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Sliding Window Geospatial Tool


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Type: Resource
Storage: The size of this resource is 3.0 MB
Created: Jun 26, 2020 at 7:32 a.m.
Last updated: Nov 13, 2020 at 5:51 p.m.
Citation: See how to cite this resource
Content types: Geographic Feature Content 
Sharing Status: Discoverable
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Abstract

This resource collects teaching materials that are originally created for the in-person course 'GEOSC/GEOG 497 – Data Mining in Environmental Sciences' at Penn State University (co-taught by Tao Wen, Susan Brantley, and Alan Taylor) and then refined/revised by Tao Wen to be used in the online teaching module 'Data Science in Earth and Environmental Sciences' hosted on the NSF-sponsored HydroLearn platform.

This resource includes both R Notebooks and Python Jupyter Notebooks to teach the basics of R and Python coding, data analysis and data visualization, as well as building machine learning models in both programming languages by using authentic research data and questions. All of these R/Python scripts can be executed either on the CUAHSI JupyterHub or on your local machine.

This resource is shared under the CC-BY license. Please contact the creator Tao Wen at Syracuse University (twen08@syr.edu) for any questions you have about this resource. If you identify any errors in the files, please contact the creator.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
41.9976°
East Longitude
-75.8755°
South Latitude
41.4976°
West Longitude
-76.9411°

Content

  You do not have permission to see these content files. Please contact an Owner if you wish to obtain access.

Related Resources

The content of this resource is derived from https://github.com/jaywt/SWGT

How to Cite

Wen, T. (2020). Sliding Window Geospatial Tool, HydroShare, http://www.hydroshare.org/resource/c5b5bb7db40040daa847807040b9bb8b

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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