20190510 14244800 1.0 FALSE station_data_no_missing 002 0.000 Geographic GCS_WGS_1984 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.3.0'><WKT>GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>1111948722.2222221</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem> 20190510 11113500 20190510 11113500 Esri ArcGIS 12.3.2.15850 station_data_no_missing <span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:12pt;'>This is an archived copy of the tutorial data and will no longer be updated. For an up-to-date version, available only in English, please see </span><a href='https://www.esri.com/training/catalog/6410be7e4d750615175b34eb/regression-analysis-building-a-regression-model-using-arcgis-pro/' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;' target='_blank' rel='nofollow ugc noopener noreferrer'>Regression Analysis: Building a Regression Model Using ArcGIS Pro</a><font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, sans-serif' style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>, </font><a href='https://www.esri.com/training/catalog/6410be434d750615175b2b53/regression-analysis-performing-random-forest-regression-using-arcgis-pro/' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;' target='_blank' rel='nofollow ugc noopener noreferrer'>Regression Analysis: Performing Random Forest Regression Using ArcGIS Pro</a><font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, sans-serif' style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>, and </font><a href='https://www.esri.com/training/catalog/6410bb9f4d750615175acc87/downscaling-a-prediction-model-using-arcgis-notebooks-and-arcgis-pro/' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;' target='_blank' rel='nofollow ugc noopener noreferrer'>Downscaling a Prediction Model Using ArcGIS Notebooks and ArcGIS Pro</a><font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, sans-serif' style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>.</font> station climate change machine learning This dataset contains a subset of weather station data with associated simulated GCM (general or global circulation model) variables at respective locations and time steps. 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