The 2017 wildfire season shattered records and cost the U.S. Forest Service an unprecedented $2 billion. From the Oregon wildfires to late season fires in Montana, and the highly unusual timing of the California fires in December, it was a busy year in the Western...
GIS professionals interested in data science can start their journey into this field by exploring various spatial data analysist tools offered by ArcGIS and learning how to code. Current GIS software offers many tools that fall into the data science category. As such,...
A recent study from job site Glassdoor showed that data scientist is currently the best job to apply for, offering a median base salary of $110,000 and job satisfaction of 4.4 out of 5. Let´s have a look at the different types of data scientists and the required...
Glassdoor, one of the fastest growing job and recruiting sites, recently rated Data Scientist as the #1 job in America based on number of job openings, salary, and overall job satisfaction. Geospatial Training Services offers a number of classes to help you get up to...
R has a full library of tools for working with spatial data. This includes tools for both vector and raster data, as well as interfacing with data from other sources (like ArcGIS) and making maps. Here are some excellent resources for learning R and R for Spatial...
This blog post covers Esri’s recent involvement in the open data science community and R in particular. Also covered is why R is so popular among statisticians, how the ArcGIS-R bridge can benefit ArcGIS users and the challenges that come with using R. Until 2015,...