Submission Number: 309
Submission ID: 4718
Submission UUID: af46f6f7-2830-4e2f-be0a-77f12a401356
Submission URI: /form/resource

Created: Mon, 08/12/2024 - 12:02
Completed: Mon, 08/12/2024 - 12:05
Changed: Fri, 03/14/2025 - 11:43

Remote IP address: 38.75.234.160
Submitted by: Kevin Worthington
Language: English

Is draft: No
Approved: Yes
Title: Spatial Data Science in the Cloud (Alpine HPC) using Python
Category: Learning
Tags:
cloud (815), big-data (4), data-analysis (422), gis (275), hpc-getting-started (824), slurm (71), git (457), anaconda (535), python (69)

Skill Level:
Beginner (304), Intermediate (305)

Description:
Spatial Data Science is a growing field across a wide range of industries and disciplines. The open-source programming language Python has many libraries that support spatial analysis, but what do you do when your computer is unable to tackle the massive file sizes of high-resolution data and the computing power required in your analysis? 

There materials have been prepared to teach you spatial data science and how to execute your analysis using a high-performance computer (HPC). 

Link to Resource:
- Spatial Data Science in the Cloud (Alpine HPC) using Python Webpage (https://libguides.colostate.edu/coding-cookies/spatial_data_science_on_hpc)

Domain:
ACCESS CSSN (780), Campus Champions (572), CAREERS (323), CCMNet (835), Great Plains (311), Kentucky (322), Northeast (308)