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GEOHACKWEEK.GITHUB.IO

Geohackweek

A workshop and hackathon in geospatial data science at the University of Washington eScience Institute

http://geohackweek.github.io/

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Geohackweek | geohackweek.github.io Reviews
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A workshop and hackathon in geospatial data science at the University of Washington eScience Institute
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3 apply
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5 about geohackweek
6 and neurohackweek
7 information for applicants
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geohackweek,instructors,apply,schedule,about geohackweek,and neurohackweek,information for applicants,time,activity / session,location,instructor s,breakfast provided,data science studio,git/github,dss meeting room,dss seminar room,break,lunch provided
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Geohackweek | geohackweek.github.io Reviews

https://geohackweek.github.io

A workshop and hackathon in geospatial data science at the University of Washington eScience Institute

INTERNAL PAGES

geohackweek.github.io geohackweek.github.io
1

Introductory Material

http://geohackweek.github.io/Introductory

Getting Started with Git. This lesson is a template for creating geohackweek. It is based on the lesson template used in Data Carpentry. How can I use conda in managing all the libraries for my projects. How to use Docker? Getting Started with Git. What is Git and Github? Why are we using Git? What have we learned?

2

Multidimensional Arrays

http://geohackweek.github.io/nDarrays

Datasets for the xarray tutorial. Introduction to multidimensional arrays. This lesson is a template for creating geohackweek. It is based on the lesson template used in Data Carpentry. Datasets for the xarray tutorial. What sample datasets will we use in this tutorial? Introduction to multidimensional arrays. When do we need to use multidimensional arrays? What are current challenges is manipulating these datasets? What functionality does the xarray library offer? What have we learned?

3

Vector Data Processing using Python Tools

http://geohackweek.github.io/vector

Encodings, Formats and Libraries. Vector Data Processing using Python Tools. This lesson is a template for creating geohackweek. It is based on the lesson template used in Data Carpentry. What is ‘vector’ geospatial data all about? Encodings, Formats and Libraries. What are the common ways to encode vector geospatial data in Python, and how much is borrowed from broader encoding standards? What functionality and advantages does GeoPandas offer over other Python geospatial tools?

4

cloud computing for geospatial applications

http://geohackweek.github.io/cloud

Intro to cloud computing in geoscience. Geoserver for sharing geospatial data on AWS. Cloud computing for geospatial applications. This lesson is a template for creating geohackweek. It is based on the lesson template used in Data Carpentry. Intro to cloud computing in geoscience. What are the basic virtues / benefits of using the public cloud? What are cloud drawbacks? How would I go about getting started with cloud computing? Geoserver for sharing geospatial data on AWS. How did this go?

5

Raster processing using Python Tools

http://geohackweek.github.io/raster

Introduction: Working with Raster Data. Efficient raster computation with PyGeoProcessing. Raster processing using Python Tools. This lesson is a template for creating geohackweek. It is based on the lesson template used in Data Carpentry. Introduction: Working with Raster Data. What is a raster? What sorts of information does a raster typically model? What are the major charateristics of a raster dataset? What assumptions does the format imply? What functionality does GDAL offer?

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depts.washington.edu depts.washington.edu

Offshoots | School of Environmental and Forest Sciences (SEFS)

http://depts.washington.edu/sefsblog

School of Environmental and Forest Sciences (SEFS). Skip to primary content. Skip to secondary content. College of the Environment. Geohackweek: A Five-Day Geospatial Workshop. August 18, 2016. From November 14 to 18, the U niversity of Washington’s eScience Institute. Will be hosting a five-day Geohackweek. Access, store and manage environmental datasets like climate grids;. Create beautiful maps and visualizations that are easily shareable;. While the workshops will predominantly be taught using Python...

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Workshop on geospatial data science. University of Washington eScience Institute. November 14-18, 2016. Geohackweek is a 5-day workshop to be held at the University of Washington eScience Institute. Participants will learn about open source technologies used to analyze geospatial datasets. Mornings will consist of interactive lectures, and afternoon sessions will involve facilitated exploration of datasets and hands-on software development. This format is inspired by astrohackweek. Amanda Tan, UW IT.

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