<div dir="ltr"><h1 class="gmail-post-title" style="box-sizing:border-box;margin-bottom:0.5rem;line-height:1.25;color:rgb(48,48,48);font-size:2rem;margin-top:0px;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif">Nº938: serverless, benchmark, considerations, forest fires</h1><p class="gmail-post-date" style="box-sizing:border-box;margin-bottom:1rem;color:rgb(154,154,154);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:18px">Tue, 11 Sep 2018 by Raf</p><ul style="box-sizing:border-box;margin-top:0px;margin-bottom:1rem;color:rgb(81,81,81);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:18px"><li style="box-sizing:border-box">Unattended tile generation, both raster and vector using an Open Source serverless architecture with Amazon Lambda <br style="box-sizing:border-box"><a href="https://www.azavea.com/blog/2018/09/06/tilegarden-serverless-tile-rendering-with-aws-lambda/" style="box-sizing:border-box;color:rgb(38,139,210);text-decoration-line:none;font-size:1em">https://www.azavea.com/blog/2018/09/06/tilegarden-serverless-tile-rendering-with-aws-lambda/</a></li><li style="box-sizing:border-box">Open Source tool using Docker and Natural Earth Open Data to benchmark vector tiles generation <br style="box-sizing:border-box"><a href="https://github.com/pka/mvt-benchmark" style="box-sizing:border-box;color:rgb(38,139,210);text-decoration-line:none;font-size:1em">https://github.com/pka/mvt-benchmark</a></li><li style="box-sizing:border-box">First of three episodes with several thoughts about visualizing, identifying, analyzing and processing geospatial information <br style="box-sizing:border-box"><a href="http://cartonumerique.blogspot.com/2018/09/dechiffrer-linformation-geographique1.html" style="box-sizing:border-box;color:rgb(38,139,210);text-decoration-line:none;font-size:1em">http://cartonumerique.blogspot.com/2018/09/dechiffrer-linformation-geographique1.html</a></li><li style="box-sizing:border-box">Spatiotemporal analysis of the worst California forest fires, because of climate change and population increase, with R code to produce graphs and a map <br style="box-sizing:border-box"><a href="https://buzzfeednews.github.io/2018-07-wildfire-trends/" style="box-sizing:border-box;color:rgb(38,139,210);text-decoration-line:none;font-size:1em">https://buzzfeednews.github.io/2018-07-wildfire-trends/</a></li></ul><div class="gmail-rafaga-content" style="box-sizing:border-box;font-size:smaller;color:rgb(81,81,81);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif"></div><p style="box-sizing:border-box;margin-top:0px;margin-bottom:1rem;color:rgb(81,81,81);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:18px">Raf (62)</p><p style="box-sizing:border-box;margin-top:0px;margin-bottom:1rem;color:rgb(81,81,81);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:18px"><br></p></div>