Udemy – Spatial Analysis and Geospatial Data Science With Python
English | Tutorial | Size: 1.58 GB
Learn how to process and visualize geospatial data and perform spatial analysis using Python.
Udemy – Spatial Analysis and Geospatial Data Science With Python
English | Tutorial | Size: 1.58 GB
Udemy – Big Geospatial Data Analysis with Google Earth Engine
English | Tutorial | Size: 3.06 GB
PluralSight – Querying Geospatial Data from MongoDB-BOOKWARE-KNiSO
English | Size: 114.82 MB
Category: Tutorial
Packt – Learning the FOSS4G Stack Python for Geospatial-XQZT
English | Size: 822.92 MB
Category: Tutorial
If you work in the field of GIS, you’ve probably heard everyone talking about Python, whether it’s Arcpy in ArcGIS or special Python packages for geocoding. In this course, you’ll learn how to write Python code to perform spatial analysis. The course focuses primarily on integrating different spatial libraries within your Python code. With the help of videos, you’ll see how you can solve spatial problems by blending Python code with various packages.
How NASA Is Building a Petabyte-Scale Geospatial Archive in the Cloud
English | Size: 1.41 GB
Category: Tutorial
EOSDIS is working toward a vision of a cloud-based, highly flexible system to meet its ever-growing and evolving data demands. Cumulus, a free and open source framework, supports this vision via configurable workflows to ingest, process, archive, manage, and distribute NASA’s Earth imagery. The Cumulus infrastructure is designed for scalability and reliability, using much of the AWS serverless platform, which enables Cumulus to scale in real time to be performant under the largest expected workloads.