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Several sciences are naturally geospatial \n* forestry, \n* geography, \n* geology, \n* seismology, \n* etc. etc.\n\nSee for example the global EQ datastreams from US geological Service below.\n\n**A bold idea: **\nImagine the non-parametric inference problem of estimating co-exciting Hawkes-like processes for modelling earth quakes on the entire planet! \n\nFor a global data source, see US geological Service's Earthquake hazards Program [\"http://earthquake.usgs.gov/data/](http://earthquake.usgs.gov/data/).","commandVersion":0,"state":"finished","results":null,"errorSummary":null,"error":null,"startTime":0.0,"submitTime":0.0,"finishTime":0.0,"collapsed":false,"bindings":{},"inputWidgets":{},"displayType":"table","width":"auto","height":"auto","xColumns":null,"yColumns":null,"pivotColumns":null,"pivotAggregation":null,"customPlotOptions":{},"commentThread":[],"commentsVisible":false,"parentHierarchy":[],"diffInserts":[],"diffDeletes":[],"globalVars":{},"latestUser":"","commandTitle":"","showCommandTitle":false,"hideCommandCode":false,"hideCommandResult":false,"iPythonMetadata":null,"nuid":"89061837-ea44-470b-8d52-a12dca3eab7b"},{"version":"CommandV1","origId":118526,"guid":"2918918a-1526-41fa-aba6-9f2ea79224a4","subtype":"command","commandType":"auto","position":3.875,"command":"displayHTML(frameIt(\"http://earthquake.usgs.gov/data/\",700))","commandVersion":0,"state":"finished","results":{"type":"htmlSandbox","data":"<iframe \n src=\"http://earthquake.usgs.gov/data/\"\n width=\"95%\" height=\"700\"\n sandbox>\n <p>\n <a href=\"http://spark.apache.org/docs/latest/ml-features.html\">\n Fallback link for browsers that, unlikely, don't support frames\n </a>\n </p>\n</iframe>","arguments":{},"addedWidgets":{},"removedWidgets":[]},"errorSummary":null,"error":null,"startTime":1.463629770515E12,"submitTime":1.463629615426E12,"finishTime":1.463629770562E12,"collapsed":false,"bindings":{},"inputWidgets":{},"displayType":"table","width":"auto","height":"auto","xColumns":null,"yColumns":null,"pivotColumns":null,"pivotAggregation":null,"customPlotOptions":{},"commentThread":[],"commentsVisible":false,"parentHierarchy":[],"diffInserts":[],"diffDeletes":[],"globalVars":{},"latestUser":"r.sainudiin@math.canterbury.ac.nz","commandTitle":"","showCommandTitle":false,"hideCommandCode":true,"hideCommandResult":false,"iPythonMetadata":null,"nuid":"5f4e78f6-0bde-4377-bfe8-d2654897a296"},{"version":"CommandV1","origId":116588,"guid":"8175d47f-afd3-4398-851c-8dcc8ec0dfd2","subtype":"command","commandType":"auto","position":4.0,"command":"%md\n\n# [Scalable Data Science](http://www.math.canterbury.ac.nz/~r.sainudiin/courses/ScalableDataScience/)\n\n\n### prepared by [Raazesh Sainudiin](https://nz.linkedin.com/in/raazesh-sainudiin-45955845) and [Sivanand Sivaram](https://www.linkedin.com/in/sivanand)\n\n*supported by* [](https://databricks.com/)\nand \n[](https://www.awseducate.com/microsite/CommunitiesEngageHome)","commandVersion":0,"state":"error","results":null,"errorSummary":null,"error":null,"startTime":0.0,"submitTime":0.0,"finishTime":0.0,"collapsed":false,"bindings":{},"inputWidgets":{},"displayType":"table","width":"auto","height":"auto","xColumns":null,"yColumns":null,"pivotColumns":null,"pivotAggregation":null,"customPlotOptions":{},"commentThread":[],"commentsVisible":false,"parentHierarchy":[],"diffInserts":[],"diffDeletes":[],"globalVars":{},"latestUser":"","commandTitle":"","showCommandTitle":false,"hideCommandCode":false,"hideCommandResult":false,"iPythonMetadata":null,"nuid":"1c27b7d4-7d20-425a-9834-581d8b8ecb1f"}],"dashboards":[],"guid":"fbf24e69-9976-4f7e-9a5e-4770fae4d26e","globalVars":{},"iPythonMetadata":null,"inputWidgets":{}};</script>
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