This is a guest post by Fred Lott and was originally published on the GIS & You blog hosted by King County GIS. There is a wide array of powerful free open-source tools for doing data analysis, and many of them can now handle spatial data. This post will focus on...
The latest version of ArcGIS Pro features new deep learning tools that let users train their data in an external deep learning model and use the results to model or classify their imagery within the ArcGIS platform. What is deep learning and how can it improve...
My latest book, Data Visualization and Exploration with R, has been published, and you can download a free chapter. The book is available in both hard copy and digital formats. You will also want to download and install the exercise data. This book uses RStudio, so...
My new book, Data Visualization and Exploration with R, has been published in digital format and printed paperback versions. This book is a practical guide to using R, RStudio, and tidyverse for data visualization, exploration, and data science applications. $39.00...
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...
The ggmap package enables the visualization of spatial data and spatial statistics in a map format using the layered approach of ggplot2. This package also includes basemaps that give your visualizations context including Google Maps, Open Street Map, Stamen Maps, and...