Alberto Nieto is a Product Engineer in Esri’s Spatial Statistics team. In his role, he helps research, build, and maintain spatial data science capabilities in ArcGIS and works closely with government agencies to learn about the problems our software can help solve. Alberto’s goal is to help anyone that wants to use science and geography to analyze and improve the world that our children will live in. He loves data science, python, and dad humor, which he has been refining all his life.
Introducing the new Data Engineering view in ArcGIS Pro - a place to explore, visualize, clean, and prepare your data.
The upcoming release of ArcGIS Pro 2.8 introduces the SAS®-ArcGIS Bridge, expanding your repertoire of data science capabilities.
ArcGIS Pro 2.2 has an exciting machine learning tool that can help make predictions, called Forest-based Classification and Regression.
You may not be surprised to learn that transportation in the United States is dominated by automobiles. Of all the miles traveled by Amer...
Jupyter Notebooks have become a crucial tool in the Python and Data Science communities over the past years. Their seamless integration...
We’ve discussed a few reasons to use Jupyter Notebooks as a GIS user. From visualization of your data to the recent integration with t...
Jupyter Notebook is a powerful tool that allows Python users to create and share documents containing live code, visualizations, explan...
