Global deforestation through time. Presentation at ESA

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Presentation given at Big Data from Space at ESA ESRIN

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Global deforestation through time. Presentation at ESA

  1. 1. Global&Deforesta-on&through&Time&Big$Data$Meets$Scalable$Visualiza2ons$|$Javier$de$la$Torre$;$CartoDB$
  2. 2. MAKE BEAUTIFUL MAPS - BUILD GEOSPATIAL APPLICATIONS - LET YOU GAIN INSIGHT FROM YOUR DATA
  3. 3. http://en.wikipedia.org/wiki/Bakun_Dam
  4. 4. Geo-temporal visualizationsCartoDB and Torque
  5. 5. Datacubes•BI/Finance analysis•multidimensional•summary data•binned variables
  6. 6. WITH%hgrid%%%%%%AS%(SELECT%Cdb_rectanglegrid(Cdb_xyz_extent(8,%12,%5),%%%%%%%%%%%%%%%%%Cdb_xyz_resolution(5)%*%4,%%%%%%%%%%%%%%%%%%%%%%%%%%%%Cdb_xyz_resolution(5)%*%4)%AS%cell)%SELECT%x,%%%%%%%%y,%%%%%%%%Array_agg(c)%vals,%%%%%%%%Array_agg(d)%dates%FROM%%%(SELECT%St_xmax(hgrid.cell)%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%x,%%%%%%%%%%%%%%%%St_ymax(hgrid.cell)%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%y,%%%%%%%%%%%%%%%%Count(i.cartodb_id)%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%c,%%%%%%%%%%%%%%%%Floor((%Date_part(epoch,%built)%Q%Q10418716800%)%/%32837875)%d%%%%%%%%%FROM%%%hgrid,%%%%%%%%%%%%%%%%us_po_offices%i%%%%%%%%%WHERE%%St_intersects(i.the_geom_webmercator,%hgrid.cell)%%%%%%%%%GROUP%%BY%hgrid.cell,%%%%%%%%%%%%%%%%%%%Floor((%Date_part(epoch,%built)%Q%Q10418716800%)%/%32837875)%%%%%%%%)%f%GROUP%%BY%x,%%%%%%%%%%%y
  7. 7. {%%rows:%[%%{%%%%x:%0,%%%%y:%0,%%%%vals:%[2],%%%%dates:%[457]%%},%%{%%%%x:%1,%%%%y:%0,%%%%vals:%[1,1,4],%%%%dates:%[2,3,4]%%%%}%%]}
  8. 8. 11010010003mb 70mb 300mb1.521.2300703Raw DatacubePayload sizes
  9. 9. Geo-temporal visualizationsWe have defined a format to transfer data cube “data” to thebrowser.One or many dimensions: use of coded images or JSONGeo-temporal visualizations and data cubes are a greatway of understanding how spatial data changesWe can handle millions of vector data or processed rasters
  10. 10. Global&Deforesta-on&through&Time&Big$Data$Meets$Scalable$Visualiza2ons$|$Javier$de$la$Torre$;$CartoDB$
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