<div dir="ltr"><p style="box-sizing:border-box;margin:0px 0px 17px;padding:0px;font-size:14px;line-height:28px;color:rgb(49,49,49);font-family:"open sans",sans-serif"><a href="http://geospatialtraining.com/analyzing-wildfire-activity-with-spatial-analytics-part-2/" target="_blank">In this pos</a>t we’ll continue our analysis of wildfire activity using spatial analytics techniques.  <a href="http://geospatialtraining.com/analyzing-wildfire-activity-with-spatial-analytics-part-1/" target="_blank"><font color="#f88c00"><span style="box-sizing:border-box;outline-color:initial;outline-width:initial">In part </span></font>one</a>, we downloaded historical wildfire information for the years 2002-2016 from a USGS ArcGIS Server map service for the United States.  Each year was exported to an individual feature class containing wildfires for that particular year only.  After downloading the data we appended the annual wildfire information into a single feature class containing all wildfire information for the 2002-2016 time period, and we cleaned up the dataset.<br></p><p style="box-sizing:border-box;margin:0px 0px 17px;padding:0px;font-size:14px;line-height:28px;color:rgb(49,49,49);font-family:"open sans",sans-serif">Today’s post will continue to massage the dataset and we’ll also define our study parameters, and perform some basic hot spot and cluster and outlier analysis.  Future articles will focus on using various spatial analytics tools and the R programming language to analyze the data in support of our study parameters.</p><p style="box-sizing:border-box;margin:0px 0px 17px;padding:0px;font-size:14px;line-height:28px;color:rgb(49,49,49);font-family:"open sans",sans-serif"><a href="http://geospatialtraining.com/analyzing-wildfire-activity-with-spatial-analytics-part-2/" target="_blank">Read the entire article</a></p><p style="box-sizing:border-box;margin:0px 0px 17px;padding:0px;font-size:14px;line-height:28px;color:rgb(49,49,49);font-family:"open sans",sans-serif"><b>Upcoming GIS Classes in Pacific Northwest</b></p><p style="box-sizing:border-box;margin:0px 0px 17px;padding:0px;font-size:14px;line-height:28px;color:rgb(49,49,49);font-family:"open sans",sans-serif"></p><ul style="font-size:12.8px"><li style="margin-left:15px"><a href="http://geospatialtraining.com/introduction-to-spatial-statistics-with-arcgis-desktop-and-r/" target="_blank">Introduction to Spatial Statistics using ArcGIS and R</a> - October 9th and 10th - Boise, ID (NWGIS User Conference)</li><li style="margin-left:15px"><a href="http://geospatialtraining.com/introduction-to-spatial-statistics-with-arcgis-desktop-and-r/" target="_blank">Introduction to Spatial Statistics using ArcGIS and R</a> - October 30th and 31st - Seattle, WA</li><li style="margin-left:15px"><a href="http://geospatialtraining.com/introduction-to-arcgis-pro/">Learning ArcGIS Pro 1: Fundamentals</a> - July 31st and August 1st - Portland, OR</li><li style="margin-left:15px"><a href="http://geospatialtraining.com/introduction-to-programming-arcgis-pro-with-python/">Introduction to Programming ArcGIS Pro with Python</a> - August 2nd and 3rd - Portland, OR</li><li style="margin-left:15px"><a href="http://geospatialtraining.com/r-for-data-science-i-r-programming-and-efficient-data-management/">R for Data Science I: Programming and Efficient Data Management</a> - October 30th - Seattle, WA</li></ul><br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr">Eric Pimpler<div>President/Owner</div><div>Geospatial Training Services</div><div>215 W Bandera #114-104</div><div>Boerne, TX 78006</div><div><a href="http://geospatialtraining.com" target="_blank">http://geospatialtraining.com</a></div><div>Twitter - @gistraining</div><div><a href="mailto:eric@geospatialtraining.com" target="_blank">eric@geospatialtraining.com</a></div><div>210-260-4992</div><div><img src="https://docs.google.com/uc?export=download&id=0B_RedqMndSBta1ZoN2FSbmQyMkk&revid=0B_RedqMndSBtZGJmcUVkOE9JVjBlK3N5TS9oSVpUM0k3ditFPQ" width="200" height="79"><br></div><div><br></div></div></div></div>