in all buckets
    bucketcount: number of csv files
    bucketsize: time range of each csv file, in seconds
    tsmin: first timestep
    tsmax: last timestep
    latmin,latmax,lngmin,lngmax: spatial boud of data
   

2. Run server: python server.py

3. Open https://localhost:8080/?datapath=/[name], where [name] should be replaced by the folder name created in step 1

More: https://vgc.poly.edu/~fmiranda/heatmap/